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Shan Zhong

2 accepted papers

2025

GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning

NeurIPS 2025poster

Recent advances in reinforcement learning (RL) have demonstrated the powerful exploration capabilities and multimodality of generative diffusion-based policies. While substantial progress has been made in offline RL and off-policy RL settings, integrating diffusion policies into on-policy frameworks…

Cited by 0SourceScholar
2024

CDA-MBPO: Corrected Data Aggregation for Model-Based Policy Optimization

ICASSP 2024accepted

Model-based reinforcement learning has shown promise in sample efficiency but suffers from errors accumulated during multi-step model sampling. To tackle this issue, we propose corrected data aggregation for model-based policy optimization. This approach involves aligning simulated trajectories with…

Cited by 0SourceScholar