Push Reinforce agent to the Hub

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+tags:
+- CartPole-v1
+- reinforce
+- reinforcement-learning
+- custom-implementation
+- deep-rl-class
+model-index:
+- name: molot
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: CartPole-v1
+      type: CartPole-v1
+    metrics:
+    - type: mean_reward
+      value: 87.80 +/- 21.08
+      name: mean_reward
+      verified: false
+---
+
+  # **Reinforce** Agent playing **CartPole-v1**
+  This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
+  To learn to use this model and train yours check Unit 5 of the Deep Reinforcement Learning Class: https://github.com/huggingface/deep-rl-class/tree/main/unit5
+  

hyperparameters.json

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+{"h_size": 32, "n_training_episodes": 10000, "n_evaluation_episodes": 10, "max_t": 1000, "gamma": 1.0, "lr": 0.01, "env_id": "CartPole-v1", "state_space": 4, "action_space": 2}

model.pt

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+oid sha256:54177e6a069f85136bddbdf36707ae7d6d8cc75d21512d315f047cbd59226270
+size 3039

replay.mp4

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+oid sha256:1312991b557b4d506f704a1047afcd667f31f0e6d10d58f626d4e5b6ad452cc2
+size 9744

results.json

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+{"env_id": "CartPole-v1", "mean_reward": 87.8, "n_evaluation_episodes": 10, "eval_datetime": "2022-12-03T12:46:22.738706"}