Unlocking the Potential of Deep Counterfactual Value Networks

20 July 2020

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

7 / 7 papers shown

Title
RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning Boning Li Zhixuan Fang Longbo Huang 18 0 0 07 Mar 2024
The Update-Equivalence Framework for Decision-Time Planning Samuel Sokota Gabriele Farina David J. Wu Hengyuan Hu Kevin A. Wang J. Zico Kolter Noam Brown 23 3 0 25 Apr 2023
Learning not to Regret David Sychrovský Michal Sustr Elnaz Davoodi Michael Bowling Marc Lanctot Martin Schmid 29 3 0 02 Mar 2023
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games Samuel Sokota Ryan DÓrazio Chun Kai Ling David J. Wu J. Zico Kolter Noam Brown 27 4 0 22 Jan 2023
Student of Games: A unified learning algorithm for both perfect and imperfect information games Martin Schmid Matej Moravcík Neil Burch Rudolf Kadlec Josh Davidson ... Marc Lanctot G. Z. Holland Elnaz Davoodi Alden Christianson Michael Bowling 27 20 0 06 Dec 2021
OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research Kai Li Hang Xu Enmin Zhao Zhe Wu Junliang Xing VLM 16 0 0 11 Dec 2020
Value Functions for Depth-Limited Solving in Zero-Sum Imperfect-Information Games Vojtěch Kovařík Dominik Seitz Viliam Lisý Jan Rudolf Shuo Sun Karel Ha FAtt 13 1 0 31 May 2019