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Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint

Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint

7 June 2021
M. Geist
Julien Pérolat
Mathieu Laurière
Romuald Elie
Sarah Perrin
Olivier Bachem
Rémi Munos
Olivier Pietquin
ArXivPDFHTML

Papers citing "Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint"

15 / 15 papers shown
Title
Online Episodic Convex Reinforcement Learning
Online Episodic Convex Reinforcement Learning
B. Moreno
Khaled Eldowa
Pierre Gaillard
Margaux Brégère
Nadia Oudjane
OffRL
29
0
0
12 May 2025
Global Reinforcement Learning: Beyond Linear and Convex Rewards via
  Submodular Semi-gradient Methods
Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods
Ric De Santi
Manish Prajapat
Andreas Krause
36
3
0
13 Jul 2024
MetaCURL: Non-stationary Concave Utility Reinforcement Learning
MetaCURL: Non-stationary Concave Utility Reinforcement Learning
B. Moreno
Margaux Brégère
Pierre Gaillard
Nadia Oudjane
OffRL
37
0
0
30 May 2024
A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints
A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints
Bram De Cooman
Johan A. K. Suykens
28
0
0
25 Apr 2024
Population-aware Online Mirror Descent for Mean-Field Games by Deep
  Reinforcement Learning
Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning
Zida Wu
Mathieu Lauriere
Samuel Jia Cong Chua
M. Geist
Olivier Pietquin
Ankur M. Mehta
24
5
0
06 Mar 2024
On Imitation in Mean-field Games
On Imitation in Mean-field Games
Giorgia Ramponi
Pavel Kolev
Olivier Pietquin
Niao He
Mathieu Laurière
M. Geist
AI4CE
30
0
0
26 Jun 2023
Networked Communication for Decentralised Agents in Mean-Field Games
Networked Communication for Decentralised Agents in Mean-Field Games
Patrick Benjamin
Alessandro Abate
FedML
40
2
0
05 Jun 2023
Improved Policy Optimization for Online Imitation Learning
Improved Policy Optimization for Online Imitation Learning
J. Lavington
Sharan Vaswani
Mark W. Schmidt
OffRL
15
6
0
29 Jul 2022
Challenging Common Assumptions in Convex Reinforcement Learning
Challenging Common Assumptions in Convex Reinforcement Learning
Mirco Mutti
Ric De Santi
Piersilvio De Bartolomeis
Marcello Restelli
OffRL
24
21
0
03 Feb 2022
Generalization in Mean Field Games by Learning Master Policies
Generalization in Mean Field Games by Learning Master Policies
Sarah Perrin
Mathieu Laurière
Julien Pérolat
Romuald Élie
M. Geist
Olivier Pietquin
AI4CE
81
35
0
20 Sep 2021
Exploration noise for learning linear-quadratic mean field games
Exploration noise for learning linear-quadratic mean field games
François Delarue
A. Vasileiadis
MLT
21
11
0
02 Jul 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
M. Geist
K. Tuyls
Olivier Pietquin
LRM
AI4CE
53
45
0
28 Feb 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep
  Reinforcement Learning
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
Kai Cui
Heinz Koeppl
62
91
0
02 Feb 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
337
1,951
0
04 May 2020
Frank-Wolfe Algorithms for Saddle Point Problems
Frank-Wolfe Algorithms for Saddle Point Problems
Gauthier Gidel
Tony Jebara
Simon Lacoste-Julien
37
70
0
25 Oct 2016
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