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:
+- FrozenLake-v1-8x8-no_slippery
+- reinforce
+- reinforcement-learning
+- custom-implementation
+- deep-rl-class
+model-index:
+- name: Reinforce-FrozenLake-v1
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: FrozenLake-v1-8x8-no_slippery
+      type: FrozenLake-v1-8x8-no_slippery
+    metrics:
+    - type: mean_reward
+      value: 0.96 +/- 0.20
+      name: mean_reward
+      verified: false
+---
+
+  # **Reinforce** Agent playing **FrozenLake-v1**
+  This is a trained model of a **Reinforce** agent playing **FrozenLake-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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+{"n_training_episodes": 1000, "n_evaluation_episodes": 100, "max_t": 200, "gamma": 1.0, "lr": 0.01, "env_id": "FrozenLake-v1"}

model.pt

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+size 2219

replay.mp4

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results.json

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+{"env_id": "FrozenLake-v1", "mean_reward": 0.96, "n_evaluation_episodes": 100, "eval_datetime": "2022-09-14T22:00:27.034769"}