Sheng-Han Hu

Inverse Reinforcement Learning for Optimal Consensus in Input‐Delay Multiagent Systems With Saturating Actuators

This paper considers the inverse reinforcement learning (IRL) problem of multi‐agent systems (MASs) in the presence of input delay and input saturation. The problem is formulated as Graphical Apprentice Games. To deal with the input delay, a model reduction method is employed to reconstruct the system state, and new...