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Steering No-Regret Agents in MFGs under Model Uncertainty

Steering No-Regret Agents in MFGs under Model Uncertainty

12 March 2025
Leo Widmer
Jiawei Huang
Niao He
    LLMSV
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Papers citing "Steering No-Regret Agents in MFGs under Model Uncertainty"

19 / 19 papers shown
Title
Learning to Steer Markovian Agents under Model Uncertainty
Learning to Steer Markovian Agents under Model Uncertainty
Jiawei Huang
Vinzenz Thoma
Zebang Shen
H. Nax
Niao He
85
2
0
14 Jul 2024
MF-OML: Online Mean-Field Reinforcement Learning with Occupation
  Measures for Large Population Games
MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games
Anran Hu
Junzi Zhang
82
7
0
01 May 2024
Incentivized Learning in Principal-Agent Bandit Games
Incentivized Learning in Principal-Agent Bandit Games
Antoine Scheid
D. Tiapkin
Etienne Boursier
Aymeric Capitaine
El-Mahdi El-Mhamdi
Eric Moulines
Michael I. Jordan
Alain Durmus
142
9
0
06 Mar 2024
Model-Based RL for Mean-Field Games is not Statistically Harder than
  Single-Agent RL
Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL
Jiawei Huang
Niao He
Andreas Krause
72
7
0
08 Feb 2024
MESOB: Balancing Equilibria & Social Optimality
MESOB: Balancing Equilibria & Social Optimality
Xin Guo
Lihong Li
Sareh Nabi
R. Salhab
Junzi Zhang
49
3
0
16 Jul 2023
Is Learning in Games Good for the Learners?
Is Learning in Games Good for the Learners?
William Brown
Jon Schneider
Kiran Vodrahalli
54
20
0
31 May 2023
On the Statistical Efficiency of Mean Field Reinforcement Learning with
  General Function Approximation
On the Statistical Efficiency of Mean Field Reinforcement Learning with General Function Approximation
Jiawei Huang
Batuhan Yardim
Niao He
68
11
0
18 May 2023
Policy Mirror Ascent for Efficient and Independent Learning in Mean
  Field Games
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games
Batuhan Yardim
Semih Cayci
Matthieu Geist
Niao He
86
29
0
29 Dec 2022
The Sample Complexity of Online Contract Design
The Sample Complexity of Online Contract Design
Banghua Zhu
Stephen Bates
Zhuoran Yang
Yixin Wang
Jiantao Jiao
Michael I. Jordan
84
49
0
10 Nov 2022
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement
  Learning
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning
Jiachen Yang
Ethan Wang
Rakshit S. Trivedi
T. Zhao
H. Zha
64
20
0
20 Dec 2021
Solving N-player dynamic routing games with congestion: a mean field
  approach
Solving N-player dynamic routing games with congestion: a mean field approach
M. Chekol
Mathieu Lauriere
Julien Perolat
Jakob Huber
Sertan Girgin
Sarah Perrin
Olivier Pietquin
Alexandre M. Bayen
Eric Goubault
Romuald Elie
44
17
0
22 Oct 2021
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures
  Global Convergence
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence
Boyi Liu
Jiayang Li
Zhuoran Yang
Hoi-To Wai
Mingyi Hong
Y. Nie
Zhaoran Wang
95
19
0
04 Oct 2021
Scaling up Mean Field Games with Online Mirror Descent
Scaling up Mean Field Games with Online Mirror Descent
Julien Perolat
Sarah Perrin
Romuald Elie
Mathieu Laurière
Georgios Piliouras
Matthieu Geist
K. Tuyls
Olivier Pietquin
LRM
AI4CE
92
46
0
28 Feb 2021
Strategizing against No-regret Learners
Strategizing against No-regret Learners
Yuan Deng
Jon Schneider
Balasubramanian Sivan
32
61
0
30 Sep 2019
Introduction to Online Convex Optimization
Introduction to Online Convex Optimization
Elad Hazan
OffRL
172
1,929
0
07 Sep 2019
Online Convex Optimization in Adversarial Markov Decision Processes
Online Convex Optimization in Adversarial Markov Decision Processes
Aviv A. Rosenberg
Yishay Mansour
52
138
0
19 May 2019
Adaptive Mechanism Design: Learning to Promote Cooperation
Adaptive Mechanism Design: Learning to Promote Cooperation
T. Baumann
T. Graepel
John Shawe-Taylor
37
26
0
11 Jun 2018
Model-based Reinforcement Learning and the Eluder Dimension
Model-based Reinforcement Learning and the Eluder Dimension
Ian Osband
Benjamin Van Roy
89
189
0
07 Jun 2014
Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms
  for Repeated Principal-Agent Problems
Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms for Repeated Principal-Agent Problems
Chien-Ju Ho
Aleksandrs Slivkins
Jennifer Wortman Vaughan
124
147
0
12 May 2014
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