• 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, torch, sys
  print(tianshou.__version__, torch.__version__, sys.version, sys.platform)

Now I am training a new network with no pre-trained weights, while I meet with the action asturation problem(the agent only take one action). Therefore, I prepare to train the network with supervised data(generate from another optimization algorithm). So how could I send the supervised data to tianshou, or I have to write another script for training. Thanks for any help!
By the way, I currently use the PPO with onpolicy trainer, and is there any examples to #188 if it could solve my problem ?