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Solving Large Sequential Games with the Excessive Gap Technique

Solving Large Sequential Games with the Excessive Gap Technique

7 October 2018
Christian Kroer
Gabriele Farina
Tuomas Sandholm
ArXiv (abs)PDFHTML

Papers citing "Solving Large Sequential Games with the Excessive Gap Technique"

23 / 23 papers shown
Title
Local and adaptive mirror descents in extensive-form games
Local and adaptive mirror descents in extensive-form games
Côme Fiegel
Pierre Ménard
Tadashi Kozuno
Rémi Munos
Vianney Perchet
Michal Valko
104
2
0
01 Sep 2023
Block-Coordinate Methods and Restarting for Solving Extensive-Form Games
Block-Coordinate Methods and Restarting for Solving Extensive-Form Games
D. Chakrabarti
Jelena Diakonikolas
Christian Kroer
63
8
0
31 Jul 2023
Adapting to game trees in zero-sum imperfect information games
Adapting to game trees in zero-sum imperfect information games
Côme Fiegel
Pierre Ménard
Tadashi Kozuno
Rémi Munos
Vianney Perchet
Michal Valko
383
10
0
23 Dec 2022
Fast Convergence of Optimistic Gradient Ascent in Network Zero-Sum
  Extensive Form Games
Fast Convergence of Optimistic Gradient Ascent in Network Zero-Sum Extensive Form Games
Georgios Piliouras
Lillian J. Ratliff
Ryann Sim
Stratis Skoulakis
MLT
69
3
0
18 Jul 2022
Solving optimization problems with Blackwell approachability
Solving optimization problems with Blackwell approachability
Julien Grand-Clément
Christian Kroer
45
5
0
24 Feb 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
Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the
  Gap Between Learning in Extensive-Form and Normal-Form Games
Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games
Gabriele Farina
Chung-Wei Lee
Haipeng Luo
Christian Kroer
46
32
0
01 Feb 2022
Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning
  via Clairvoyant Multiplicative Weights Update
Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update
Georgios Piliouras
Ryann Sim
Stratis Skoulakis
105
23
0
29 Nov 2021
Model-Free Learning for Two-Player Zero-Sum Partially Observable Markov
  Games with Perfect Recall
Model-Free Learning for Two-Player Zero-Sum Partially Observable Markov Games with Perfect Recall
Tadashi Kozuno
Pierre Ménard
Rémi Munos
Michal Valko
126
18
0
11 Jun 2021
Conic Blackwell Algorithm: Parameter-Free Convex-Concave Saddle-Point
  Solving
Conic Blackwell Algorithm: Parameter-Free Convex-Concave Saddle-Point Solving
Julien Grand-Clément
Christian Kroer
47
5
0
27 May 2021
Better Regularization for Sequential Decision Spaces: Fast Convergence
  Rates for Nash, Correlated, and Team Equilibria
Better Regularization for Sequential Decision Spaces: Fast Convergence Rates for Nash, Correlated, and Team Equilibria
Gabriele Farina
Christian Kroer
Tuomas Sandholm
61
26
0
27 May 2021
Safe Search for Stackelberg Equilibria in Extensive-Form Games
Safe Search for Stackelberg Equilibria in Extensive-Form Games
Chun Kai Ling
Noam Brown
OffRL
31
3
0
02 Feb 2021
Faster Game Solving via Predictive Blackwell Approachability: Connecting
  Regret Matching and Mirror Descent
Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent
Gabriele Farina
Christian Kroer
Tuomas Sandholm
124
74
0
28 Jul 2020
Combining Deep Reinforcement Learning and Search for
  Imperfect-Information Games
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games
Noam Brown
A. Bakhtin
Adam Lerer
Qucheng Gong
141
134
0
27 Jul 2020
Unlocking the Potential of Deep Counterfactual Value Networks
Unlocking the Potential of Deep Counterfactual Value Networks
Ryan Zarick
Bryan Pellegrino
Noam Brown
Caleb Banister
OffRL
66
18
0
20 Jul 2020
Sparsified Linear Programming for Zero-Sum Equilibrium Finding
Sparsified Linear Programming for Zero-Sum Equilibrium Finding
B. Zhang
Tuomas Sandholm
66
10
0
05 Jun 2020
Scalable First-Order Methods for Robust MDPs
Scalable First-Order Methods for Robust MDPs
Julien Grand-Clément
Christian Kroer
106
28
0
11 May 2020
Optimistic Regret Minimization for Extensive-Form Games via Dilated
  Distance-Generating Functions
Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions
Gabriele Farina
Christian Kroer
Tuomas Sandholm
81
46
0
24 Oct 2019
Survey of Artificial Intelligence for Card Games and Its Application to
  the Swiss Game Jass
Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass
Joel Niklaus
Michele Alberti
Vinaychandran Pondenkandath
Rolf Ingold
Marcus Liwicki
34
8
0
11 Jun 2019
Increasing Iterate Averaging for Solving Saddle-Point Problems
Increasing Iterate Averaging for Solving Saddle-Point Problems
Yuan Gao
Christian Kroer
Donald Goldfarb
54
6
0
26 Mar 2019
Stable-Predictive Optimistic Counterfactual Regret Minimization
Stable-Predictive Optimistic Counterfactual Regret Minimization
Gabriele Farina
Christian Kroer
Noam Brown
Tuomas Sandholm
93
34
0
13 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
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