3 papers
cs.LG2025
Mildly Conservative Regularized Evaluation for Offline Reinforcement Learning
Haohui Chen, Zhiyong Chen
Offline reinforcement learning (RL) seeks to learn optimal policies from static datasets without further environment interaction. A key challenge is the distribution shift between…
cs.AI2025
Success in Humanoid Reinforcement Learning under Partial Observation
Wuhao Wang, Zhiyong Chen
Reinforcement learning has been widely applied to robotic control, but effective policy learning under partial observability remains a major challenge, especially in high-dimension…
cs.AI2024
Multi-agent Reinforcement Learning with Deep Networks for Diverse Q-Vectors
Zhenglong Luo, Zhiyong Chen, James Welsh
Multi-agent reinforcement learning (MARL) has become a significant research topic due to its ability to facilitate learning in complex environments. In multi-agent tasks, the state…