2 papers
cs.LG2025
Don't Trade Off Safety: Diffusion Regularization for Constrained Offline RL
Junyu Guo, Zhi Zheng, Donghao Ying +4
Constrained reinforcement learning (RL) seeks high-performance policies under safety constraints. We focus on an offline setting where the agent has only a fixed dataset -- common…
cs.RO2024
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
Zhi Zheng, Shangding Gu
Ensuring safety in MARL, particularly when deploying it in real-world applications such as autonomous driving, emerges as a critical challenge. To address this challenge, tradition…