Initial commit

.gitattributes

@@ -25,3 +25,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+vec_normalize.pkl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,57 @@
+---
+library_name: stable-baselines3
+tags:
+- Ant-v3
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: A2C
+  results:
+  - metrics:
+    - type: mean_reward
+      value: -15.93 +/- 6.74
+      name: mean_reward
+    task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: Ant-v3
+      type: Ant-v3
+---
+
+# **A2C** Agent playing **Ant-v3**
+This is a trained model of a **A2C** agent playing **Ant-v3**
+using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
+and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
+
+The RL Zoo is a training framework for Stable Baselines3
+reinforcement learning agents,
+with hyperparameter optimization and pre-trained agents included.
+
+## Usage (with SB3 RL Zoo)
+
+RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
+SB3: https://github.com/DLR-RM/stable-baselines3<br/>
+SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
+
+```
+# Download model and save it into the logs/ folder
+python -m utils.load_from_hub --algo a2c --env Ant-v3 -orga sb3 -f logs/
+python enjoy.py --algo a2c --env Ant-v3  -f logs/
+```
+
+## Training (with the RL Zoo)
+```
+python train.py --algo a2c --env Ant-v3 -f logs/
+# Upload the model and generate video (when possible)
+python -m utils.push_to_hub --algo a2c --env Ant-v3 -f logs/ -orga sb3
+```
+
+## Hyperparameters
+```python
+OrderedDict([('n_timesteps', 1000000.0),
+             ('normalize', True),
+             ('policy', 'MlpPolicy'),
+             ('normalize_kwargs', {'norm_obs': True, 'norm_reward': False})])
+```

a2c-Ant-v3.zip

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+oid sha256:f57e49abb48b8dc58c39c92392e28e401d5a87973b33feadcf21946317492f6a
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a2c-Ant-v3/_stable_baselines3_version

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+1.5.1a8

a2c-Ant-v3/data

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+        "__module__": "stable_baselines3.common.policies",
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+Stable-Baselines3: 1.5.1a8
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+Numpy: 1.21.6
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args.yml

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+- - - algo
+    - a2c
+  - - device
+    - auto
+  - - env
+    - Ant-v3
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+    - null
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+    - 1
+  - - n_evaluations
+    - null
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+  - - n_startup_trials
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+  - - uuid
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+  - - vec_env
+    - dummy
+  - - verbose
+    - 1
+  - - wandb_entity
+    - null
+  - - wandb_project_name
+    - sb3

config.yml

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+!!python/object/apply:collections.OrderedDict
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+  - - normalize
+    - true
+  - - policy
+    - MlpPolicy

env_kwargs.yml

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replay.mp4

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