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Two-Player Zero-Sum Differential Games with One-Sided Information

Two-Player Zero-Sum Differential Games with One-Sided Information

17 February 2025
Mukesh Ghimire
Z. Xu
Yi Ren
    SyDa
ArXiv (abs)PDFHTML

Papers citing "Two-Player Zero-Sum Differential Games with One-Sided Information"

10 / 10 papers shown
Title
TacticAI: an AI assistant for football tactics
TacticAI: an AI assistant for football tacticsNature Communications (Nat. Commun.), 2023
Zhe Wang
Petar Velickovic
Daniel Hennes
Nenad Tomašev
Laurel Prince
...
Pol Moreno
N. Heess
Michael Bowling
Demis Hassabis
K. Tuyls
306
70
0
16 Oct 2023
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave
  Minimax Optimization
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax OptimizationNeural Information Processing Systems (NeurIPS), 2022
Taoli Zheng
Lingling Zhu
Anthony Man-Cho So
Jose H. Blanchet
Jiajin Li
456
24
0
26 Dec 2022
Student of Games: A unified learning algorithm for both perfect and
  imperfect information games
Student of Games: A unified learning algorithm for both perfect and imperfect information gamesScience Advances (Sci Adv), 2021
Martin Schmid
Matej Moravcík
Neil Burch
Rudolf Kadlec
Josh Davidson
...
Marc Lanctot
G. Z. Holland
Elnaz Davoodi
Alden Christianson
Michael Bowling
250
28
0
06 Dec 2021
Fast Policy Extragradient Methods for Competitive Games with Entropy
  Regularization
Fast Policy Extragradient Methods for Competitive Games with Entropy RegularizationNeural Information Processing Systems (NeurIPS), 2021
Shicong Cen
Yuting Wei
Yuejie Chi
331
90
0
31 May 2021
Combining Deep Reinforcement Learning and Search for
  Imperfect-Information Games
Combining Deep Reinforcement Learning and Search for Imperfect-Information GamesNeural Information Processing Systems (NeurIPS), 2020
Noam Brown
A. Bakhtin
Adam Lerer
Qucheng Gong
281
158
0
27 Jul 2020
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 RegularizationInternational Conference on Machine Learning (ICML), 2020
Julien Perolat
Rémi Munos
Jean-Baptiste Lespiau
Shayegan Omidshafiei
Mark Rowland
...
David Balduzzi
Bart De Vylder
Georgios Piliouras
Marc Lanctot
K. Tuyls
183
97
0
19 Feb 2020
Deep Counterfactual Regret Minimization
Deep Counterfactual Regret Minimization
Noam Brown
Adam Lerer
Sam Gross
Tuomas Sandholm
471
230
0
01 Nov 2018
Mastering Chess and Shogi by Self-Play with a General Reinforcement
  Learning Algorithm
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
David Silver
Thomas Hubert
Julian Schrittwieser
Ioannis Antonoglou
Matthew Lai
...
D. Kumaran
T. Graepel
Timothy Lillicrap
Karen Simonyan
Demis Hassabis
397
1,953
0
05 Dec 2017
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
Marc Lanctot
V. Zambaldi
A. Gruslys
Angeliki Lazaridou
K. Tuyls
Julien Perolat
David Silver
T. Graepel
321
677
0
02 Nov 2017
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
500
957
0
06 Jan 2017
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