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README.md

@@ -1,22 +1,21 @@
 ---
-library_name: stable-baselines3
 tags:
-- LunarLander-v2
-- deep-reinforcement-learning
+- FrozenLake-v1-4x4-no_slippery
+- q-learning
 - reinforcement-learning
-- stable-baselines3
+- custom-implementation
 model-index:
-- name: PPO
+- name: CogArch
   results:
   - task:
       type: reinforcement-learning
       name: reinforcement-learning
     dataset:
-      name: LunarLander-v2
-      type: LunarLander-v2
+      name: FrozenLake-v1-4x4-no_slippery
+      type: FrozenLake-v1-4x4-no_slippery
     metrics:
     - type: mean_reward
-      value: 265.35 +/- 21.03
+      value: 1.00 +/- 0.00
       name: mean_reward
       verified: false
 ---

q-learning.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e98a2445193951bbe55c4d271cd3af3deb7f204d9f8899f7872794548ec2640
+size 914

results.json

@@ -1 +1 @@
-{"mean_reward": 265.34730678923677, "std_reward": 21.028653813183002, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-09-10T20:50:08.397250"}
+{"env_id": "FrozenLake-v1", "mean_reward": 1.0, "n_eval_episodes": 100, "eval_datetime": "2023-11-30T17:45:58.364218"}