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Learning in Games with Progressive Hiding
v1v2v3 (latest)

Learning in Games with Progressive Hiding

5 September 2024
Benjamin Heymann
Marc Lanctot
ArXiv (abs)PDFHTML

Papers citing "Learning in Games with Progressive Hiding"

12 / 12 papers shown
Title
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement
  Learning
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning
Julien Perolat
Bart De Vylder
Daniel Hennes
Eugene Tarassov
Florian Strub
...
Rémi Munos
David Silver
Satinder Singh
Demis Hassabis
K. Tuyls
101
205
0
30 Jun 2022
Solving Common-Payoff Games with Approximate Policy Iteration
Solving Common-Payoff Games with Approximate Policy Iteration
Samuel Sokota
Edward Lockhart
Finbarr Timbers
Elnaz Davoodi
Ryan DÓrazio
Neil Burch
Martin Schmid
Michael Bowling
Marc Lanctot
93
22
0
11 Jan 2021
From Poincaré Recurrence to Convergence in Imperfect Information
  Games: Finding Equilibrium via Regularization
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
Julien Perolat
Rémi Munos
Jean-Baptiste Lespiau
Shayegan Omidshafiei
Mark Rowland
...
David Balduzzi
Bart De Vylder
Georgios Piliouras
Marc Lanctot
K. Tuyls
72
85
0
19 Feb 2020
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
Hengyuan Hu
Jakob N. Foerster
OffRL
87
82
0
04 Dec 2019
OpenSpiel: A Framework for Reinforcement Learning in Games
OpenSpiel: A Framework for Reinforcement Learning in Games
Marc Lanctot
Edward Lockhart
Jean-Baptiste Lespiau
V. Zambaldi
Satyaki Upadhyay
...
Julian Schrittwieser
Thomas W. Anthony
Edward Hughes
Ivo Danihelka
Jonah Ryan-Davis
OffRL
133
254
0
26 Aug 2019
Improving Search with Supervised Learning in Trick-Based Card Games
Improving Search with Supervised Learning in Trick-Based Card Games
Christopher Solinas
Douglas Rebstock
M. Buro
48
15
0
22 Mar 2019
The Hanabi Challenge: A New Frontier for AI Research
The Hanabi Challenge: A New Frontier for AI Research
Nolan Bard
Jakob N. Foerster
A. Chandar
Neil Burch
Marc Lanctot
...
Iain Dunning
Shibl Mourad
Hugo Larochelle
Marc G. Bellemare
Michael Bowling
LLMAG
97
355
0
01 Feb 2019
Deep Counterfactual Regret Minimization
Deep Counterfactual Regret Minimization
Noam Brown
Adam Lerer
Sam Gross
Tuomas Sandholm
183
215
0
01 Nov 2018
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
Bayes' Bluff: Opponent Modelling in Poker
Bayes' Bluff: Opponent Modelling in Poker
F. Southey
Michael Bowling
Bryce Larson
Carmelo Piccione
Neil Burch
Darse Billings
D. C. Rayner
180
262
0
04 Jul 2012
No-Regret Learning in Extensive-Form Games with Imperfect Recall
No-Regret Learning in Extensive-Form Games with Imperfect Recall
Marc Lanctot
Richard G. Gibson
Neil Burch
Martin A. Zinkevich
Michael Bowling
OffRL
89
81
0
03 May 2012
GIB: Imperfect Information in a Computationally Challenging Game
GIB: Imperfect Information in a Computationally Challenging Game
Matthew L. Ginsberg
95
148
0
03 Jun 2011
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