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README.md

@@ -6,7 +6,7 @@ tags:
 - reinforcement-learning
 - custom-implementation
 - atari
-- MontezumaRevengeNoFrameskip-v4
+- SuperMarioBros-v0
 model-index:
 - name: RND-SuperMarioBros-v0
   results:
@@ -18,7 +18,7 @@ model-index:
       type: SuperMarioBros-v0
     metrics:
     - type: mean_reward
-      value: 1998.70 +/- 315.66
+      value: 2139.10 +/- 683.54
       name: mean_reward
       verified: false
 ---

agent.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:29ddf058a32db98bee9716c416a6af9c7c90a8edb11e1a09c1f10cc3e51d0554
+oid sha256:32232084ff473808b02e23bdfd72d95bf74988234f72a03c8484f0133c563076
 size 21167174

results.json

@@ -1 +1 @@
-{"env_id": "SuperMarioBros-v0", "mean_reward": 1998.7, "n_evaluation_episodes": 10, "eval_datetime": "2024-07-03T21:57:06.394678"}
+{"env_id": "SuperMarioBros-v0", "mean_reward": 2139.1, "n_evaluation_episodes": 10, "eval_datetime": "2024-07-04T06:39:24.093910"}