ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2004.00603
  4. Cited By
No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
v1v2v3v4v5 (latest)

No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium

1 April 2020
A. Celli
A. Marchesi
Gabriele Farina
N. Gatti
ArXiv (abs)PDFHTML

Papers citing "No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium"

17 / 17 papers shown
Title
Learning in Multi-Player Stochastic Games
Learning in Multi-Player Stochastic Games
William Brown
22
0
0
25 Oct 2022
Learning Rationalizable Equilibria in Multiplayer Games
Learning Rationalizable Equilibria in Multiplayer Games
Yuanhao Wang
Dingwen Kong
Yunru Bai
Chi Jin
51
1
0
20 Oct 2022
Learning Correlated Equilibria in Mean-Field Games
Learning Correlated Equilibria in Mean-Field Games
Paul Muller
Romuald Elie
Mark Rowland
Mathieu Lauriere
Julien Perolat
Sarah Perrin
Matthieu Geist
Georgios Piliouras
Olivier Pietquin
K. Tuyls
85
6
0
22 Aug 2022
A Survey of Decision Making in Adversarial Games
A Survey of Decision Making in Adversarial Games
Xiuxian Li
Min Meng
Yiguang Hong
Jie-bin Chen
AAML
97
15
0
16 Jul 2022
A Simple Adaptive Procedure Converging to Forgiving Correlated
  Equilibria
A Simple Adaptive Procedure Converging to Forgiving Correlated Equilibria
Hugh Zhang
66
4
0
13 Jul 2022
A Marriage between Adversarial Team Games and 2-player Games: Enabling
  Abstractions, No-regret Learning, and Subgame Solving
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving
Luca Carminati
Federico Cacciamani
Marco Ciccone
N. Gatti
56
16
0
18 Jun 2022
Efficient Phi-Regret Minimization in Extensive-Form Games via Online
  Mirror Descent
Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent
Yu Bai
Chi Jin
Song Mei
Ziang Song
Tiancheng Yu
OffRL
103
19
0
30 May 2022
Optimal Correlated Equilibria in General-Sum Extensive-Form Games:
  Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation
Optimal Correlated Equilibria in General-Sum Extensive-Form Games: Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation
B. Zhang
Gabriele Farina
A. Celli
Tuomas Sandholm
81
22
0
14 Mar 2022
Near-Optimal Learning of Extensive-Form Games with Imperfect Information
Near-Optimal Learning of Extensive-Form Games with Imperfect Information
Yunru Bai
Chi Jin
Song Mei
Tiancheng Yu
104
26
0
03 Feb 2022
V-Learning -- A Simple, Efficient, Decentralized Algorithm for
  Multiagent RL
V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL
Chi Jin
Qinghua Liu
Yuanhao Wang
Tiancheng Yu
OffRL
90
132
0
27 Oct 2021
Evolutionary Dynamics and $Φ$-Regret Minimization in Games
Evolutionary Dynamics and ΦΦΦ-Regret Minimization in Games
Georgios Piliouras
Mark Rowland
Shayegan Omidshafiei
Romuald Elie
Daniel Hennes
Jerome T. Connor
K. Tuyls
56
2
0
28 Jun 2021
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium
  Meta-Solvers
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
Luke Marris
Paul Muller
Marc Lanctot
K. Tuyls
T. Graepel
93
36
0
17 Jun 2021
Simple Uncoupled No-Regret Learning Dynamics for Extensive-Form
  Correlated Equilibrium
Simple Uncoupled No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
Gabriele Farina
A. Celli
A. Marchesi
N. Gatti
77
34
0
04 Apr 2021
Hindsight and Sequential Rationality of Correlated Play
Hindsight and Sequential Rationality of Correlated Play
Dustin Morrill
Ryan DÓrazio
Reca Sarfati
Marc Lanctot
James Wright
Amy Greenwald
Michael Bowling
92
31
0
10 Dec 2020
Polynomial-Time Computation of Optimal Correlated Equilibria in
  Two-Player Extensive-Form Games with Public Chance Moves and Beyond
Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond
Gabriele Farina
Tuomas Sandholm
75
17
0
09 Sep 2020
DREAM: Deep Regret minimization with Advantage baselines and Model-free
  learning
DREAM: Deep Regret minimization with Advantage baselines and Model-free learning
Eric Steinberger
Adam Lerer
Noam Brown
132
54
0
18 Jun 2020
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
Matej Moravcík
Martin Schmid
Neil Burch
Viliam Lisý
Dustin Morrill
Nolan Bard
Trevor Davis
Kevin Waugh
Michael Bradley Johanson
Michael Bowling
BDL
261
913
0
06 Jan 2017
1