Failed to register a custom

[mannyv]

Hi @jiangzhangze,

This was a bug. It should be fixed in ray 2.3 and nightly.

[Bug] Env must be one of the supported types: BaseEnv, gym.Env, MultiAgentEnv, VectorEnv, RemoteBaseEnv

@Blubberblub Thanks for your patience and detailed help. I finally solve this problem by changing the method of environment registration process. However, there is another question: I want to apply a trained policy obtained from a single agent scenario to a multi-agent scenario, and every agent should use this same trained policy. Could you please give some tips to implement this function in rllib, thank you!