IEEE

Data-Driven Reinforcement Learning Tracking of MASs Under Injection Attack: A Controller-Dynamic-Linearization Approach

Abstract: A novel reinforcement learning (RL)-based model-free adaptive control (MFAC) strategy is proposed to address the consensus tracking control issue for multiagent systems subjected to data ...
IEEE

HGRL: Human-Driving-Data Guided Reinforcement Learning for Autonomous Driving

Abstract: Reinforcement learning (RL) shows promise for autonomous driving decision-making. However, designing appropriate reward functions to guide RL agents towards complex optimization objectives ...