2 papers
cs.LG2026
Diffusion Policy with Behavioral Advantage Correction for Offline Reinforcement Learning
Botao Dong, Longyang Huang, Ning Pang +1
In offline reinforcement learning (RL), the distribution shift between behavioral data and the learned policy can lead to erroneous \emph{Q}-value estimation, thereby misguiding th…
eess.SY2024
Fixed-Relative-Switched Threshold Strategies for Consensus Tracking Control of Nonlinear Multiagent Systems
Ziming Wang, Yun Gao, Apostolos I. Rikos +2
This paper investigates event-triggered consensus tracking in nonlinear semi-strict-feedback multi-agent systems involving one leader and multiple followers. We first employ radial…