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2112.13521
Cited By
Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopic Followers?
27 December 2021
Han Zhong
Zhuoran Yang
Zhaoran Wang
Sai Li
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Papers citing
"Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopic Followers?"
22 / 22 papers shown
The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability
Jiachen Hu
Rui Ai
Han Zhong
Xiaoyu Chen
L. Wang
Zhaoran Wang
Zhuoran Yang
247
0
0
11 Jun 2025
On Corruption-Robustness in Performative Reinforcement Learning
AAAI Conference on Artificial Intelligence (AAAI), 2025
Vasilis Pollatos
Debmalya Mandal
Goran Radanović
441
6
0
08 May 2025
Model Selection for Average Reward RL with Application to Utility Maximization in Repeated Games
Alireza Masoumian
James R. Wright
578
2
0
09 Nov 2024
ReLExS: Reinforcement Learning Explanations for Stackelberg No-Regret Learners
Xiangge Huang
Jingyuan Li
Jiaqing Xie
206
0
0
26 Aug 2024
Learning Macroeconomic Policies through Dynamic Stackelberg Mean-Field Games
Qirui Mi
Zhiyu Zhao
Siyu Xia
Yan Song
Jun Wang
Mengyue Yang
Jun Wang
Haifeng Zhang
344
1
0
14 Mar 2024
Performative Reinforcement Learning in Gradually Shifting Environments
Ben Rank
Stelios Triantafyllou
Debmalya Mandal
Goran Radanović
OffRL
448
10
0
15 Feb 2024
Learning Optimal Tax Design in Nonatomic Congestion Games
Neural Information Processing Systems (NeurIPS), 2024
Qiwen Cui
Maryam Fazel
S. S. Du
373
3
0
12 Feb 2024
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback
International Conference on Learning Representations (ICLR), 2023
Souradip Chakraborty
Amrit Singh Bedi
Alec Koppel
Dinesh Manocha
Huazheng Wang
Mengdi Wang
Furong Huang
422
41
0
03 Aug 2023
Differentiable Arbitrating in Zero-sum Markov Games
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Jing Wang
Meichen Song
Feng Gao
Boyi Liu
Zhaoran Wang
Yi Wu
415
2
0
20 Feb 2023
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback
Neural Information Processing Systems (NeurIPS), 2023
Yunchang Yang
Hangshi Zhong
Tianhao Wu
B. Liu
Liwei Wang
S. Du
OffRL
599
10
0
03 Feb 2023
Decentralized Online Bandit Optimization on Directed Graphs with Regret Bounds
Johan Ostman
Ather Gattami
D. Gillblad
243
1
0
27 Jan 2023
Online Learning in Stackelberg Games with an Omniscient Follower
International Conference on Machine Learning (ICML), 2023
Geng Zhao
Banghua Zhu
Jiantao Jiao
Michael I. Jordan
759
20
0
27 Jan 2023
Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints
International Conference on Machine Learning (ICML), 2023
Yuantong Li
Guang Cheng
Xiaowu Dai
465
8
0
24 Jan 2023
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games
AAAI Conference on Artificial Intelligence (AAAI), 2022
Chun Kai Ling
J. Zico Kolter
Fei Fang
276
2
0
29 Dec 2022
Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information
Management Sciences (MS), 2022
Zuyue Fu
Zhengling Qi
Zhuoran Yang
Zhaoran Wang
Lan Wang
OffRL
222
1
0
23 Dec 2022
Provably Efficient Model-free RL in Leader-Follower MDP with Linear Function Approximation
Conference on Learning for Dynamics & Control (L4DC), 2022
A. Ghosh
285
2
0
28 Nov 2022
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning
International Conference on Machine Learning (ICML), 2022
M. Gerstgrasser
David C. Parkes
OffRL
542
28
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
414
6
0
07 Oct 2022
Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments
Mengxin Yu
Zhuoran Yang
Jianqing Fan
OffRL
363
9
0
23 Aug 2022
Performative Reinforcement Learning
International Conference on Machine Learning (ICML), 2022
Debmalya Mandal
Stelios Triantafyllou
Goran Radanović
460
25
0
30 Jun 2022
Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus
Neural Information Processing Systems (NeurIPS), 2022
Qiwen Cui
S. Du
OffRL
259
24
0
01 Jun 2022
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets
International Conference on Machine Learning (ICML), 2022
Han Zhong
Wei Xiong
Jiyuan Tan
Liwei Wang
Tong Zhang
Zhaoran Wang
Zhuoran Yang
OffRL
250
43
0
15 Feb 2022
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