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README.md

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+---
+tags:
+- Taxi-v3-4x4-no_slippery
+- q-learning
+- reinforcement-learning
+- custom-implementation
+model-index:
+- name: taxi
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: Taxi-v3-4x4-no_slippery
+      type: Taxi-v3-4x4-no_slippery
+    metrics:
+    - type: mean_reward
+      value: 1.00 +/- 0.00
+      name: mean_reward
+      verified: false
+---
+
+  # **Q-Learning** Agent playing1 **Taxi-v3**
+  This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
+
+  ## Usage
+
+  ```python
+
+  model = load_from_hub(repo_id="dbostain/taxi", 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"])
+  ```
+  

q-learning.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e7fd3e0883c328d251f66c295a5565ad2245b4624c7a2b4ef7afd00404f0762b
+size 1110

results.json

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+{"env_id": "Taxi-v3", "mean_reward": 1.0, "n_eval_episodes": 100, "eval_datetime": "2024-03-22T20:10:21.992822"}