Zhaoran Wang

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 20

Top Topics

Function Approximation

Temporal Difference

Reinforcement Learning

Top Venues

Publications

Rui Zheng, Hongyi Guo, Zhihan Liu, Xiaoying Zhang, Yuanshun Yao, Xiaojun Xu, Zhaoran Wang, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang, Hang Li, Yang Liu
Toward Optimal LLM Alignments Using Two-Player Games. CoRR (2024)
Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
Dynamic datasets and market environments for financial reinforcement learning. Mach. Learn. 113 (5) (2024)
Nuoya Xiong, Zhihan Liu, Zhaoran Wang, Zhuoran Yang
Sample-Efficient Multi-Agent RL: An Optimization Perspective. ICLR (2024)
Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang
Let Models Speak Ciphers: Multiagent Debate through Embeddings. ICLR (2024)
Chenjia Bai, Ting Xiao, Zhoufan Zhu, Lingxiao Wang, Fan Zhou, Animesh Garg, Bin He, Peng Liu, Zhaoran Wang
Monotonic Quantile Network for Worst-Case Offline Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
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)
Zihao Li, Boyi Liu, Zhuoran Yang, Zhaoran Wang, Mengdi Wang
Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning. CoRR (2024)
Zhixian Xie, Wenlong Zhang, Yi Ren, Zhaoran Wang, George J. Pappas, Wanxin Jin
Safe MPC Alignment with Human Directional Feedback. CoRR (2024)
Hongyi Guo, Zhihan Liu, Yufeng Zhang, Zhaoran Wang
Can Large Language Models Play Games? A Case Study of A Self-Play Approach. CoRR (2024)
Yuchen Zhu, Yufeng Zhang, Zhaoran Wang, Zhuoran Yang, Xiaohong Chen
A Mean-Field Analysis of Neural Gradient Descent-Ascent: Applications to Functional Conditional Moment Equations. 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)
Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Tianyi Zhou, Zhaoran Wang, Jing Jiang
False Correlation Reduction for Offline Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (2) (2024)
Mengying Lin, Yaran Chen, Dongbin Zhao, Zhaoran Wang
Advancing Object Goal Navigation Through LLM-enhanced Object Affinities Transfer. CoRR (2024)
Qi Cai, Zhuoran Yang, Jason D. Lee, Zhaoran Wang
Neural Temporal Difference and Q Learning Provably Converge to Global Optima. Math. Oper. Res. 49 (1) (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)
Shenao Zhang, Boyi Liu, Zhaoran Wang, Tuo Zhao
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms. NeurIPS (2023)
Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang
Learning Regularized Monotone Graphon Mean-Field Games. NeurIPS (2023)
Quanquan Gu, Zhaoran Wang, Han Liu
Sparse PCA with Oracle Property. CoRR (2023)
Shuang Qiu, Ziyu Dai, Han Zhong, Zhaoran Wang, Zhuoran Yang, Tong Zhang
Posterior Sampling for Competitive RL: Function Approximation and Partial Observation. NeurIPS (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)