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Alternative Function Approximation Parameterizations for Solving Games:
  An Analysis of $f$-Regression Counterfactual Regret Minimization
v1v2v3v4v5 (latest)

Alternative Function Approximation Parameterizations for Solving Games: An Analysis of fff-Regression Counterfactual Regret Minimization

6 December 2019
Ryan DÓrazio
Dustin Morrill
J. R. Wright
Michael Bowling
ArXiv (abs)PDFHTML

Papers citing "Alternative Function Approximation Parameterizations for Solving Games: An Analysis of $f$-Regression Counterfactual Regret Minimization"

4 / 4 papers shown
Title
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games: Corrections
Dustin Morrill
Ryan DÓrazio
Marc Lanctot
J. R. Wright
Michael Bowling
Amy Greenwald
124
21
0
24 May 2022
Learning to Be Cautious
Learning to Be Cautious
Montaser Mohammedalamen
Dustin Morrill
Alexander Sieusahai
Yash Satsangi
Michael Bowling
66
3
0
29 Oct 2021
Algorithms in Multi-Agent Systems: A Holistic Perspective from
  Reinforcement Learning and Game Theory
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory
Yunlong Lu
Kai Yan
AI4CE
172
13
0
17 Jan 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
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