Yuanhao Wang - RankMe

33 papers A* 12A 2Journal 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Is Elo Rating Reliable? A Study Under Model Misspecification. CoRR Shange Tang, Yuanhao Wang, Chi Jin
2025	A*	`conf`	Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games. ICML Jiawei Ge, Yuanhao Wang, Wenzhe Li, Chi Jin
2025	J	`jnl`	Tie-breaking Agnostic Lower Bound for Fictitious Play. CoRR Yuanhao Wang
2024	A*	`conf`	Directional Smoothness and Gradient Methods: Convergence and Adaptivity. NeurIPS Aaron Mishkin, Ahmed Khaled, Yuanhao Wang, Aaron Defazio, Robert M. Gower
2024	J	`jnl`	Directional Smoothness and Gradient Methods: Convergence and Adaptivity. CoRR Aaron Mishkin, Ahmed Khaled, Yuanhao Wang, Aaron Defazio, Robert M. Gower
2024	J	`jnl`	Towards Principled Superhuman AI for Multiplayer Symmetric Games. CoRR Jiawei Ge, Yuanhao Wang, Wenzhe Li, Chi Jin
2024	J	`jnl`	V-Learning - A Simple, Efficient, Decentralized Algorithm for Multiagent Reinforcement Learning. Math. Oper. Res. Chi Jin, Qinghua Liu, Yuanhao Wang, Tiancheng Yu
2023	A*	`conf`	Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation. COLT Yuanhao Wang, Qinghua Liu, Yu Bai, Chi Jin
2023	J	`jnl`	Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation. CoRR Yuanhao Wang, Qinghua Liu, Yu Bai, Chi Jin
2023	J	`jnl`	Is RLHF More Difficult than Standard RL? CoRR Yuanhao Wang, Qinghua Liu, Chi Jin
2023	A*	`conf`	Is RLHF More Difficult than Standard RL? A Theoretical Perspective. NeurIPS Yuanhao Wang, Qinghua Liu, Chi Jin
2023	A*	`conf`	Learning Rationalizable Equilibria in Multiplayer Games. ICLR Yuanhao Wang, Dingwen Kong, Yu Bai, Chi Jin
2022	A*	`conf`	Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits. ICML Qinghua Liu, Yuanhao Wang, Chi Jin
2022	J	`jnl`	Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits. CoRR Qinghua Liu, Yuanhao Wang, Chi Jin
2022	J	`jnl`	Learning Rationalizable Equilibria in Multiplayer Games. CoRR Yuanhao Wang, Dingwen Kong, Yu Bai, Chi Jin
2022	A	`conf`	Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization. AISTATS Guodong Zhang, Yuanhao Wang, Laurent Lessard, Roger B. Grosse
2021	A*	`conf`	An Exponential Lower Bound for Linearly Realizable MDP with Constant Suboptimality Gap. NeurIPS Yuanhao Wang, Ruosong Wang, Sham M. Kakade
2021	J	`jnl`	An Exponential Lower Bound for Linearly-Realizable MDPs with Constant Suboptimality Gap. CoRR Yuanhao Wang, Ruosong Wang, Sham M. Kakade
2021	J	`jnl`	Don't Fix What ain't Broke: Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization. CoRR Guodong Zhang, Yuanhao Wang, Laurent Lessard, Roger B. Grosse
2021	A	`conf`	On the Suboptimality of Negative Momentum for Minimax Optimization. AISTATS Guodong Zhang, Yuanhao Wang
2021	A*	`conf`	Online Learning in Unknown Markov Games. ICML Yi Tian, Yuanhao Wang, Tiancheng Yu, Suvrit Sra
2021	J	`jnl`	V-Learning - A Simple, Efficient, Decentralized Algorithm for Multiagent RL. CoRR Chi Jin, Qinghua Liu, Yuanhao Wang, Tiancheng Yu
2020	A*	`conf`	Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication. ICLR Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang
2020	A*	`conf`	Improved Algorithms for Convex-Concave Minimax Optimization. NeurIPS Yuanhao Wang, Jian Li
2020	J	`jnl`	Improved Algorithms for Convex-Concave Minimax Optimization. CoRR Yuanhao Wang, Jian Li
2020	A*	`conf`	On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach. ICLR Yuanhao Wang, Guodong Zhang, Jimmy Ba
2020	J	`jnl`	On the Suboptimality of Negative Momentum for Minimax Optimization. CoRR Guodong Zhang, Yuanhao Wang
2020	J	`jnl`	Provably Efficient Online Agnostic Learning in Markov Games. CoRR Yi Tian, Yuanhao Wang, Tiancheng Yu, Suvrit Sra
2020	A*	`conf`	Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP. ICLR Yuanhao Wang, Kefan Dong, Xiaoyu Chen, Liwei Wang
2020	J	`jnl`	Refined Analysis of FPL for Adversarial Markov Decision Processes. CoRR Yuanhao Wang, Kefan Dong
2019	J	`jnl`	Distributed Bandit Learning: How Much Communication is Needed to Achieve (Near) Optimal Regret. CoRR Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang
2019	J	`jnl`	On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach. CoRR Yuanhao Wang, Guodong Zhang, Jimmy Ba
2019	J	`jnl`	Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP. CoRR Kefan Dong, Yuanhao Wang, Xiaoyu Chen, Liwei Wang