Jiang, Shengyi

8 publications

ICML 2024 Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Ruifeng Chen, Zhilong Zhang, Xinwei Chen, Yang Yu

NeurIPS 2024 Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting Xiong-Hui Chen, Ziyan Wang, Yali Du, Shengyi Jiang, Meng Fang, Yang Yu, Jun Wang

AAAI 2022 Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy Fan-Ming Luo, Shengyi Jiang, Yang Yu, Zongzhang Zhang, Yi-Feng Zhang

AAAI 2022 Invariant Action Effect Model for Reinforcement Learning Zheng-Mao Zhu, Shengyi Jiang, Yu-Ren Liu, Yang Yu, Kun Zhang

NeurIPS 2021 Cross-Modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning Xiong-Hui Chen, Shengyi Jiang, Feng Xu, Zongzhang Zhang, Yang Yu

AAAI 2021 Enhancing Context-Based Meta-Reinforcement Learning Algorithms via an Efficient Task Encoder (Student Abstract) Feng Xu, Shengyi Jiang, Hao Yin, Zongzhang Zhang, Yang Yu, Ming Li, Dong Li, Wulong Liu

NeurIPS 2021 Regret Minimization Experience Replay in Off-Policy Reinforcement Learning Xu-Hui Liu, Zhenghai Xue, Jingcheng Pang, Shengyi Jiang, Feng Xu, Yang Yu

NeurIPS 2020 Offline Imitation Learning with a Misspecified Simulator Shengyi Jiang, Jingcheng Pang, Yang Yu