Hongda Zhang

The Effect of Different Types of Internal Rewards in Distributed Multi-Agent Deep Reinforcement Learning

2019

Distributed multiagent reinforcement learning in the same environment is prohibitively hard, due to the difficulty of assigning credit for the individual actions of the agent, especially when the agent is a member of a team. …