Learning in Congestion Games with Bandit Feedback

Learning in Congestion Games with Bandit Feedback

4 June 2022

Qiwen Cui

Papers citing "Learning in Congestion Games with Bandit Feedback"

8 / 8 papers shown

Title
On the Decomposition of Differential Game Nanxiang Zhou Jing Dong Yutian Li Baoxiang Wang 21 0 0 06 Nov 2024
Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games Jing Dong Baoxiang Wang Yaoliang Yu 37 0 0 04 Apr 2024
Learning Optimal Tax Design in Nonatomic Congestion Games Qiwen Cui Maryam Fazel S. S. Du 27 2 0 12 Feb 2024
Taming the Exponential Action Set: Sublinear Regret and Fast Convergence to Nash Equilibrium in Online Congestion Games Jing Dong Jingyu Wu Si-Yi Wang Baoxiang Wang Wei-Neng Chen 10 3 0 19 Jun 2023
A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning Haozhe Jiang Qiwen Cui Zhihan Xiong Maryam Fazel S. Du 11 4 0 12 Jun 2023
Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games Arnab Maiti Kevin G. Jamieson Lillian J. Ratliff 17 6 0 19 Mar 2023
Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function Approximation Qiwen Cui K. Zhang S. Du 14 23 0 07 Feb 2023
Offline congestion games: How feedback type affects data coverage requirement Haozhe Jiang Qiwen Cui Zhihan Xiong Maryam Fazel S. Du OffRL 11 1 0 24 Oct 2022