Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning

Xuefeng Wang, Lei Zhang, Henglin Pu +2

Existing reinforcement learning (RL) methods struggle with complex dynamical systems that demand interactions at high frequencies or irregular time intervals. Continuous-time RL (C…