Yuanhao Wang

According to our database, Yuanhao Wang authored at least 20 papers between 2019 and 2024.

Collaborative distances:

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

2024

Directional Smoothness and Gradient Methods: Convergence and Adaptivity.

Aaron Mishkin, Ahmed Khaled, Yuanhao Wang, Aaron Defazio, Robert M. Gower

CoRR, 2024

2023

Is RLHF More Difficult than Standard RL?

Yuanhao Wang, Qinghua Liu, Chi Jin

CoRR, 2023

Is RLHF More Difficult than Standard RL? A Theoretical Perspective.

Yuanhao Wang, Qinghua Liu, Chi Jin

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

Learning Rationalizable Equilibria in Multiplayer Games.

Yuanhao Wang, Dingwen Kong, Yu Bai, Chi Jin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation.

Yuanhao Wang, Qinghua Liu, Yu Bai, Chi Jin

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits.

Qinghua Liu, Yuanhao Wang, Chi Jin

Proceedings of the International Conference on Machine Learning, 2022

Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization.

Guodong Zhang, Yuanhao Wang, Laurent Lessard, Roger B. Grosse

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

V-Learning - A Simple, Efficient, Decentralized Algorithm for Multiagent RL.

Chi Jin, Qinghua Liu, Yuanhao Wang, Tiancheng Yu

CoRR, 2021

An Exponential Lower Bound for Linearly-Realizable MDPs with Constant Suboptimality Gap.

Yuanhao Wang, Ruosong Wang, Sham M. Kakade

CoRR, 2021

Don't Fix What ain't Broke: Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization.

Guodong Zhang, Yuanhao Wang, Laurent Lessard, Roger B. Grosse

CoRR, 2021

An Exponential Lower Bound for Linearly Realizable MDP with Constant Suboptimality Gap.

Yuanhao Wang, Ruosong Wang, Sham M. Kakade

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

Online Learning in Unknown Markov Games.

Yi Tian, Yuanhao Wang, Tiancheng Yu, Suvrit Sra

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

On the Suboptimality of Negative Momentum for Minimax Optimization.

Guodong Zhang, Yuanhao Wang

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

2020

Provably Efficient Online Agnostic Learning in Markov Games.

Yi Tian, Yuanhao Wang, Tiancheng Yu, Suvrit Sra

CoRR, 2020

Refined Analysis of FPL for Adversarial Markov Decision Processes.

Yuanhao Wang, Kefan Dong

CoRR, 2020

Improved Algorithms for Convex-Concave Minimax Optimization.

Yuanhao Wang, Jian Li

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

On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach.

Yuanhao Wang, Guodong Zhang, Jimmy Ba

Proceedings of the 8th International Conference on Learning Representations, 2020

Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication.

Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang

Proceedings of the 8th International Conference on Learning Representations, 2020

Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP.

Yuanhao Wang, Kefan Dong, Xiaoyu Chen, Liwei Wang

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Distributed Bandit Learning: How Much Communication is Needed to Achieve (Near) Optimal Regret.

Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang

CoRR, 2019