Shenao Zhang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Policy Gradient

Parametric Optimization

Reinforcement Learning

Top Venues

Publications

Shenao Zhang, Sirui Zheng, Shuqi Ke, Zhihan Liu, Wanxin Jin, Jianbo Yuan, Yingxiang Yang, Hongxia Yang, Zhaoran Wang
How Can LLM Guide RL? A Value-Based Approach. CoRR (2024)
Zhihan Liu, Miao Lu, Shenao Zhang, Boyi Liu, Hongyi Guo, Yingxiang Yang, Jose H. Blanchet, Zhaoran Wang
Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer. CoRR (2024)
Shenao Zhang, Donghan Yu, Hiteshi Sharma, Ziyi Yang, Shuohang Wang, Hany Hassan, Zhaoran Wang
Self-Exploring Language Models: Active Preference Elicitation for Online Alignment. CoRR (2024)
Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang
One Objective to Rule Them All: A Maximization Objective Fusing Estimation and Planning for Exploration. CoRR (2023)
Shenao Zhang, Li Shen, Lei Han, Li Shen
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning. CoLLAs (2023)
Shenao Zhang, Boyi Liu, Zhaoran Wang, Tuo Zhao
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms. CoRR (2023)
Shenao Zhang, Boyi Liu, Zhaoran Wang, Tuo Zhao
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms. NeurIPS (2023)
Xiaoyu Chen, Shenao Zhang, Pushi Zhang, Li Zhao, Jianyu Chen
Asking Before Action: Gather Information in Embodied Decision Making with Language Models. CoRR (2023)
Shenao Zhang, Wanxin Jin, Zhaoran Wang
Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics. ICML (2023)
Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang
Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration. NeurIPS (2023)
Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang
Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency. CoRR (2023)
Shenao Zhang
Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning. CoRR (2022)
Shenao Zhang
Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning. NeurIPS (2022)
Shenao Zhang, Li Shen, Zhifeng Li, Wei Liu
Structure-Regularized Attention for Deformable Object Representation. CoRR (2021)
Shenao Zhang, Li Shen, Lei Han, Li Shen
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning. CoRR (2021)
Dazheng Hu, Huabiao Qin, Hongmei Liu, Shenao Zhang
Gaze Tracking Algorithm Based on Projective Mapping Correction and Gaze Point Compensation in Natural Light. ICCA (2019)