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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: -30.85 +/- 140.48
+      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': 'debug'
+'gym_id': 'LunarLander-v2'
+'hface_repo': 'EExe/my_ppo_LunarLand'
+'learning_rate': 0.00025
+'seed': 42
+'total_timesteps': 2000000
+'num_envs': 4
+'num_steps': 1024
+'gamma': 0.999
+'gae_lambda': 0.98
+'num_minibatches': 64
+'num_epochs': 10
+'clip_coeff': 0.2
+'ent_coeff': 0.1
+'vf_coeff': 0.1
+'max_gradient_norm': 0.5
+'target_kl': 0.015}
+  ```
+  

model.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2b7856347b1c07286d1e5b2e4909665095c159c9c5597460cf610b1eb5540b0b
+size 42469

results.json

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+{"env_id": "LunarLander-v2", "mean_reward": -30.8522940092762, "std_reward": 140.48493610090986, "n_evaluation_episodes": 10, "eval_datetime": "2023-05-05T19:25:25.987119"}