haidlir commited on
Commit
f63d5d0
1 Parent(s): 1775df4

Initial commit

Browse files
README.md CHANGED
@@ -16,7 +16,7 @@ model-index:
16
  type: PandaReachDense-v2
17
  metrics:
18
  - type: mean_reward
19
- value: -4.36 +/- 1.11
20
  name: mean_reward
21
  verified: false
22
  ---
 
16
  type: PandaReachDense-v2
17
  metrics:
18
  - type: mean_reward
19
+ value: -2.39 +/- 0.34
20
  name: mean_reward
21
  verified: false
22
  ---
a2c-PandaReachDense-v2.zip CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:585c553b01a55cdc5298e656749f352f79c59f958db927725d962bb3f0c1d6a0
3
- size 108028
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c4128ba68f29520179b426426d813dd5db8285c9b0016e1ac14213df5de6892
3
+ size 108026
a2c-PandaReachDense-v2/data CHANGED
@@ -41,12 +41,12 @@
41
  "_np_random": null
42
  },
43
  "n_envs": 4,
44
- "num_timesteps": 1000000,
45
- "_total_timesteps": 1000000,
46
  "_num_timesteps_at_start": 0,
47
  "seed": null,
48
  "action_noise": null,
49
- "start_time": 1679727210672947308,
50
  "learning_rate": 0.0007,
51
  "tensorboard_log": null,
52
  "lr_schedule": {
@@ -55,10 +55,10 @@
55
  },
56
  "_last_obs": {
57
  ":type:": "<class 'collections.OrderedDict'>",
58
- ":serialized:": "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",
59
- "achieved_goal": "[[ 0.4397157 -0.03445169 0.5541141 ]\n [ 0.4397157 -0.03445169 0.5541141 ]\n [ 0.4397157 -0.03445169 0.5541141 ]\n [ 0.4397157 -0.03445169 0.5541141 ]]",
60
- "desired_goal": "[[-1.4667691 -0.47192308 -1.3458648 ]\n [-1.1703566 0.6164589 1.338178 ]\n [ 0.0489106 -1.7148186 1.1509286 ]\n [ 1.0105245 -0.19332975 -0.02812538]]",
61
- "observation": "[[ 0.4397157 -0.03445169 0.5541141 0.01167906 -0.00317711 0.0081434 ]\n [ 0.4397157 -0.03445169 0.5541141 0.01167906 -0.00317711 0.0081434 ]\n [ 0.4397157 -0.03445169 0.5541141 0.01167906 -0.00317711 0.0081434 ]\n [ 0.4397157 -0.03445169 0.5541141 0.01167906 -0.00317711 0.0081434 ]]"
62
  },
63
  "_last_episode_starts": {
64
  ":type:": "<class 'numpy.ndarray'>",
@@ -77,13 +77,13 @@
77
  "_current_progress_remaining": 0.0,
78
  "ep_info_buffer": {
79
  ":type:": "<class 'collections.deque'>",
80
- ":serialized:": "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"
81
  },
82
  "ep_success_buffer": {
83
  ":type:": "<class 'collections.deque'>",
84
  ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
85
  },
86
- "_n_updates": 50000,
87
  "n_steps": 5,
88
  "gamma": 0.99,
89
  "gae_lambda": 1.0,
 
41
  "_np_random": null
42
  },
43
  "n_envs": 4,
44
+ "num_timesteps": 100000,
45
+ "_total_timesteps": 100000,
46
  "_num_timesteps_at_start": 0,
47
  "seed": null,
48
  "action_noise": null,
49
+ "start_time": 1679732146305538303,
50
  "learning_rate": 0.0007,
51
  "tensorboard_log": null,
52
  "lr_schedule": {
 
