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README.md

@@ -21,7 +21,7 @@ model-index:
       type: OpenAI/Gym/Atari-QbertNoFrameskip-v4
     metrics:
     - type: mean_reward
-      value: 8300.0 +/- 0.0
+      value: 12350.0 +/- 0.0
       name: mean_reward
 ---
 
@@ -166,6 +166,7 @@ exp_config = {
                     'mode': 'train_iter'
                 },
                 'figure_path': None,
+                'return_env_info': True,
                 'cfg_type': 'InteractionSerialEvaluatorDict',
                 'stop_value': 30000,
                 'n_episode': 8
@@ -210,7 +211,7 @@ exp_config = {
 
 **Training Procedure** 
 <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-- **Weights & Biases (wandb):** [monitor link](https://wandb.ai/anony-moose-281353441759581725/QbertNoFrameskip-v4-C51?apiKey=d148cead9d59fbdabf4ef34f646a7ed95795e5bb)
+- **Weights & Biases (wandb):** [monitor link](https://wandb.ai/zjowowen/QbertNoFrameskip-v4-C51)
 
 ## Model Information
 <!-- Provide the basic links for the model. -->
@@ -220,7 +221,7 @@ exp_config = {
 - **Demo:** [video](https://huggingface.co/OpenDILabCommunity/QbertNoFrameskip-v4-C51/blob/main/replay.mp4)
 <!-- Provide the size information for the model. -->
 - **Parameters total size:** 55276.2 KB
-- **Last Update Date:** 2023-07-24
+- **Last Update Date:** 2023-08-04
 
 ## Environments
 <!-- Address questions around what environment the model is intended to be trained and deployed at, including the necessary information needed to be provided for future users. -->