Clone from utyug1/ppo-LunarLander-v2

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README.md

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+---
+tags:
+- LunarLander-v2
+- ppo
+- deep-reinforcement-learning
+- reinforcement-learning
+- custom-implementation
+- deep-rl-course
+model-index:
+- name: PPO
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: LunarLander-v2
+      type: LunarLander-v2
+    metrics:
+    - type: mean_reward
+      value: 271.06 +/- 21.00
+      name: mean_reward
+      verified: false
+---
+
+    # PPO Agent Playing LunarLander-v2
+
+    This is a trained model of a PPO agent playing LunarLander-v2.
+        
+    # Hyperparameters
+    ```python
+    {'exp_name': 'ppo'
+'seed': 1
+'torch_deterministic': True
+'cuda': True
+'track': False
+'wandb_project_name': 'cleanRL'
+'wandb_entity': None
+'capture_video': False
+'env_id': 'LunarLander-v2'
+'total_timesteps': 5000000
+'learning_rate': 0.001
+'num_envs': 32
+'num_steps': 512
+'anneal_lr': True
+'gae': True
+'gamma': 0.999
+'gae_lambda': 0.97
+'num_minibatches': 128
+'update_epochs': 4
+'norm_adv': True
+'clip_coef': 0.2
+'clip_vloss': True
+'ent_coef': 0.01
+'vf_coef': 0.5
+'max_grad_norm': 0.5
+'target_kl': None
+'repo_id': 'utyug1/ppo-LunarLander-v2'
+'batch_size': 16384
+'minibatch_size': 128}
+    ```
+    

config.json

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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: Features extractor to use.\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 ActorCriticPolicy.__init__ at 0x7f068e590790>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f068e590820>", "reset_noise": 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ppo-LunarLander-v2/system_info.txt

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results.json

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