Hugging Face's logo

andli28
/
poca-SoccerTwos

Reinforcement Learning
ml-agents
TensorBoard
ONNX
unity-ml-agents
deep-reinforcement-learning
ML-Agents-SoccerTwos
Model card Files Metrics Community
andli28 commited on
Commit
f8be013
·
1 Parent(s): fff1068

35M

Browse files
Files changed (32) hide show
  1. README.md +31 -0
  2. SoccerTwos-32999994.onnx +3 -0
  3. SoccerTwos-32999994.pt +3 -0
  4. SoccerTwos-33499974.onnx +3 -0
  5. SoccerTwos-33499974.pt +3 -0
  6. SoccerTwos-33999881.onnx +3 -0
  7. SoccerTwos-33999881.pt +3 -0
  8. SoccerTwos-34499931.onnx +3 -0
  9. SoccerTwos-34499931.pt +3 -0
  10. SoccerTwos-34999998.onnx +3 -0
  11. SoccerTwos-34999998.pt +3 -0
  12. SoccerTwos-499458.pt +3 -0
  13. SoccerTwos/SoccerTwos-32999994.onnx +3 -0
  14. SoccerTwos/SoccerTwos-32999994.pt +3 -0
  15. SoccerTwos/SoccerTwos-33499974.onnx +3 -0
  16. SoccerTwos/SoccerTwos-33499974.pt +3 -0
  17. SoccerTwos/SoccerTwos-33999881.onnx +3 -0
  18. SoccerTwos/SoccerTwos-33999881.pt +3 -0
  19. SoccerTwos/SoccerTwos-34499931.onnx +3 -0
  20. SoccerTwos/SoccerTwos-34499931.pt +3 -0
  21. SoccerTwos/SoccerTwos-34999998.onnx +3 -0
  22. SoccerTwos/SoccerTwos-34999998.pt +3 -0
  23. SoccerTwos/SoccerTwos-499458.pt +3 -0
  24. SoccerTwos/checkpoint.pt +3 -0
  25. SoccerTwos/events.out.tfevents.1682450411.Andy-HP-OMEN.8684.0 +3 -0
  26. checkpoint.pt +3 -0
  27. config.json +1 -0
  28. configuration.yaml +82 -0
  29. events.out.tfevents.1682450411.Andy-HP-OMEN.8684.0 +3 -0
  30. run_logs/Player-0.log +504 -0
  31. run_logs/timers.json +645 -0
  32. run_logs/training_status.json +10 -0
README.md ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ ---
3
+ tags:
4
+ - unity-ml-agents
5
+ - ml-agents
6
+ - deep-reinforcement-learning
7
+ - reinforcement-learning
8
+ - ML-Agents-SoccerTwos
9
+ library_name: ml-agents
10
+ ---
11
+
12
+ # **poca** Agent playing **SoccerTwos**
13
+ This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
14
+
15
+ ## Usage (with ML-Agents)
16
+ The Documentation: https://github.com/huggingface/ml-agents#get-started
17
+ We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
18
+
19
+
20
+ ### Resume the training
21
+ ```
22
+ mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
23
+ ```
24
+ ### Watch your Agent play
25
+ You can watch your agent **playing directly in your browser:**.
26
+
27
+ 1. Go to https://huggingface.co/spaces/unity/ML-Agents-SoccerTwos
28
+ 2. Step 1: Write your model_id: andli28/poca-SoccerTwos
29
+ 3. Step 2: Select your *.nn /*.onnx file
30
+ 4. Click on Watch the agent play 👀
31
+
SoccerTwos-32999994.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4ce0112b0c56e56894969503164d04c4193bba4989bedaa0c8239cd5302b7050
3
+ size 1768746
SoccerTwos-32999994.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:52cf5ad692e9aea7181394f150fada36a554eb6ac85985557c2d421e00d50cc7
3
+ size 28431689
SoccerTwos-33499974.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:725fe066431750b779c7a72bfed08a52536838121d763777ff3e0588f942520b
3
+ size 1768746
SoccerTwos-33499974.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:da82ed1a6bc3cdceff3296837ee56a1062bc78ca67b0178df694ca99697e720d
3
+ size 28431689
SoccerTwos-33999881.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bad548398560f063c9491c6d0ebcebac13fa7109283bd1638fe6c0fe046aa9be
3
+ size 1768746
SoccerTwos-33999881.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a40e5fbbcd3895007269f18714f13010b276f9978d620b2372928b4090dbe2b7
3
+ size 28431689
SoccerTwos-34499931.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bd594df54130fa696d6624c20478f0a7e0048963b74d243f5d70bd7d4e1932c2
3
+ size 1768746
SoccerTwos-34499931.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bc41e2d758e5d6b6283e1bddb02b1d572f92b60c1bea8281222f9e99d7c4dceb
3
+ size 28431689
SoccerTwos-34999998.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cce7135a3c8a7f2d6d874b15f496c52f8717ff4d3759a4fcc3919d6eba4150ec
3
+ size 1768746
SoccerTwos-34999998.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:89e8e3aeba2c719e5bf02611452b1b79f13fa8293098dc1685a706a91dba87bc
3
+ size 28431689
SoccerTwos-499458.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a2a9c8bc49c5b1ea67f0fccde97ec6e33ff0bd138387696a54e8e8260a29f51
3
+ size 28431445
SoccerTwos/SoccerTwos-32999994.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4ce0112b0c56e56894969503164d04c4193bba4989bedaa0c8239cd5302b7050
3
+ size 1768746
SoccerTwos/SoccerTwos-32999994.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:52cf5ad692e9aea7181394f150fada36a554eb6ac85985557c2d421e00d50cc7
3
+ size 28431689
SoccerTwos/SoccerTwos-33499974.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:725fe066431750b779c7a72bfed08a52536838121d763777ff3e0588f942520b
3
+ size 1768746
SoccerTwos/SoccerTwos-33499974.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:da82ed1a6bc3cdceff3296837ee56a1062bc78ca67b0178df694ca99697e720d
3
+ size 28431689
SoccerTwos/SoccerTwos-33999881.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bad548398560f063c9491c6d0ebcebac13fa7109283bd1638fe6c0fe046aa9be
3
+ size 1768746
SoccerTwos/SoccerTwos-33999881.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a40e5fbbcd3895007269f18714f13010b276f9978d620b2372928b4090dbe2b7
3
+ size 28431689
SoccerTwos/SoccerTwos-34499931.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bd594df54130fa696d6624c20478f0a7e0048963b74d243f5d70bd7d4e1932c2
3
+ size 1768746
SoccerTwos/SoccerTwos-34499931.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bc41e2d758e5d6b6283e1bddb02b1d572f92b60c1bea8281222f9e99d7c4dceb
3
+ size 28431689
SoccerTwos/SoccerTwos-34999998.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cce7135a3c8a7f2d6d874b15f496c52f8717ff4d3759a4fcc3919d6eba4150ec
3
+ size 1768746
SoccerTwos/SoccerTwos-34999998.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:89e8e3aeba2c719e5bf02611452b1b79f13fa8293098dc1685a706a91dba87bc
3
+ size 28431689
SoccerTwos/SoccerTwos-499458.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a2a9c8bc49c5b1ea67f0fccde97ec6e33ff0bd138387696a54e8e8260a29f51
3
+ size 28431445
SoccerTwos/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5d8eef1cf1d8d61fa519f074a3551a731224b796afb1386fadad85910b534d72
3
+ size 28430591
SoccerTwos/events.out.tfevents.1682450411.Andy-HP-OMEN.8684.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8a32ae899b5f4179df931fe68c23116796a281f7e56a560512d03c3dc622870c
3
+ size 35864706
checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5d8eef1cf1d8d61fa519f074a3551a731224b796afb1386fadad85910b534d72
3
+ size 28430591
config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"default_settings": null, "behaviors": {"SoccerTwos": {"trainer_type": "poca", "hyperparameters": {"batch_size": 2048, "buffer_size": 20480, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "learning_rate_schedule": "constant", "beta_schedule": "constant", "epsilon_schedule": "constant"}, "checkpoint_interval": 500000, "network_settings": {"normalize": false, "hidden_units": 512, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.99, "strength": 1.0, "network_settings": {"normalize": false, "hidden_units": 128, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}}}, "init_path": null, "keep_checkpoints": 5, "even_checkpoints": false, "max_steps": 50000000, "time_horizon": 1000, "summary_freq": 10000, "threaded": false, "self_play": {"save_steps": 50000, "team_change": 250000, "swap_steps": 10000, "window": 10, "play_against_latest_model_ratio": 0.5, "initial_elo": 1200.0}, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/SoccerTwos/SoccerTwos.x86_64", "env_args": null, "base_port": 5005, "num_envs": 1, "num_areas": 1, "seed": -1, "max_lifetime_restarts": 10, "restarts_rate_limit_n": 1, "restarts_rate_limit_period_s": 60}, "engine_settings": {"width": 84, "height": 84, "quality_level": 5, "time_scale": 20, "target_frame_rate": -1, "capture_frame_rate": 60, "no_graphics": true}, "environment_parameters": null, "checkpoint_settings": {"run_id": "SoccerTwos", "initialize_from": null, "load_model": false, "resume": false, "force": true, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
configuration.yaml ADDED
@@ -0,0 +1,82 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ default_settings: null
2
+ behaviors:
3
+ SoccerTwos:
4
+ trainer_type: poca
5
+ hyperparameters:
6
+ batch_size: 2048
7
+ buffer_size: 20480
8
+ learning_rate: 0.0003
9
+ beta: 0.005
10
+ epsilon: 0.2
11
+ lambd: 0.95
12
+ num_epoch: 3
13
+ learning_rate_schedule: constant
14
+ beta_schedule: constant
15
+ epsilon_schedule: constant
16
+ checkpoint_interval: 500000
17
+ network_settings:
18
+ normalize: false
19
+ hidden_units: 512
20
+ num_layers: 2
21
+ vis_encode_type: simple
22
+ memory: null
23
+ goal_conditioning_type: hyper
24
+ deterministic: false
25
+ reward_signals:
26
+ extrinsic:
27
+ gamma: 0.99
28
+ strength: 1.0
29
+ network_settings:
30
+ normalize: false
31
+ hidden_units: 128
32
+ num_layers: 2
33
+ vis_encode_type: simple
34
+ memory: null
35
+ goal_conditioning_type: hyper
36
+ deterministic: false
37
+ init_path: null
38
+ keep_checkpoints: 5
39
+ even_checkpoints: false
40
+ max_steps: 50000000
41
+ time_horizon: 1000
42
+ summary_freq: 10000
43
+ threaded: false
44
+ self_play:
45
+ save_steps: 50000
46
+ team_change: 250000
47
+ swap_steps: 10000
48
+ window: 10
49
+ play_against_latest_model_ratio: 0.5
50
+ initial_elo: 1200.0
51
+ behavioral_cloning: null
52
+ env_settings:
53
+ env_path: ./training-envs-executables/SoccerTwos/SoccerTwos.x86_64
54
+ env_args: null
55
+ base_port: 5005
56
+ num_envs: 1
57
+ num_areas: 1
58
+ seed: -1
59
+ max_lifetime_restarts: 10
60
+ restarts_rate_limit_n: 1
61
+ restarts_rate_limit_period_s: 60
62
+ engine_settings:
63
+ width: 84
64
+ height: 84
65
+ quality_level: 5
66
+ time_scale: 20
67
+ target_frame_rate: -1
68
+ capture_frame_rate: 60
69
+ no_graphics: true
70
+ environment_parameters: null
71
+ checkpoint_settings:
72
+ run_id: SoccerTwos
73
+ initialize_from: null
74
+ load_model: false
75
+ resume: false
76
+ force: true
77
+ train_model: false
78
+ inference: false
79
+ results_dir: results
80
+ torch_settings:
81
+ device: null
82
+ debug: false
events.out.tfevents.1682450411.Andy-HP-OMEN.8684.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3bdf888ce31feeab1360c886e192bf01623f7435aeb123b8ee165181fd310822
3
+ size 35813118
run_logs/Player-0.log ADDED
@@ -0,0 +1,504 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mono path[0] = '/home/andli/src/ml-agents/training-envs-executables/SoccerTwos/SoccerTwos_Data/Managed'
2
+ Mono config path = '/home/andli/src/ml-agents/training-envs-executables/SoccerTwos/SoccerTwos_Data/MonoBleedingEdge/etc'
3
+ Preloaded 'lib_burst_generated.so'
4
+ Preloaded 'libgrpc_csharp_ext.x64.so'
5
+ Initialize engine version: 2021.3.14f1 (eee1884e7226)
6
+ [Subsystems] Discovering subsystems at path /home/andli/src/ml-agents/training-envs-executables/SoccerTwos/SoccerTwos_Data/UnitySubsystems
7
+ Forcing GfxDevice: Null
8
+ GfxDevice: creating device client; threaded=0; jobified=0
9
+ NullGfxDevice:
10
+ Version: NULL 1.0 [1.0]
11
+ Renderer: Null Device
12
+ Vendor: Unity Technologies
13
+ Begin MonoManager ReloadAssembly
14
+ - Completed reload, in 0.056 seconds
15
+ ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
16
+ ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
17
+ ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
18
+ WARNING: Shader Unsupported: 'Standard (Specular setup)' - All subshaders removed
19
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
20
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
21
+ ERROR: Shader Standard (Specular setup) shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
22
+ WARNING: Shader Unsupported: 'Standard (Specular setup)' - All subshaders removed
23
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
24
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
25
+ WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
26
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
27
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
28
+ ERROR: Shader Autodesk Interactive shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
29
+ WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
30
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
31
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
32
+ WARNING: Shader Unsupported: 'Standard' - All subshaders removed
33
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
34
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
35
+ ERROR: Shader Standard shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
36
+ WARNING: Shader Unsupported: 'Standard' - All subshaders removed
37
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
38
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
39
+ UnloadTime: 0.697865 ms
40
+ Registered Communicator in Agent.