55
  },
56
  "_last_obs": {
57
  ":type:": "<class 'collections.OrderedDict'>",
58
+ ":serialized:": "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",
59
+ "achieved_goal": "[[ 0.4476318 -0.02794392 0.5667025 ]\n [ 0.4476318 -0.02794392 0.5667025 ]\n [ 0.4476318 -0.02794392 0.5667025 ]\n [ 0.4476318 -0.02794392 0.5667025 ]]",
60
+ "desired_goal": "[[-1.5417405 1.4981818 -1.6923717 ]\n [ 0.70313746 0.30285376 -1.0390633 ]\n [ 0.21674962 0.19882609 0.91713995]\n [ 1.7077177 0.69666725 0.13343506]]",
61
+ "observation": "[[ 0.4476318 -0.02794392 0.5667025 0.01253256 -0.00214648 0.01135417]\n [ 0.4476318 -0.02794392 0.5667025 0.01253256 -0.00214648 0.01135417]\n [ 0.4476318 -0.02794392 0.5667025 0.01253256 -0.00214648 0.01135417]\n [ 0.4476318 -0.02794392 0.5667025 0.01253256 -0.00214648 0.01135417]]"
62
  },
63
  "_last_episode_starts": {
64
  ":type:": "<class 'numpy.ndarray'>",
 
