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Shenao Zhang
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2020 – today
- 2024
- [c8]Feng Gao, Liangzhi Shi, Shenao Zhang, Zhaoran Wang, Yi Wu:
Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations. ICML 2024 - [c7]Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang:
Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents. ICML 2024 - [i11]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 abs/2402.16181 (2024) - [i10]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 abs/2405.16436 (2024) - [i9]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 abs/2405.19332 (2024) - [i8]Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang, Yongfei Liu, Liyu Chen, Tao Sun, Zhaoran Wang:
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs. CoRR abs/2410.08067 (2024) - 2023
- [c6]Shenao Zhang, Li Shen, Lei Han, Li Shen:
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning. CoLLAs 2023: 292-317 - [c5]Shenao Zhang, Wanxin Jin, Zhaoran Wang:
Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics. ICML 2023: 41219-41243 - [c4]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 - [c3]Shenao Zhang, Boyi Liu, Zhaoran Wang, Tuo Zhao:
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms. NeurIPS 2023 - [i7]Xiaoyu Chen, Shenao Zhang, Pushi Zhang, Li Zhao, Jianyu Chen:
Asking Before Action: Gather Information in Embodied Decision Making with Language Models. CoRR abs/2305.15695 (2023) - [i6]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 abs/2305.18258 (2023) - [i5]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 abs/2309.17382 (2023) - [i4]Shenao Zhang, Boyi Liu, Zhaoran Wang, Tuo Zhao:
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms. CoRR abs/2310.19927 (2023) - 2022
- [c2]Shenao Zhang:
Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning. NeurIPS 2022 - [i3]Shenao Zhang:
Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning. CoRR abs/2209.07676 (2022) - 2021
- [i2]Shenao Zhang, Li Shen, Zhifeng Li, Wei Liu:
Structure-Regularized Attention for Deformable Object Representation. CoRR abs/2106.06672 (2021) - [i1]Shenao Zhang, Li Shen, Lei Han, Li Shen:
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning. CoRR abs/2108.12988 (2021)
2010 – 2019
- 2019
- [c1]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: 1150-1155
Coauthor Index
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