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README.md

@@ -21,7 +21,7 @@ model-index:
       type: OpenAI/Gym/Atari-PongNoFrameskip-v4
     metrics:
     - type: mean_reward
-      value: 20.0 +/- 1.41
+      value: 19.6 +/- 1.74
       name: mean_reward
 ---
 
@@ -45,7 +45,7 @@ This is a simple **PPO** implementation to OpenAI/Gym/Atari **PongNoFrameskip-v4
 git clone https://github.com/opendilab/huggingface_ding.git
 pip3 install -e ./huggingface_ding/
 # install environment dependencies if needed
-pip3 install DI-engine[common_env]
+pip3 install DI-engine[common_env,video]
 ```
 </details>
 
@@ -138,7 +138,7 @@ push_model_to_hub(
     github_repo_url="https://github.com/opendilab/DI-engine",
     github_doc_model_url="https://di-engine-docs.readthedocs.io/en/latest/12_policies/ppo.html",
     github_doc_env_url="https://di-engine-docs.readthedocs.io/en/latest/13_envs/atari.html",
-    installation_guide="pip3 install DI-engine[common_env]",
+    installation_guide="pip3 install DI-engine[common_env,video]",
     usage_file_by_git_clone="./ppo/pong_ppo_deploy.py",
     usage_file_by_huggingface_ding="./ppo/pong_ppo_download.py",
     train_file="./ppo/pong_ppo.py",
@@ -202,7 +202,7 @@ exp_config = {
 - **Demo:** [video](https://huggingface.co/OpenDILabCommunity/PongNoFrameskip-v4-PPO/blob/main/replay.mp4)
 <!-- Provide the size information for the model. -->
 - **Parameters total size:** 11501.55 KB
-- **Last Update Date:** 2023-09-20
+- **Last Update Date:** 2023-09-22
 
 ## 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. -->