Unlocking the Potential of Deep Counterfactual Value Networks

20 July 2020

Papers citing "Unlocking the Potential of Deep Counterfactual Value Networks"

10 / 10 papers shown

Title
Single Deep Counterfactual Regret Minimization Eric Steinberger BDL 40 40 0 22 Jan 2019
Double Neural Counterfactual Regret Minimization Hui Li Kailiang Hu Zhibang Ge Tao Jiang Yuan Qi Le Song 49 52 0 27 Dec 2018
Deep Counterfactual Regret Minimization Noam Brown Adam Lerer Sam Gross Tuomas Sandholm 92 215 0 01 Nov 2018
Solving Large Sequential Games with the Excessive Gap Technique Christian Kroer Gabriele Farina Tuomas Sandholm 136 38 0 07 Oct 2018
Solving Imperfect-Information Games via Discounted Regret Minimization Noam Brown Tuomas Sandholm 112 167 0 11 Sep 2018
Depth-Limited Solving for Imperfect-Information Games Noam Brown Tuomas Sandholm Brandon Amos 60 80 0 21 May 2018
Safe and Nested Subgame Solving for Imperfect-Information Games Noam Brown Tuomas Sandholm 63 182 0 08 May 2017
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 135 908 0 06 Jan 2017
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
Solving Games with Functional Regret Estimation Kevin Waugh Dustin Morrill J. Andrew Bagnell Michael Bowling OffRL 56 58 0 28 Nov 2014