41
+ ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
42
+ requesting resize 84 x 84
43
+ TOO LONG
44
+ TOO LONG
45
+ TOO LONG
46
+ TOO LONG
47
+ TOO LONG
48
+ TOO LONG
49
+ TOO LONG
50
+ TOO LONG
51
+ TOO LONG
52
+ TOO LONG
53
+ TOO LONG
54
+ TOO LONG
55
+ TOO LONG
56
+ TOO LONG
57
+ TOO LONG
58
+ TOO LONG
59
+ TOO LONG
60
+ TOO LONG
61
+ TOO LONG
62
+ TOO LONG
63
+ TOO LONG
64
+ TOO LONG
65
+ TOO LONG
66
+ TOO LONG
67
+ TOO LONG
68
+ TOO LONG
69
+ TOO LONG
70
+ TOO LONG
71
+ TOO LONG
72
+ TOO LONG
73
+ TOO LONG
74
+ TOO LONG
75
+ TOO LONG
76
+ TOO LONG
77
+ TOO LONG
78
+ TOO LONG
79
+ TOO LONG
80
+ TOO LONG
81
+ TOO LONG
82
+ TOO LONG
83
+ TOO LONG
84
+ TOO LONG
85
+ TOO LONG
86
+ TOO LONG
87
+ TOO LONG
88
+ TOO LONG
89
+ TOO LONG
90
+ TOO LONG
91
+ TOO LONG
92
+ TOO LONG
93
+ TOO LONG
94
+ TOO LONG
95
+ TOO LONG
96
+ TOO LONG
97
+ TOO LONG
98
+ TOO LONG
99
+ TOO LONG
100
+ TOO LONG
101
+ TOO LONG
102
+ TOO LONG
103
+ TOO LONG
104
+ TOO LONG
105
+ TOO LONG
106
+ TOO LONG
107
+ TOO LONG
108
+ TOO LONG
109
+ TOO LONG
110
+ TOO LONG
111
+ TOO LONG
112
+ TOO LONG
113
+ TOO LONG
114
+ TOO LONG
115
+ TOO LONG
116
+ TOO LONG
117
+ TOO LONG
118
+ TOO LONG
119
+ TOO LONG
120
+ TOO LONG
121
+ TOO LONG
122
+ TOO LONG
123
+ TOO LONG
124
+ TOO LONG
125
+ TOO LONG
126
+ TOO LONG
127
+ TOO LONG
128
+ TOO LONG
129
+ TOO LONG
130
+ TOO LONG
131
+ TOO LONG
132
+ TOO LONG
133
+ TOO LONG
134
+ TOO LONG
135
+ TOO LONG
136
+ TOO LONG
137
+ TOO LONG
138
+ TOO LONG
139
+ TOO LONG
140
+ TOO LONG
141
+ TOO LONG
142
+ TOO LONG
143
+ TOO LONG
144
+ TOO LONG
145
+ TOO LONG
146
+ TOO LONG
147
+ TOO LONG
148
+ TOO LONG
149
+ TOO LONG
150
+ TOO LONG
151
+ TOO LONG
152
+ TOO LONG
153
+ TOO LONG
154
+ TOO LONG
155
+ TOO LONG
156
+ TOO LONG
157
+ TOO LONG
158
+ TOO LONG
159
+ TOO LONG
160
+ TOO LONG
161
+ TOO LONG
162
+ TOO LONG
163
+ TOO LONG
164
+ TOO LONG
165
+ TOO LONG
166
+ TOO LONG
167
+ TOO LONG
168
+ TOO LONG
169
+ TOO LONG
170
+ TOO LONG
171
+ TOO LONG
172
+ TOO LONG
173
+ TOO LONG
174
+ TOO LONG
175
+ TOO LONG
176
+ TOO LONG
177
+ TOO LONG
178
+ TOO LONG
179
+ TOO LONG
180
+ TOO LONG
181
+ TOO LONG
182
+ TOO LONG
183
+ TOO LONG
184
+ TOO LONG
185
+ TOO LONG
186
+ TOO LONG
187
+ TOO LONG
188
+ TOO LONG
189
+ TOO LONG
190
+ TOO LONG
191
+ TOO LONG
192
+ TOO LONG
193
+ TOO LONG
194
+ TOO LONG
195
+ TOO LONG
196
+ TOO LONG
197
+ TOO LONG
198
+ TOO LONG
199
+ TOO LONG
200
+ TOO LONG
201
+ TOO LONG
202
+ TOO LONG
203
+ TOO LONG
204
+ TOO LONG
205
+ TOO LONG
206
+ TOO LONG
207
+ TOO LONG
208
+ TOO LONG
209
+ TOO LONG
210
+ TOO LONG
211
+ TOO LONG
212
+ TOO LONG
213
+ TOO LONG
214
+ TOO LONG
215
+ TOO LONG
216
+ TOO LONG
217
+ TOO LONG
218
+ TOO LONG
219
+ TOO LONG
220
+ TOO LONG
221
+ TOO LONG
222
+ TOO LONG
223
+ TOO LONG
224
+ TOO LONG
225
+ TOO LONG
226
+ TOO LONG
227
+ TOO LONG
228
+ TOO LONG
229
+ TOO LONG
230
+ TOO LONG
231
+ TOO LONG
232
+ TOO LONG
233
+ TOO LONG
234
+ TOO LONG
235
+ TOO LONG
236
+ TOO LONG
237
+ TOO LONG
238
+ TOO LONG
239
+ TOO LONG
240
+ TOO LONG
241
+ TOO LONG
242
+ TOO LONG
243
+ TOO LONG
244
+ TOO LONG
245
+ TOO LONG
246
+ TOO LONG
247
+ TOO LONG
248
+ TOO LONG
249
+ TOO LONG
250
+ TOO LONG
251
+ TOO LONG
252
+ TOO LONG
253
+ TOO LONG
254
+ TOO LONG
255
+ TOO LONG
256
+ TOO LONG
257
+ TOO LONG
258
+ TOO LONG
259
+ TOO LONG
260
+ TOO LONG
261
+ TOO LONG
262
+ TOO LONG
263
+ TOO LONG
264
+ TOO LONG
265
+ TOO LONG
266
+ TOO LONG
267
+ TOO LONG
268
+ TOO LONG
269
+ TOO LONG
270
+ TOO LONG
271
+ TOO LONG
272
+ TOO LONG
273
+ TOO LONG
274
+ TOO LONG
275
+ TOO LONG
276
+ TOO LONG
277
+ TOO LONG
278
+ TOO LONG
279
+ TOO LONG
280
+ TOO LONG
281
+ TOO LONG
282
+ TOO LONG
283
+ TOO LONG
284
+ TOO LONG
285
+ TOO LONG
286
+ TOO LONG
287
+ TOO LONG
288
+ TOO LONG
289
+ TOO LONG
290
+ TOO LONG
291
+ TOO LONG
292
+ TOO LONG
293
+ TOO LONG
294
+ TOO LONG
295
+ TOO LONG
296
+ TOO LONG
297
+ TOO LONG
298
+ TOO LONG
299
+ TOO LONG
300
+ TOO LONG
301
+ TOO LONG
302
+ TOO LONG
303
+ TOO LONG
304
+ TOO LONG
305
