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README.md

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+---
+tags:
+- LunarLander-v2
+- reinforce
+- reinforcement-learning
+- custom-implementation
+- deep-rl-class
+model-index:
+- name: deep-rl-lunarLander-reinforce-policy-grad
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: LunarLander-v2
+      type: LunarLander-v2
+    metrics:
+    - type: mean_reward
+      value: -44.56 +/- 39.20
+      name: mean_reward
+      verified: false
+---
+
+  # **Reinforce** Agent playing **LunarLander-v2**
+  This is a trained model of a **Reinforce** agent playing **LunarLander-v2** .
+  To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
+  

hyperparameters.json

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+{"h_size": 64, "n_training_episodes": 2000, "n_evaluation_episodes": 10, "max_t": 10000, "gamma": 0.99, "lr": 0.0001, "env_id": "LunarLander-v2", "state_space": 8, "action_space": 4}

model.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:50629b04dbf797f7475241ee675e204d7003fa62a561f77fd92b73750e2d53a9
+size 41140

results.json

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+{"env_id": "LunarLander-v2", "mean_reward": -44.56261702415209, "n_evaluation_episodes": 10, "eval_datetime": "2023-12-14T09:14:14.460782"}