Python Multiprocessing with Pipe: Subprocesses sleep forever when training deep reinforcement learning agent with no error raised
I was using Pytorch-based Deep Reinforcement Learning(DRL) agent to train environment with Multiprocessing package to train in multiple process(thanks to renowned elegantrl framework).