2 papers
cs.RO2026
Learning Predictive Control with Deep Koopman Operators for Autonomous Vehicle Motion Planning
Xinglong Zhang, Yongqian Xiao, Haotian Cao +3
Model Predictive Control (MPC) is widely used for autonomous-vehicle (AV) motion planning, but its real-time applicability is often limited by the need for accurate models and onli…
cs.LG2025
Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
Yunchang Ma, Tenglong Liu, Yixing Lan +4
In offline reinforcement learning, value overestimation caused by out-of-distribution (OOD) actions significantly limits policy performance. Recently, diffusion models have been le…