+ TOO LONG
306
+ TOO LONG
307
+ TOO LONG
308
+ TOO LONG
309
+ TOO LONG
310
+ TOO LONG
311
+ TOO LONG
312
+ TOO LONG
313
+ TOO LONG
314
+ TOO LONG
315
+ TOO LONG
316
+ TOO LONG
317
+ TOO LONG
318
+ TOO LONG
319
+ TOO LONG
320
+ TOO LONG
321
+ TOO LONG
322
+ TOO LONG
323
+ TOO LONG
324
+ TOO LONG
325
+ TOO LONG
326
+ TOO LONG
327
+ TOO LONG
328
+ TOO LONG
329
+ TOO LONG
330
+ TOO LONG
331
+ TOO LONG
332
+ TOO LONG
333
+ TOO LONG
334
+ TOO LONG
335
+ TOO LONG
336
+ TOO LONG
337
+ TOO LONG
338
+ TOO LONG
339
+ TOO LONG
340
+ TOO LONG
341
+ TOO LONG
342
+ TOO LONG
343
+ TOO LONG
344
+ TOO LONG
345
+ TOO LONG
346
+ TOO LONG
347
+ TOO LONG
348
+ TOO LONG
349
+ TOO LONG
350
+ TOO LONG
351
+ TOO LONG
352
+ TOO LONG
353
+ TOO LONG
354
+ TOO LONG
355
+ TOO LONG
356
+ TOO LONG
357
+ TOO LONG
358
+ TOO LONG
359
+ TOO LONG
360
+ TOO LONG
361
+ TOO LONG
362
+ TOO LONG
363
+ TOO LONG
364
+ TOO LONG
365
+ TOO LONG
366
+ TOO LONG
367
+ TOO LONG
368
+ TOO LONG
369
+ TOO LONG
370
+ TOO LONG
371
+ TOO LONG
372
+ TOO LONG
373
+ TOO LONG
374
+ TOO LONG
375
+ TOO LONG
376
+ TOO LONG
377
+ TOO LONG
378
+ TOO LONG
379
+ TOO LONG
380
+ TOO LONG
381
+ TOO LONG
382
+ TOO LONG
383
+ TOO LONG
384
+ TOO LONG
385
+ TOO LONG
386
+ TOO LONG
387
+ TOO LONG
388
+ TOO LONG
389
+ TOO LONG
390
+ TOO LONG
391
+ TOO LONG
392
+ TOO LONG
393
+ TOO LONG
394
+ TOO LONG
395
+ TOO LONG
396
+ TOO LONG
397
+ TOO LONG
398
+ TOO LONG
399
+ TOO LONG
400
+ TOO LONG
401
+ TOO LONG
402
+ TOO LONG
403
+ TOO LONG
404
+ TOO LONG
405
+ TOO LONG
406
+ TOO LONG
407
+ TOO LONG
408
+ TOO LONG
409
+ TOO LONG
410
+ TOO LONG
411
+ TOO LONG
412
+ TOO LONG
413
+ TOO LONG
414
+ TOO LONG
415
+ TOO LONG
416
+ TOO LONG
417
+ TOO LONG
418
+ TOO LONG
419
+ TOO LONG
420
+ TOO LONG
421
+ TOO LONG
422
+ TOO LONG
423
+ TOO LONG
424
+ TOO LONG
425
+ TOO LONG
426
+ TOO LONG
427
+ TOO LONG
428
+ TOO LONG
429
+ TOO LONG
430
+ TOO LONG
431
+ TOO LONG
432
+ TOO LONG
433
+ TOO LONG
434
+ TOO LONG
435
+ TOO LONG
436
+ TOO LONG
437
+ TOO LONG
438
+ TOO LONG
439
+ TOO LONG
440
+ TOO LONG
441
+ TOO LONG
442
+ TOO LONG
443
+ TOO LONG
444
+ TOO LONG
445
+ TOO LONG
446
+ TOO LONG
447
+ TOO LONG
448
+ TOO LONG
449
+ TOO LONG
450
+ TOO LONG
451
+ TOO LONG
452
+ TOO LONG
453
+ TOO LONG
454
+ TOO LONG
455
+ TOO LONG
456
+ TOO LONG
457
+ TOO LONG
458
+ TOO LONG
459
+ TOO LONG
460
+ TOO LONG
461
+ TOO LONG
462
+ TOO LONG
463
+ TOO LONG
464
+ TOO LONG
465
+ TOO LONG
466
+ TOO LONG
467
+ TOO LONG
468
+ TOO LONG
469
+ TOO LONG
470
+ TOO LONG
471
+ TOO LONG
472
+ TOO LONG
473
+ TOO LONG
474
+ TOO LONG
475
+ TOO LONG
476
+ TOO LONG
477
+ TOO LONG
478
+ TOO LONG
479
+ TOO LONG
480
+ TOO LONG
481
+ TOO LONG
482
+ TOO LONG
483
+ TOO LONG
484
+ TOO LONG
485
+ TOO LONG
486
+ TOO LONG
487
+ TOO LONG
488
+ TOO LONG
489
+ TOO LONG
490
+ TOO LONG
491
+ TOO LONG
492
+ TOO LONG
493
+ TOO LONG
494
+ TOO LONG
495
+ TOO LONG
496
+ TOO LONG
497
+ TOO LONG
498
+ TOO LONG
499
+ TOO LONG
500
+ TOO LONG
501
+ TOO LONG
502
+ TOO LONG
503
+ TOO LONG
504
+ TOO LONG
run_logs/timers.json ADDED
@@ -0,0 +1,645 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "root",
3
+ "gauges": {
4
+ "SoccerTwos.Policy.Entropy.mean": {
5
+ "value": 3.1873979568481445,
6
+ "min": 3.1728250980377197,
7
+ "max": 3.295708417892456,
8
+ "count": 50
9
+ },
10
+ "SoccerTwos.Policy.Entropy.sum": {
11
+ "value": 57526.16015625,
12
+ "min": 30961.6640625,
13
+ "max": 107504.25,
14
+ "count": 50
15
+ },
16
+ "SoccerTwos.Environment.EpisodeLength.mean": {
17
+ "value": 816.5,
18
+ "min": 560.6666666666666,
19
+ "max": 999.0,
20
+ "count": 50
21
+ },
22
+ "SoccerTwos.Environment.EpisodeLength.sum": {
23
+ "value": 19596.0,
24
+ "min": 17056.0,
25
+ "max": 23368.0,
26
+ "count": 50
27
+ },
28
+ "SoccerTwos.Self-play.ELO.mean": {
29
+ "value": 1192.3587174163038,
30
+ "min": 1191.0308878925682,
31
+ "max": 1202.4368341516167,
32
+ "count": 47
33
+ },
34
+ "SoccerTwos.Self-play.ELO.sum": {
35
+ "value": 7154.152304497822,
36
+ "min": 2382.8598814013285,
37
