Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications
Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications
Reinforcement learning (RL) algorithms have been around for decades and employed to solve various sequential decision-making problems. These algorithms, however, have faced great challenges when dealing with high-dimensional environments. The recent development of deep learning has enabled RL methods to drive optimal policies for sophisticated and capable agents, which can …