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:
+- Pong-PLE-v0
+- reinforce
+- reinforcement-learning
+- custom-implementation
+- deep-rl-class
+model-index:
+- name: Reinforce-Pong-PLE-v0
+  results:
+  - metrics:
+    - type: mean_reward
+      value: -16.00 +/- 0.00
+      name: mean_reward
+    task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: Pong-PLE-v0
+      type: Pong-PLE-v0
+---
+
+  # **Reinforce** Agent playing **Pong-PLE-v0**
+  This is a trained model of a **Reinforce** agent playing **Pong-PLE-v0** .
+  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": 64, "n_training_episodes": 20000, "n_evaluation_episodes": 10, "max_t": 5000, "gamma": 0.99, "lr": 0.01, "env_id": "Pong-PLE-v0", "state_space": 7, "action_space": 3}

model.pt

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+oid sha256:055b7b5ed17e12adbce65e743999c829149b4735c787ff3f87d36a813c303188
+size 39511

replay.mp4

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+oid sha256:f0b4edda581798f4ba4ec7e33f7b1cf81c073a26a41f331a0a8446bcc71f21ee
+size 15760

results.json

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+{"env_id": "Pong-PLE-v0", "mean_reward": -16.0, "n_evaluation_episodes": 10, "eval_datetime": "2022-07-22T11:08:45.413104"}