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Towards convergence to Nash equilibria in two-team zero-sum games
v1v2v3v4 (latest)

Towards convergence to Nash equilibria in two-team zero-sum games

7 November 2021
Fivos Kalogiannis
Ioannis Panageas
Emmanouil-Vasileios Vlatakis-Gkaragkounis
ArXiv (abs)PDFHTMLGithub

Papers citing "Towards convergence to Nash equilibria in two-team zero-sum games"

2 / 2 papers shown
A Value Based Parallel Update MCTS Method for Multi-Agent Cooperative Decision Making of Connected and Automated Vehicles
A Value Based Parallel Update MCTS Method for Multi-Agent Cooperative Decision Making of Connected and Automated Vehicles
Ye Han
Lijun Zhang
Dejian Meng
Zhuang Zhang
Xingyu Hu
Songyu Weng
237
4
0
20 Sep 2024
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
680
990
0
06 Jan 2017
1
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