77
  "_current_progress_remaining": 0.0,
78
  "ep_info_buffer": {
79
  ":type:": "<class 'collections.deque'>",
80
+ ":serialized:": "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"
81
  },
82
  "ep_success_buffer": {
83
  ":type:": "<class 'collections.deque'>",
84
  ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
85
  },
86
+ "_n_updates": 55000,
87
  "n_steps": 5,
88
  "gamma": 0.99,
89
  "gae_lambda": 1.0,
a2c-PandaReachDense-v2/policy.optimizer.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c2d5377386b7bddce4bcb11d0fd448986633c9af909067df316898947126bea9
3
  size 44734
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4c063aafd20b19b51d3819f7167798a9175292255a7d73b1c86d9087274a6077
3
  size 44734
a2c-PandaReachDense-v2/policy.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:89020f1009b2cbdbe41acf5a6f32028d6c56e53fe029ed262729b85f392407e7
3
  size 46014
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:88cc0f241fac2b72f29ff41c5c3707c4a0079a6be00283ebdbb3df211ed9b2e3
3
  size 46014
config.json CHANGED
@@ -1 +1 @@
1
- {"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVRQAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMG011bHRpSW5wdXRBY3RvckNyaXRpY1BvbGljeZSTlC4=", "__module__": "stable_baselines3.common.policies", "__doc__": "\n MultiInputActorClass policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\n\n :param observation_space: Observation space (Tuple)\n :param action_space: Action space\n :param lr_schedule: Learning rate schedule (could be constant)\n :param net_arch: The specification of the policy and value networks.\n :param activation_fn: Activation function\n :param ortho_init: Whether to use or not orthogonal initialization\n :param use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n :param squash_output: Whether to squash the output using a tanh function,\n this allows to ensure boundaries when using gSDE.\n :param features_extractor_class: Uses the CombinedExtractor\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param share_features_extractor: If True, the features extractor is shared between the policy and value networks.\n :param normalize_images: Whether to normalize images or not,\n dividing by 255.0 (True by default)\n :param optimizer_class: The optimizer to use,\n ``th.optim.Adam`` by default\n :param optimizer_kwargs: Additional keyword arguments,\n excluding the learning rate, to pass to the optimizer\n ", "__init__": "<function MultiInputActorCriticPolicy.__init__ at 0x7f57430b6ca0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f57430b5f80>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gAWVgQAAAAAAAAB9lCiMD29wdGltaXplcl9jbGFzc5SME3RvcmNoLm9wdGltLnJtc3Byb3CUjAdSTVNwcm9wlJOUjBBvcHRpbWl6ZXJfa3dhcmdzlH2UKIwFYWxwaGGURz/vrhR64UeujANlcHOURz7k+LWI42jxjAx3ZWlnaHRfZGVjYXmUSwB1dS4=", "optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>", "optimizer_kwargs": {"alpha": 0.99, "eps": 1e-05, "weight_decay": 0}}, "observation_space": {":type:": "<class 'gym.spaces.dict.Dict'>", ":serialized:": "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", "spaces": "OrderedDict([('achieved_goal', Box([-10. -10. -10.], [10. 10. 10.], (3,), float32)), ('desired_goal', Box([-10. -10. -10.], [10. 10. 10.], (3,), float32)), ('observation', Box([-10. -10. -10. -10. -10. -10.], [10. 10. 10. 10. 10. 10.], (6,), float32))])", "_shape": null, "dtype": null, "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [3], "low": "[-1. -1. -1.]", "high": "[1. 1. 1.]", "bounded_below": "[ True True True]", "bounded_above": "[ True True True]", "_np_random": null}, "n_envs": 4, "num_timesteps": 1000000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1679727210672947308, "learning_rate": 0.0007, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAAayLhPjYdDb1s2g0/ayLhPjYdDb1s2g0/ayLhPjYdDb1s2g0/ayLhPjYdDb1s2g0/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAF7+7v+ef8b5MRay/P86Vv0DQHT9rSas/elZIPS1/27+hUZM/3liBPzz4Rb4wZ+a8lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAABrIuE+Nh0NvWzaDT+FWT88EDdQu+prBTxrIuE+Nh0NvWzaDT+FWT88EDdQu+prBTxrIuE+Nh0NvWzaDT+FWT88EDdQu+prBTxrIuE+Nh0NvWzaDT+FWT88EDdQu+prBTyUaA5LBEsGhpRoEnSUUpR1Lg==", "achieved_goal": "[[ 0.4397157 -0.03445169 0.5541141 ]\n [ 0.4397157 -0.03445169 0.5541141 ]\n [ 0.4397157 -0.03445169 0.5541141 ]\n [ 0.4397157 -0.03445169 0.5541141 ]]", "desired_goal": "[[-1.4667691 -0.47192308 -1.3458648 ]\n [-1.1703566 0.6164589 1.338178 ]\n [ 0.0489106 -1.7148186 1.1509286 ]\n [ 1.0105245 -0.19332975 -0.02812538]]", "observation": "[[ 0.4397157 -0.03445169 0.5541141 0.01167906 -0.00317711 0.0081434 ]\n [ 0.4397157 -0.03445169 0.5541141 0.01167906 -0.00317711 0.0081434 ]\n [ 0.4397157 -0.03445169 0.5541141 0.01167906 -0.00317711 0.0081434 ]\n [ 0.4397157 -0.03445169 0.5541141 0.01167906 -0.00317711 0.0081434 ]]"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]]", "desired_goal": "[[-0.04608397 0.12921217 0.27037314]\n [-0.14028366 -0.08364422 0.2580196 ]\n [ 0.1440783 0.04234232 0.19997185]\n [ 0.04090077 -0.02098858 0.05923111]]", "observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]]"}, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": 0.0, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 50000, "n_steps": 5, "gamma": 0.99, "gae_lambda": 1.0, "ent_coef": 0.0, "vf_coef": 0.5, "max_grad_norm": 0.5, "normalize_advantage": false, "system_info": {"OS": "Linux-5.10.147+-x86_64-with-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.9.16", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}
 
