• I have marked all applicable categories:
  • exception-raising bug
  • RL algorithm bug
  • documentation request (i.e. "X is missing from the documentation.")
  • new feature request
  • design request (i.e. "X should be changed to Y.")
• I have visited the source website
• I have searched through the issue tracker for duplicates
• I have mentioned version numbers, operating system and environment, where applicable:

  import tianshou, gymnasium as gym, torch, numpy, sys
  print(tianshou.__version__, gym.__version__, torch.__version__, numpy.__version__, sys.version, sys.platform)

The training env is SubprocVectorEnv and now I use the tensorboard to record the training data, but the tensorboard records all parallel env in one file. However, I need separate data for each environment which are initialized with different seeds.
Is there any example? The data can be record in tensorboard or saved in CSV file.