+ "max": 14420.945116559482,
38
+ "count": 47
39
+ },
40
+ "SoccerTwos.Step.mean": {
41
+ "value": 499458.0,
42
+ "min": 9110.0,
43
+ "max": 499458.0,
44
+ "count": 50
45
+ },
46
+ "SoccerTwos.Step.sum": {
47
+ "value": 499458.0,
48
+ "min": 9110.0,
49
+ "max": 499458.0,
50
+ "count": 50
51
+ },
52
+ "SoccerTwos.Policy.ExtrinsicBaselineEstimate.mean": {
53
+ "value": -0.00793134793639183,
54
+ "min": -0.016387490555644035,
55
+ "max": 0.0031621349044144154,
56
+ "count": 50
57
+ },
58
+ "SoccerTwos.Policy.ExtrinsicBaselineEstimate.sum": {
59
+ "value": -0.09517617523670197,
60
+ "min": -0.25493931770324707,
61
+ "max": 0.050594158470630646,
62
+ "count": 50
63
+ },
64
+ "SoccerTwos.Policy.ExtrinsicValueEstimate.mean": {
65
+ "value": -0.008630179800093174,
66
+ "min": -0.016648078337311745,
67
+ "max": 0.007116901688277721,
68
+ "count": 50
69
+ },
70
+ "SoccerTwos.Policy.ExtrinsicValueEstimate.sum": {
71
+ "value": -0.10356216132640839,
72
+ "min": -0.2597835659980774,
73
+ "max": 0.11387042701244354,
74
+ "count": 50
75
+ },
76
+ "SoccerTwos.Environment.CumulativeReward.mean": {
77
+ "value": 0.0,
78
+ "min": 0.0,
79
+ "max": 0.0,
80
+ "count": 50
81
+ },
82
+ "SoccerTwos.Environment.CumulativeReward.sum": {
83
+ "value": 0.0,
84
+ "min": 0.0,
85
+ "max": 0.0,
86
+ "count": 50
87
+ },
88
+ "SoccerTwos.Policy.ExtrinsicReward.mean": {
89
+ "value": -0.05860000103712082,
90
+ "min": -0.5,
91
+ "max": 0.28485714324883055,
92
+ "count": 50
93
+ },
94
+ "SoccerTwos.Policy.ExtrinsicReward.sum": {
95
+ "value": -0.7032000124454498,
96
+ "min": -7.224799990653992,
97
+ "max": 3.9880000054836273,
98
+ "count": 50
99
+ },
100
+ "SoccerTwos.Environment.GroupCumulativeReward.mean": {
101
+ "value": -0.05860000103712082,
102
+ "min": -0.5,
103
+ "max": 0.28485714324883055,
104
+ "count": 50
105
+ },
106
+ "SoccerTwos.Environment.GroupCumulativeReward.sum": {
107
+ "value": -0.7032000124454498,
108
+ "min": -7.224799990653992,
109
+ "max": 3.9880000054836273,
110
+ "count": 50
111
+ },
112
+ "SoccerTwos.IsTraining.mean": {
113
+ "value": 1.0,
114
+ "min": 1.0,
115
+ "max": 1.0,
116
+ "count": 50
117
+ },
118
+ "SoccerTwos.IsTraining.sum": {
119
+ "value": 1.0,
120
+ "min": 1.0,
121
+ "max": 1.0,
122
+ "count": 50
123
+ },
124
+ "SoccerTwos.Losses.PolicyLoss.mean": {
125
+ "value": 0.017707642474366972,
126
+ "min": 0.013802281464450061,
127
+ "max": 0.02142580443372329,
128
+ "count": 23
129
+ },
130
+ "SoccerTwos.Losses.PolicyLoss.sum": {
131
+ "value": 0.017707642474366972,
132
+ "min": 0.013802281464450061,
133
+ "max": 0.02142580443372329,
134
+ "count": 23
135
+ },
136
+ "SoccerTwos.Losses.ValueLoss.mean": {
137
+ "value": 0.0025216950375276308,
138
+ "min": 0.0011128838455382113,
139
+ "max": 0.008037237869575619,
140
+ "count": 23
141
+ },
142
+ "SoccerTwos.Losses.ValueLoss.sum": {
143
+ "value": 0.0025216950375276308,
144
+ "min": 0.0011128838455382113,
145
+ "max": 0.008037237869575619,
146
+ "count": 23
147
+ },
148
+ "SoccerTwos.Losses.BaselineLoss.mean": {
149
+ "value": 0.0025201262130091586,
150
+ "min": 0.0011413079201399038,
151
+ "max": 0.008223687391728162,
152
+ "count": 23
153
+ },
154
+ "SoccerTwos.Losses.BaselineLoss.sum": {
155
+ "value": 0.0025201262130091586,
156
+ "min": 0.0011413079201399038,
157
+ "max": 0.008223687391728162,
158
+ "count": 23
159
+ },
160
+ "SoccerTwos.Policy.LearningRate.mean": {
161
+ "value": 0.0003,
162
+ "min": 0.0003,
163
+ "max": 0.0003,
164
+ "count": 23
165
+ },
166
+ "SoccerTwos.Policy.LearningRate.sum": {
167
+ "value": 0.0003,
168
+ "min": 0.0003,
169
+ "max": 0.0003,
170
+ "count": 23
171
+ },
172
+ "SoccerTwos.Policy.Epsilon.mean": {
173
+ "value": 0.20000000000000007,
174
+ "min": 0.20000000000000007,
175
+ "max": 0.20000000000000007,
176
+ "count": 23
177
+ },
178
+ "SoccerTwos.Policy.Epsilon.sum": {
179
+ "value": 0.20000000000000007,
180
+ "min": 0.20000000000000007,
181
+ "max": 0.20000000000000007,
182
+ "count": 23
183
+ },
184
+ "SoccerTwos.Policy.Beta.mean": {
