2019
Learning to Schedule Communication in Multi-agent Reinforcement Learning
ICLR 2019poster
Many real-world reinforcement learning tasks require multiple agents to make sequential decisions under the agents’ interaction, where well-coordinated actions among the agents are crucial to achieve the target goal better at these tasks. One way to accelerate the coordination effect is to enable mu…