Push Reinforce agent to 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: Reinforce-CartPole-v1
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: CartPole-v1
+      type: CartPole-v1
+    metrics:
+    - type: mean_reward
+      value: 31.55 +/- 14.99
+      name: mean_reward
+      verified: false
+---
+# **Q-Learning** Agent playing **CartPole-v1**
+
+This is a trained model of a **Q-Learning** agent playing **CartPole-v1** .
+
+ ## Usage
+
+```python
+
+model = load_from_hub(repo_id="sayby/Reinforce-CartPole-v1", filename="q-learning.pkl")
+
+ # Don't forget to check if you need to add additional attributes (is_slippery=False etc)
+
+ env = gym.make(model["env_id"])
+
+ evaluate_agent(env, model["max_steps"], model["n_eval_episodes"], model["qtable"], model["eval_seed"])
+
+ 
+      ```
+      

model.pt

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+size 3999

replay.mp4

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results.json

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