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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: -157.06 +/- 48.98
+      name: mean_reward
+      verified: false
+---
+
+  # PPO Agent Playing LunarLander-v2
+
+  This is a trained model of a PPO agent playing LunarLander-v2.
+
+  # Hyperparameters
+  ```python
+  {'env_id': 'LunarLander-v2'
+'n_envs': 8
+'n_steps': 128
+'epochs': 4
+'lr': 1e-05
+'gamma': 0.99
+'n_minibatches': 4
+'batch_size': 1024
+'minibatch_size': 256
+'total_timesteps': 10000000
+'n_iterations': 9765
+'norm_adv': True
+'epsilon': 0.2
+'clip_vloss': True
+'vf_coef': 0.5
+'ent_coef': 0.01}
+  ```
+  

model.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:534469ed5c66edc91837d02c1c71b8c113e1a553d94ec65c0bba6188d658a282
+size 43026

results.json

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+{"env_id": "LunarLander-v2", "mean_reward": -157.0630846276324, "std_reward": 48.97622615174014, "n_evaluation_episodes": 10, "eval_datetime": "2024-01-24T15:34:36.373113"}