Upload folder using huggingface_hub

README.md

@@ -0,0 +1,35 @@
+---
+tags:
+- FrozenLake-v1-4x4
+- q-learning
+- reinforcement-learning
+- custom-implementation
+model-index:
+- name: q-FrozenLake-v1-4x4-Slippery
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: FrozenLake-v1-4x4
+      type: FrozenLake-v1-4x4
+    metrics:
+    - type: mean_reward
+      value: 0.48 +/- 0.50
+      name: mean_reward
+      verified: false
+---
+
+  # **Q-Learning** Agent playing1 **FrozenLake-v1**
+  This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
+
+  ## Usage
+
+  ```python
+
+  model = load_from_hub(repo_id="vagi/q-FrozenLake-v1-4x4-Slippery", 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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c29ffa6749db90987057fc9613b2e4a4ffff9693fd81c9474612051a636ae55d
+size 902

results.json

@@ -0,0 +1 @@
+{"env_id": "FrozenLake-v1", "mean_reward": 0.48, "n_eval_episodes": 100, "eval_datetime": "2024-09-04T15:03:05.874893"}