Yuanhao Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Rendezvous Search

Markov Decision Processes

Discrete Optimization

Top Venues

Publications

Jiawei Ge, Yuanhao Wang, Wenzhe Li, Chi Jin
Towards Principled Superhuman AI for Multiplayer Symmetric Games. CoRR (2024)
Aaron Mishkin, Ahmed Khaled, Yuanhao Wang, Aaron Defazio, Robert M. Gower
Directional Smoothness and Gradient Methods: Convergence and Adaptivity. CoRR (2024)
Yuanhao Wang, Dingwen Kong, Yu Bai, Chi Jin
Learning Rationalizable Equilibria in Multiplayer Games. ICLR (2023)
Yuanhao Wang, Qinghua Liu, Chi Jin
Is RLHF More Difficult than Standard RL? CoRR (2023)
Yuanhao Wang, Qinghua Liu, Chi Jin
Is RLHF More Difficult than Standard RL? A Theoretical Perspective. NeurIPS (2023)
Yuanhao Wang, Qinghua Liu, Yu Bai, Chi Jin
Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation. COLT (2023)
Guodong Zhang, Yuanhao Wang, Laurent Lessard, Roger B. Grosse
Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization. AISTATS (2022)
Guodong Zhang, Yuanhao Wang, Laurent Lessard, Roger B. Grosse
Don't Fix What ain't Broke: Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization. CoRR (2021)
Guodong Zhang, Yuanhao Wang
On the Suboptimality of Negative Momentum for Minimax Optimization. AISTATS (2021)
Yuanhao Wang, Guodong Zhang, Jimmy Ba
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach. ICLR (2020)
Yuanhao Wang, Jian Li
Improved Algorithms for Convex-Concave Minimax Optimization. CoRR (2020)
Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang
Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication. ICLR (2020)
Yuanhao Wang, Kefan Dong, Xiaoyu Chen, Liwei Wang
Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP. ICLR (2020)
Guodong Zhang, Yuanhao Wang
On the Suboptimality of Negative Momentum for Minimax Optimization. CoRR (2020)
Yuanhao Wang, Kefan Dong
Refined Analysis of FPL for Adversarial Markov Decision Processes. CoRR (2020)
Yuanhao Wang, Guodong Zhang, Jimmy Ba
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach. CoRR (2019)
Kefan Dong, Yuanhao Wang, Xiaoyu Chen, Liwei Wang
Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP. CoRR (2019)
Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang
Distributed Bandit Learning: How Much Communication is Needed to Achieve (Near) Optimal Regret. CoRR (2019)