An Efficient Transfer Learning Framework for Multiagent Reinforcement
Learning
An Efficient Transfer Learning Framework for Multiagent Reinforcement
Learning
Transfer Learning has shown great potential to enhance single-agent Reinforcement Learning (RL) efficiency. Similarly, Multiagent RL (MARL) can also be accelerated if agents can share knowledge with each other. However, it remains a problem of how an agent should learn from other agents. In this paper, we propose a novel …