185
+ "value": 0.005000000000000001,
186
+ "min": 0.005000000000000001,
187
+ "max": 0.005000000000000001,
188
+ "count": 23
189
+ },
190
+ "SoccerTwos.Policy.Beta.sum": {
191
+ "value": 0.005000000000000001,
192
+ "min": 0.005000000000000001,
193
+ "max": 0.005000000000000001,
194
+ "count": 23
195
+ }
196
+ },
197
+ "metadata": {
198
+ "timer_format_version": "0.1.0",
199
+ "start_time_seconds": "1682449346",
200
+ "python_version": "3.9.16 (main, Mar 8 2023, 14:00:05) \n[GCC 11.2.0]",
201
+ "command_line_arguments": "/home/andli/anaconda3/envs/rl/bin/mlagents-learn ./config/poca/SoccerTwos.yaml --env ./training-envs-executables/SoccerTwos/SoccerTwos.x86_64 --run-id=SoccerTwos --no-graphics --force",
202
+ "mlagents_version": "0.31.0.dev0",
203
+ "mlagents_envs_version": "0.31.0.dev0",
204
+ "communication_protocol_version": "1.5.0",
205
+ "pytorch_version": "2.0.0",
206
+ "numpy_version": "1.23.5",
207
+ "end_time_seconds": "1682450338"
208
+ },
209
+ "total": 992.2065903699986,
210
+ "count": 1,
211
+ "self": 0.27178171899868175,
212
+ "children": {
213
+ "run_training.setup": {
214
+ "total": 0.016655829997034743,
215
+ "count": 1,
216
+ "self": 0.016655829997034743
217
+ },
218
+ "TrainerController.start_learning": {
219
+ "total": 991.9181528210029,
220
+ "count": 1,
221
+ "self": 0.6353075472288765,
222
+ "children": {
223
+ "TrainerController._reset_env": {
224
+ "total": 4.473203421002836,
225
+ "count": 2,
226
+ "self": 4.473203421002836
227
+ },
228
+ "TrainerController.advance": {
229
+ "total": 986.6093693807707,
230
+ "count": 32622,
231
+ "self": 0.6931637955931365,
232
+ "children": {
233
+ "env_step": {
234
+ "total": 837.6290417866476,
235
+ "count": 32622,
236
+ "self": 581.9928294291967,
237
+ "children": {
238
+ "SubprocessEnvManager._take_step": {
239
+ "total": 255.21312677668902,
240
+ "count": 32623,
241
+ "self": 4.438195262606314,
242
+ "children": {
243
+ "TorchPolicy.evaluate": {
244
+ "total": 250.7749315140827,
245
+ "count": 64756,
246
+ "self": 250.7749315140827
247
+ }
248
+ }
249
+ },
250
+ "workers": {
251
+ "total": 0.42308558076183544,
252
+ "count": 32622,
253
+ "self": 0.0,
254
+ "children": {
255
+ "worker_root": {
256
+ "total": 1438.157817236497,
257
+ "count": 32622,
258
+ "is_parallel": true,
259
+ "self": 938.609099667563,
260
+ "children": {
261
+ "run_training.setup": {
262
+ "total": 0.016655829997034743,
263
+ "count": 1,
264
+ "is_parallel": true,
265
+ "self": 0.0,
266
+ "children": {
267
+ "steps_from_proto": {
268
+ "total": 0.0026012200032710098,
269
+ "count": 2,
270
+ "is_parallel": true,
271
+ "self": 0.0010692200012272224,
272
+ "children": {
273
+ "_process_rank_one_or_two_observation": {
274
+ "total": 0.0015320000020437874,
275
+ "count": 8,
276
+ "is_parallel": true,
277
+ "self": 0.0015320000020437874
278
+ }
279
+ }
280
+ },
281
+ "UnityEnvironment.step": {
282
+ "total": 0.02826742499746615,
283
+ "count": 1,
284
+ "is_parallel": true,
285
+ "self": 0.00042852100159507245,
286
+ "children": {
287
+ "UnityEnvironment._generate_step_input": {
288
+ "total": 0.0006458009956986643,
289
+ "count": 1,
290
+ "is_parallel": true,
291
+ "self": 0.0006458009956986643
292
+ },
293
+ "communicator.exchange": {
294
+ "total": 0.025965175998862833,
295
+ "count": 1,
296
+ "is_parallel": true,
297
+ "self": 0.025965175998862833
298
+ },
299
+ "steps_from_proto": {
300
+ "total": 0.001227927001309581,
301
+ "count": 2,
302
+ "is_parallel": true,
303
+ "self": 0.0003238050048821606,
304
+ "children": {
305
+ "_process_rank_one_or_two_observation": {
306
+ "total": 0.0009041219964274205,
307
+ "count": 8,
308
+ "is_parallel": true,
309
+ "self": 0.0009041219964274205
310
+ }
311
+ }
312
+ }
313
+ }
314
+ }
315
+ }
316
+ },
317
+ "UnityEnvironment.step": {
318
+ "total": 499.53077647693135,
319
+ "count": 32620,
320
+ "is_parallel": true,
321
+ "self": 16.15936874091858,
322
+ "children": {
323
+ "UnityEnvironment._generate_step_input": {
