Shenao Zhang

According to our database, Shenao Zhang authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reward-Augmented Data Enhances Direct Preference Alignment of LLMs.

Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang, Yongfei Liu, Liyu Chen, Tao Sun, Zhaoran Wang

CoRR, 2024

Self-Exploring Language Models: Active Preference Elicitation for Online Alignment.

Shenao Zhang, Donghan Yu, Hiteshi Sharma, Ziyi Yang, Shuohang Wang, Hany Hassan, Zhaoran Wang

CoRR, 2024

Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer.

Zhihan Liu, Miao Lu, Shenao Zhang, Boyi Liu, Hongyi Guo, Yingxiang Yang, Jose H. Blanchet, Zhaoran Wang

CoRR, 2024

How Can LLM Guide RL? A Value-Based Approach.

Shenao Zhang, Sirui Zheng, Shuqi Ke, Zhihan Liu, Wanxin Jin, Jianbo Yuan, Yingxiang Yang, Hongxia Yang, Zhaoran Wang

CoRR, 2024

Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents.

Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations.

Feng Gao, Liangzhi Shi, Shenao Zhang, Zhaoran Wang, Yi Wu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency.

Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang

CoRR, 2023

One Objective to Rule Them All: A Maximization Objective Fusing Estimation and Planning for Exploration.

Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang

CoRR, 2023

Asking Before Action: Gather Information in Embodied Decision Making with Language Models.

Xiaoyu Chen, Shenao Zhang, Pushi Zhang, Li Zhao, Jianyu Chen

CoRR, 2023

Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms.

Shenao Zhang, Boyi Liu, Zhaoran Wang, Tuo Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration.

Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics.

Shenao Zhang, Wanxin Jin, Zhaoran Wang

Proceedings of the International Conference on Machine Learning, 2023

Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning.

Shenao Zhang, Li Shen, Lei Han, Li Shen

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning.

Shenao Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Structure-Regularized Attention for Deformable Object Representation.

Shenao Zhang, Li Shen, Zhifeng Li, Wei Liu

CoRR, 2021

2019

Gaze Tracking Algorithm Based on Projective Mapping Correction and Gaze Point Compensation in Natural Light.

Dazheng Hu, Huabiao Qin, Hongmei Liu, Shenao Zhang

Proceedings of the 15th IEEE International Conference on Control and Automation, 2019