Yufeng Zhang

According to our database, Yufeng Zhang authored at least 17 papers between 2020 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

A Mean-Field Analysis of Neural Gradient Descent-Ascent: Applications to Functional Conditional Moment Equations.

Yuchen Zhu, Yufeng Zhang, Zhaoran Wang, Zhuoran Yang, Xiaohong Chen

CoRR, 2024

Can Large Language Models Play Games? A Case Study of A Self-Play Approach.

Hongyi Guo, Zhihan Liu, Yufeng Zhang, Zhaoran Wang

CoRR, 2024

2023

What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization.

Yufeng Zhang, Fengzhuo Zhang, Zhuoran Yang, Zhaoran Wang

CoRR, 2023

2022

An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models.

Yufeng Zhang, Boyi Liu, Qi Cai, Lingxiao Wang, Zhaoran Wang

CoRR, 2022

Federated Offline Reinforcement Learning.

Doudou Zhou, Yufeng Zhang, Aaron Sonabend W., Zhaoran Wang, Junwei Lu, Tianxi Cai

CoRR, 2022

Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation.

Zhihan Liu, Yufeng Zhang, Zuyue Fu, Zhuoran Yang, Zhaoran Wang

Proceedings of the International Conference on Machine Learning, 2022

Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes.

Hongyi Guo, Qi Cai, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang

Proceedings of the International Conference on Machine Learning, 2022

2021

Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation.

Zhihan Liu, Yufeng Zhang, Zuyue Fu, Zhuoran Yang, Zhaoran Wang

CoRR, 2021

Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic.

Yufeng Zhang, Siyu Chen, Zhuoran Yang, Michael I. Jordan, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration.

Runzhe Wu, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport.

Lewis Liu, Yufeng Zhang, Zhuoran Yang, Reza Babanezhad, Zhaoran Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case.

Yufeng Zhang, Zhuoran Yang, Zhaoran Wang

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization.

Zhuoran Yang, Yufeng Zhang, Yongxin Chen, Zhaoran Wang

CoRR, 2020

Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate.

Yufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang

CoRR, 2020

Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory.

Yufeng Zhang, Qi Cai, Zhuoran Yang, Yongxin Chen, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate.

Yufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang

Proceedings of the 37th International Conference on Machine Learning, 2020