324
+ "total": 9.002877671213355,
325
+ "count": 32620,
326
+ "is_parallel": true,
327
+ "self": 9.002877671213355
328
+ },
329
+ "communicator.exchange": {
330
+ "total": 432.36633525812067,
331
+ "count": 32620,
332
+ "is_parallel": true,
333
+ "self": 432.36633525812067
334
+ },
335
+ "steps_from_proto": {
336
+ "total": 42.002194806678744,
337
+ "count": 65240,
338
+ "is_parallel": true,
339
+ "self": 7.5107158150131,
340
+ "children": {
341
+ "_process_rank_one_or_two_observation": {
342
+ "total": 34.491478991665645,
343
+ "count": 260960,
344
+ "is_parallel": true,
345
+ "self": 34.491478991665645
346
+ }
347
+ }
348
+ }
349
+ }
350
+ },
351
+ "TrainerController.start_learning": {
352
+ "total": 0.0,
353
+ "count": 0,
354
+ "is_parallel": true,
355
+ "self": 0.0,
356
+ "children": {
357
+ "TrainerController._reset_env": {
358
+ "total": 4.42959533600515,
359
+ "count": 1,
360
+ "is_parallel": true,
361
+ "self": 4.42959533600515
362
+ },
363
+ "TrainerController.advance": {
364
+ "total": 443.9592866794337,
365
+ "count": 14916,
366
+ "is_parallel": true,
367
+ "self": 0.3228173833922483,
368
+ "children": {
369
+ "env_step": {
370
+ "total": 377.32979089916626,
371
+ "count": 14916,
372
+ "is_parallel": true,
373
+ "self": 259.52726580218587,
374
+ "children": {
375
+ "SubprocessEnvManager._take_step": {
376
+ "total": 117.55791705162119,
377
+ "count": 14917,
378
+ "is_parallel": true,
379
+ "self": 1.9561094219025108,
380
+ "children": {
381
+ "TorchPolicy.evaluate": {
382
+ "total": 115.60180762971868,
383
+ "count": 29594,
384
+ "is_parallel": true,
385
+ "self": 115.60180762971868
386
+ }
387
+ }
388
+ },
389
+ "workers": {
390
+ "total": 0.19879301536275307,
391
+ "count": 14916,
392
+ "is_parallel": true,
393
+ "self": 0.0,
394
+ "children": {
395
+ "worker_root": {
396
+ "total": 447.9435362132863,
397
+ "count": 14916,
398
+ "is_parallel": true,
399
+ "self": 221.02938624387752,
400
+ "children": {
401
+ "run_training.setup": {
402
+ "total": 0.0,
403
+ "count": 0,
404
+ "is_parallel": true,
405
+ "self": 0.0,
406
+ "children": {
407
+ "steps_from_proto": {
408
+ "total": 0.0026012200032710098,
409
+ "count": 2,
410
+ "is_parallel": true,
411
+ "self": 0.0010692200012272224,
412
+ "children": {
413
+ "_process_rank_one_or_two_observation": {
414
+ "total": 0.0015320000020437874,
415
+ "count": 8,
416
+ "is_parallel": true,
417
+ "self": 0.0015320000020437874
418
+ }
419
+ }
420
+ },
421
+ "UnityEnvironment.step": {
422
+ "total": 0.02826742499746615,
423
+ "count": 1,
424
+ "is_parallel": true,
425
+ "self": 0.00042852100159507245,
426
+ "children": {
427
+ "UnityEnvironment._generate_step_input": {
428
+ "total": 0.0006458009956986643,
429
+ "count": 1,
430
+ "is_parallel": true,
431
+ "self": 0.0006458009956986643
432
+ },
433
+ "communicator.exchange": {
434
+ "total": 0.025965175998862833,
435
+ "count": 1,
436
+ "is_parallel": true,
437
+ "self": 0.025965175998862833
438
+ },
439
+ "steps_from_proto": {
440
+ "total": 0.001227927001309581,
441
+ "count": 2,
442
+ "is_parallel": true,
443
+ "self": 0.0003238050048821606,
444
+ "children": {
445
+ "_process_rank_one_or_two_observation": {
446
+ "total": 0.0009041219964274205,
447
+ "count": 8,
448
+ "is_parallel": true,
449
+ "self": 0.0009041219964274205
450
+ }
451
+ }
452
+ }
453
+ }
454
+ }
455
+ }
456
+ },
457
+ "UnityEnvironment.step": {
458
+ "total": 226.91414996940875,
459
+ "count": 14915,
460
+ "is_parallel": true,
461
+ "self": 6.590423248504521,
462
+ "children": {
463
+ "UnityEnvironment._generate_step_input": {
464
+ "total": 4.108408612875792,
465
+ "count": 14915,
466
+ "is_parallel": true,
467
+ "self": 4.108408612875792
468
+ },
469
+ "communicator.exchange": {
470
+ "total": 199.00071949482663,
471
+ "count": 14915,
472
+ "is_parallel": true,
473
+ "self": 199.00071949482663
474
+ },
475
+ "steps_from_proto": {
476
+ "total": 17.214598613201815,
477
+ "count": 29830,
478
+ "is_parallel": true,
479
