Can Reinforcement Learning Find Stackelberg-Nash Equilibria in
General-Sum Markov Games with Myopic Followers?

Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopic Followers?

27 December 2021

Michael I. Jordan

Papers citing "Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopic Followers?"

14 / 14 papers shown

Title
On Corruption-Robustness in Performative Reinforcement Learning Vasilis Pollatos Debmalya Mandal Goran Radanović 32 1 0 08 May 2025
Learning Optimal Tax Design in Nonatomic Congestion Games Qiwen Cui Maryam Fazel S. S. Du 32 2 0 12 Feb 2024
Differentiable Arbitrating in Zero-sum Markov Games Jing Wang Meichen Song Feng Gao Boyi Liu Zhaoran Wang Yi Wu 32 2 0 20 Feb 2023
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback Yunchang Yang Hangshi Zhong Tianhao Wu B. Liu Liwei Wang S. Du OffRL 27 8 0 03 Feb 2023
Online Learning in Stackelberg Games with an Omniscient Follower Geng Zhao Banghua Zhu Jiantao Jiao Michael I. Jordan 35 14 0 27 Jan 2023
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games Chun Kai Ling J. Zico Kolter Fei Fang 30 0 0 29 Dec 2022
Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information Zuyue Fu Zhengling Qi Zhuoran Yang Zhaoran Wang Lan Wang OffRL 18 0 0 23 Dec 2022
Provably Efficient Model-free RL in Leader-Follower MDP with Linear Function Approximation A. Ghosh 15 1 0 28 Nov 2022
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning M. Gerstgrasser David C. Parkes OffRL 23 19 0 19 Oct 2022
Stackelberg POMDP: A Reinforcement Learning Approach for Economic Design Gianluca Brero Alon Eden D. Chakrabarti M. Gerstgrasser Amy Greenwald Vincent Li David C. Parkes 21 2 0 07 Oct 2022
Performative Reinforcement Learning Debmalya Mandal Stelios Triantafyllou Goran Radanović 30 17 0 30 Jun 2022
Independent Policy Gradient Methods for Competitive Reinforcement Learning C. Daskalakis Dylan J. Foster Noah Golowich 62 158 0 11 Jan 2021
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints Chi Jin Zhuoran Yang Zhaoran Wang OffRL 120 166 0 06 Jan 2021
Reward-Free Exploration for Reinforcement Learning Chi Jin A. Krishnamurthy Max Simchowitz Tiancheng Yu OffRL 109 194 0 07 Feb 2020