Optimal Containment of Multiagent Systems With Multistep Policy Gradient Reinforcement Learning.
This article analyzes the optimal containment control problem of discrete-time multiagent systems (MASs). Multistep temporal difference (TD) learning is integrated with policy gradient (PG) reinforcement learning (RL) to form an online off-policy multistep PG (MS-PG) algorithm. The proposed MS-PG algorithm achieves opt...