Multi-Agent Reinforcement Learning Policy Transfer by Buffer

The learning complexity of learning from scratch in a new environment is getting higher because of the existence of multi-agent, which costs enormous calculating resources and time. In our work, to accelerate the training of multi-agent reinforcement learning in the new environment, we propose a method to transfer knowledge by measuring the differences between environments. The method mainly inclu...