Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+replay.mp4 filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,32 @@
+---
+tags:
+- Taxi-v3
+- q-learning
+- reinforcement-learning
+- custom-implementation
+model-index:
+- name: q-Taxi-v3
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: Taxi-v3
+      type: Taxi-v3
+    metrics:
+    - type: mean_reward
+      value: 7.48 +/- 2.77
+      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
+
+  model = load_from_hub(repo_id="RL-Learn/q-Taxi-v3", 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 sha256:2f4e03bced77c1c6f5ef8de2f2888f9dac82418345e86f180c076a4444e67338
+size 24570

replay.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4320850e506f58ea5884217eca55b12403e246cc1b215d113c44b52a0f88789c
+size 114846

results.json

@@ -0,0 +1 @@
+{"env_id": "Taxi-v3", "mean_reward": 7.48, "n_eval_episodes": 100, "eval_datetime": "2025-03-23T21:10:38.399796"}