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README.md

@@ -17,7 +17,7 @@ model-index:
       type: Pixelcopter-PLE-v0
     metrics:
     - type: mean_reward
-      value: 134.70 +/- 108.61
+      value: 40.70 +/- 50.46
       name: mean_reward
       verified: false
 ---
@@ -27,14 +27,5 @@ model-index:
   This is a trained model of a REINFORCE agent playing Pixelcopter-PLE-v0.
 
   # Hyperparameters
-  hp_seed: 1
-hp_torch_deterministic: True
-hp_nb_frames: 8
-hp_total_timesteps: 1005000
-hp_learning_t: 500
-hp_num_envs: 12
-hp_learning_rate: 0.0001
-hp_gamma: 0.99
-hp_buffer_size: 10000
-hp_batch_size: 32
+  hp_seed: 1<br />hp_torch_deterministic: True<br />hp_nb_frames: 8<br />hp_total_timesteps: 1005000<br />hp_learning_t: 500<br />hp_num_envs: 12<br />hp_learning_rate: 0.0001<br />hp_gamma: 0.99<br />hp_buffer_size: 10000<br />hp_batch_size: 32
   

results.json

@@ -1 +1 @@
-{"env_id": "Pixelcopter-PLE-v0", "mean_reward": 134.7, "std_reward": 108.60851716140867, "n_evaluation_episodes": 10, "eval_datetime": "2024-04-01T08:57:55.395128"}
+{"env_id": "Pixelcopter-PLE-v0", "mean_reward": 40.7, "std_reward": 50.463947526922624, "n_evaluation_episodes": 10, "eval_datetime": "2024-04-01T08:59:31.930409"}