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README.md

@@ -10,7 +10,7 @@ model-index:
   results:
   - metrics:
     - type: mean_reward
-      value: 490.19 +/- 66.02
+      value: 494.83 +/- 25.41
       name: mean_reward
     task:
       type: reinforcement-learning

hyperparameters.json

@@ -1 +1 @@
-{"h_size": 16, "n_training_episodes": 1200, "n_evaluation_episodes": 100, "max_t": 1000, "gamma": 1.0, "lr": 0.01, "env_id": "CartPole-v1", "state_space": 4, "action_space": 2}
+{"env_id": "CartPole-v1", "h_size": 82, "gamma": 0.9244321379342584, "lr": 0.0014277900410510126, "n_layer": 3}

model.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c87ee01b03dcf813c88d8e7149ea17b3cf151873fb7f9a77757eb617a862d0f9
-size 2771
+oid sha256:0687e0a5c7af40d3bf27cd486ee17cadd31d38f700978392755c911c648bf9cd
+size 60731

results.json

@@ -1 +1 @@
-{"env_id": "CartPole-v1", "mean_reward": 490.19, "n_evaluation_episodes": 100, "eval_datetime": "2023-07-09T17:50:49.936496"}
+{"env_id": "CartPole-v1", "mean_reward": 494.83, "n_evaluation_episodes": 1000, "eval_datetime": "2023-07-09T20:36:18.951773"}