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README.md

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+---
+tags:
+- FrozenLake-v1-4x4-slippery
+- q-learning
+- reinforcement-learning
+- custom-implementation
+model-index:
+- name: q-table-frozen-lake
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: FrozenLake-v1-4x4-slippery
+      type: FrozenLake-v1-4x4-slippery
+    metrics:
+    - type: mean_reward
+      value: 0.75 +/- 0.43
+      name: mean_reward
+      verified: false
+---
+
+# **Q-Learning** Agent playing **FrozenLake-v1**
+
+This is a trained **Q-Learning** agent playing **FrozenLake-v1**.
+
+## Usage
+
+```python
+import gymnasium as gym
+from huggingface_hub import snapshot_download
+from r2seedo.io import load_n_verify_model
+
+# Download model snapshot from Hugging Face Hub
+repo_local_path = snapshot_download(
+  repo_id="libertininick/q-table-frozen-lake", 
+  local_dir="path/to/download",
+)
+
+# Load the model from the snapshot
+model = load_n_verify_model(repo_local_path)
+
+# Create the environment
+env = env_slippery = gym.make(
+  id='FrozenLake-v1',
+  map_name='4x4',
+  is_slippery=True,
+)
+```

eval_results.json

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+{
+  "env_id": "FrozenLake-v1",
+  "map_name": "4x4",
+  "is_slippery": true,
+  "num_episodes": 100,
+  "mean_reward": 0.75,
+  "std_reward": 0.4330127018922193,
+  "eval_datetime": "2024-04-07T13:29:45.128562"
+}

model.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cef8c3672a107117f84b09cbfd4aec86ddf0a50141513b447147d309123f977f
+size 1107

public.pem

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+-----BEGIN PUBLIC KEY-----
+MCowBQYDK2VwAyEA7cLQ3Lj0Gjq/yJAVJg65ndUeHIuW6S2HVmRlXUX7TGA=
+-----END PUBLIC KEY-----

signature.txt

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