1
+ {"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVRQAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMG011bHRpSW5wdXRBY3RvckNyaXRpY1BvbGljeZSTlC4=", "__module__": "stable_baselines3.common.policies", "__doc__": "\n MultiInputActorClass policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\n\n :param observation_space: Observation space (Tuple)\n :param action_space: Action space\n :param lr_schedule: Learning rate schedule (could be constant)\n :param net_arch: The specification of the policy and value networks.\n :param activation_fn: Activation function\n :param ortho_init: Whether to use or not orthogonal initialization\n :param use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n :param squash_output: Whether to squash the output using a tanh function,\n this allows to ensure boundaries when using gSDE.\n :param features_extractor_class: Uses the CombinedExtractor\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param share_features_extractor: If True, the features extractor is shared between the policy and value networks.\n :param normalize_images: Whether to normalize images or not,\n dividing by 255.0 (True by default)\n :param optimizer_class: The optimizer to use,\n ``th.optim.Adam`` by default\n :param optimizer_kwargs: Additional keyword arguments,\n excluding the learning rate, to pass to the optimizer\n ", "__init__": "<function MultiInputActorCriticPolicy.__init__ at 0x7f57430b6ca0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f57430b5f80>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gAWVgQAAAAAAAAB9lCiMD29wdGltaXplcl9jbGFzc5SME3RvcmNoLm9wdGltLnJtc3Byb3CUjAdSTVNwcm9wlJOUjBBvcHRpbWl6ZXJfa3dhcmdzlH2UKIwFYWxwaGGURz/vrhR64UeujANlcHOURz7k+LWI42jxjAx3ZWlnaHRfZGVjYXmUSwB1dS4=", "optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>", "optimizer_kwargs": {"alpha": 0.99, "eps": 1e-05, "weight_decay": 0}}, "observation_space": {":type:": "<class 'gym.spaces.dict.Dict'>", ":serialized:": "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", "spaces": "OrderedDict([('achieved_goal', Box([-10. -10. -10.], [10. 10. 10.], (3,), float32)), ('desired_goal', Box([-10. -10. -10.], [10. 10. 10.], (3,), float32)), ('observation', Box([-10. -10. -10. -10. -10. -10.], [10. 10. 10. 10. 10. 10.], (6,), float32))])", "_shape": null, "dtype": null, "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [3], "low": "[-1. -1. -1.]", "high": "[1. 1. 1.]", "bounded_below": "[ True True True]", "bounded_above": "[ True True True]", "_np_random": null}, "n_envs": 4, "num_timesteps": 100000, "_total_timesteps": 100000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1679732146305538303, "learning_rate": 0.0007, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[ 0.4476318 -0.02794392 0.5667025 ]\n [ 0.4476318 -0.02794392 0.5667025 ]\n [ 0.4476318 -0.02794392 0.5667025 ]\n [ 0.4476318 -0.02794392 0.5667025 ]]", "desired_goal": "[[-1.5417405 1.4981818 -1.6923717 ]\n [ 0.70313746 0.30285376 -1.0390633 ]\n [ 0.21674962 0.19882609 0.91713995]\n [ 1.7077177 0.69666725 0.13343506]]", "observation": "[[ 0.4476318 -0.02794392 0.5667025 0.01253256 -0.00214648 0.01135417]\n [ 0.4476318 -0.02794392 0.5667025 0.01253256 -0.00214648 0.01135417]\n [ 0.4476318 -0.02794392 0.5667025 0.01253256 -0.00214648 0.01135417]\n [ 0.4476318 -0.02794392 0.5667025 0.01253256 -0.00214648 0.01135417]]"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]]", "desired_goal": "[[-0.04608397 0.12921217 0.27037314]\n [-0.14028366 -0.08364422 0.2580196 ]\n [ 0.1440783 0.04234232 0.19997185]\n [ 0.04090077 -0.02098858 0.05923111]]", "observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]]"}, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": 0.0, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 55000, "n_steps": 5, "gamma": 0.99, "gae_lambda": 1.0, "ent_coef": 0.0, "vf_coef": 0.5, "max_grad_norm": 0.5, "normalize_advantage": false, "system_info": {"OS": "Linux-5.10.147+-x86_64-with-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.9.16", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}
replay.mp4 CHANGED
Binary files a/replay.mp4 and b/replay.mp4 differ
 
results.json CHANGED
@@ -1 +1 @@
1
- {"mean_reward": -4.363050941377878, "std_reward": 1.108886982271922, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-25T07:43:46.196513"}
 
1
+ {"mean_reward": -2.3938424473628404, "std_reward": 0.33518486028806593, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-25T08:20:31.412826"}
vec_normalize.pkl CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:bfb9f895518069118e5bf04bc08d6d557ce0a9c04c1c41553c3ee0da6e93dfc5
3
  size 3056
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:149f73dbb13bed751fc3577e2ac48d9734fa016e87726216cb0659e0c6af18a2
3
  size 3056