+ "self": 3.291406378339161,
480
+ "children": {
481
+ "_process_rank_one_or_two_observation": {
482
+ "total": 13.923192234862654,
483
+ "count": 119320,
484
+ "is_parallel": true,
485
+ "self": 13.923192234862654
486
+ }
487
+ }
488
+ }
489
+ }
490
+ }
491
+ }
492
+ }
493
+ }
494
+ },
495
+ "steps_from_proto": {
496
+ "total": 0.01207468900247477,
497
+ "count": 2,
498
+ "is_parallel": true,
499
+ "self": 0.004028269002446905,
500
+ "children": {
501
+ "_process_rank_one_or_two_observation": {
502
+ "total": 0.008046420000027865,
503
+ "count": 8,
504
+ "is_parallel": true,
505
+ "self": 0.008046420000027865
506
+ }
507
+ }
508
+ },
509
+ "UnityEnvironment.step": {
510
+ "total": 0.033740340993972495,
511
+ "count": 1,
512
+ "is_parallel": true,
513
+ "self": 0.0010504120000405237,
514
+ "children": {
515
+ "UnityEnvironment._generate_step_input": {
516
+ "total": 0.0005335399982868694,
517
+ "count": 1,
518
+ "is_parallel": true,
519
+ "self": 0.0005335399982868694
520
+ },
521
+ "communicator.exchange": {
522
+ "total": 0.029926046001492068,
523
+ "count": 1,
524
+ "is_parallel": true,
525
+ "self": 0.029926046001492068
526
+ },
527
+ "steps_from_proto": {
528
+ "total": 0.002230342994153034,
529
+ "count": 2,
530
+ "is_parallel": true,
531
+ "self": 0.000494213993079029,
532
+ "children": {
533
+ "_process_rank_one_or_two_observation": {
534
+ "total": 0.001736129001074005,
535
+ "count": 8,
536
+ "is_parallel": true,
537
+ "self": 0.001736129001074005
538
+ }
539
+ }
540
+ }
541
+ }
542
+ }
543
+ }
544
+ },
545
+ "trainer_advance": {
546
+ "total": 66.30667839687521,
547
+ "count": 14916,
548
+ "is_parallel": true,
549
+ "self": 2.239441995639936,
550
+ "children": {
551
+ "process_trajectory": {
552
+ "total": 25.574510492238915,
553
+ "count": 14916,
554
+ "is_parallel": true,
555
+ "self": 25.574510492238915
556
+ },
557
+ "_update_policy": {
558
+ "total": 38.49272590899636,
559
+ "count": 10,
560
+ "is_parallel": true,
561
+ "self": 18.453743756064796,
562
+ "children": {
563
+ "TorchPOCAOptimizer.update": {
564
+ "total": 20.038982152931567,
565
+ "count": 300,
566
+ "is_parallel": true,
567
+ "self": 20.038982152931567
568
+ }
569
+ }
570
+ }
571
+ }
572
+ }
573
+ }
574
+ }
575
+ }
576
+ },
577
+ "steps_from_proto": {
578
+ "total": 0.0012852620056946762,
579
+ "count": 2,
580
+ "is_parallel": true,
581
+ "self": 0.00021485600154846907,
582
+ "children": {
583
+ "_process_rank_one_or_two_observation": {
584
+ "total": 0.0010704060041462071,
585
+ "count": 8,
586
+ "is_parallel": true,
587
+ "self": 0.0010704060041462071
588
+ }
589
+ }
590
+ }
591
+ }
592
+ }
593
+ }
594
+ }
595
+ }
596
+ },
597
+ "trainer_advance": {
598
+ "total": 148.28716379852995,
599
+ "count": 32622,
600
+ "self": 5.132160021661548,
601
+ "children": {
602
+ "process_trajectory": {
603
+ "total": 54.26002015788981,
604
+ "count": 32622,
605
+ "self": 53.70823806589033,
606
+ "children": {
607
+ "RLTrainer._checkpoint": {
608
+ "total": 0.5517820919994847,
609
+ "count": 1,
610
+ "self": 0.5517820919994847
611
+ }
612
+ }
613
+ },
614
+ "_update_policy": {
615
+ "total": 88.89498361897859,
616
+ "count": 23,
617
+ "self": 42.88218366205547,
618
+ "children": {
619
+ "TorchPOCAOptimizer.update": {
620
+ "total": 46.01279995692312,
621
+ "count": 690,
622
+ "self": 46.01279995692312
623
+ }
624
+ }
625
+ }
626
+ }
627
+ }
628
+ }
629
+ },
630
+ "TrainerController._save_models": {
631
+ "total": 0.20027247200050624,
632
+ "count": 1,
633
+ "self": 3.827600448857993e-05,
634
+ "children": {
635
+ "RLTrainer._checkpoint": {
636
+ "total": 0.20023419599601766,
637
+ "count": 1,
638
+ "self": 0.20023419599601766
639
+ }
640
+ }
641
+ }
642
+ }
643
+ }
644
+ }
645
+ }
run_logs/training_status.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "SoccerTwos": {
3
+ "elo": 1192.3587174163035
4
+ },
5
+ "metadata": {
6
+ "stats_format_version": "0.3.0",
7
+ "mlagents_version": "0.31.0.dev0",
8
+ "torch_version": "2.0.0"
9
+ }
10
+ }