• 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
• 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)

0.5.1 0.29.1 1.12.1 1.24.4 3.9.17 | packaged by conda-forge | (main, Aug 10 2023, 07:02:31) 
[GCC 12.3.0] linux

Hi!

I want to customize a logger to record some desired parameters, like success rate.

I'm trying to get to know the Tianshou API, but I'm not sure if it is easy to implement. Or, are there any examples to be referred to?

I have trained some Mujoco example models. Only these parameters are recorded, such as env_step, length, length_std, test/train reward, etc.

If this is unavailable for the current version of Tianshou? Would it be considered a new feature to record the variation of the success rate during training?

Thanks in advance!