DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker

6 January 2017

Michael Bradley Johanson

Michael Bowling

BDL

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Papers citing "DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker"

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Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning A. Celli Marco Ciccone Raffaele Bongo N. Gatti 37 12 0 16 Dec 2019
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 92 1,811 0 13 Dec 2019
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of $f$ -Regression Counterfactual Regret Minimization Ryan DÓrazio Dustin Morrill J. R. Wright Michael Bowling 25 10 0 06 Dec 2019
Improving Policies via Search in Cooperative Partially Observable Games Adam Lerer Hengyuan Hu Jakob N. Foerster Noam Brown 46 78 0 05 Dec 2019
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning Hengyuan Hu Jakob N. Foerster OffRL 35 82 0 04 Dec 2019
Improving Fictitious Play Reinforcement Learning with Expanding Models Rongjun Qin Jing-Cheng Pang Yang Yu 14 1 0 27 Nov 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kai Zhang Zhuoran Yang Tamer Basar 121 1,197 0 24 Nov 2019
Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium Gabriele Farina Chun Kai Ling Fei Fang Tuomas Sandholm 44 15 0 28 Oct 2019
Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions Gabriele Farina Christian Kroer Tuomas Sandholm 42 46 0 24 Oct 2019
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games Zuyue Fu Zhuoran Yang Yongxin Chen Zhaoran Wang 86 54 0 16 Oct 2019
Visual Hide and Seek Boyuan Chen Shuran Song Hod Lipson Carl Vondrick 42 22 0 15 Oct 2019
RLCard: A Toolkit for Reinforcement Learning in Card Games Daochen Zha Kwei-Herng Lai Yuanpu Cao Songyi Huang Ruzhe Wei Junyu Guo Xia Hu OffRL 44 58 0 10 Oct 2019
Combining No-regret and Q-learning Ian A. Kash Michael Sullins Katja Hofmann OffRL 45 16 0 07 Oct 2019
Bounds for Approximate Regret-Matching Algorithms Scott Fujimoto Dustin Morrill J. R. Wright 44 3 0 03 Oct 2019
Mistakes in Games Sam Ganzfried 11 3 0 01 Oct 2019
Lower Bounds on Adversarial Robustness from Optimal Transport A. Bhagoji Daniel Cullina Prateek Mittal OOD OT AAML 48 92 0 26 Sep 2019
Towards Explainable Artificial Intelligence Wojciech Samek K. Müller XAI 53 442 0 26 Sep 2019
Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games Macheng Shen Jonathan P. How AAML 44 19 0 18 Sep 2019
No Press Diplomacy: Modeling Multi-Agent Gameplay Philip Paquette Yuchen Lu Steven Bocco Max O. Smith Satya Ortiz-Gagné Jonathan K. Kummerfeld Satinder Singh Joelle Pineau Aaron Courville 47 58 0 04 Sep 2019
OpenSpiel: A Framework for Reinforcement Learning in Games Marc Lanctot Edward Lockhart Jean-Baptiste Lespiau V. Zambaldi Satyaki Upadhyay ... Julian Schrittwieser Thomas W. Anthony Edward Hughes Ivo Danihelka Jonah Ryan-Davis OffRL 51 249 0 26 Aug 2019
Low-Variance and Zero-Variance Baselines for Extensive-Form Games Trevor Davis Martin Schmid Michael Bowling OffRL 35 19 0 22 Jul 2019
An Optimistic Perspective on Offline Reinforcement Learning Rishabh Agarwal Dale Schuurmans Mohammad Norouzi OffRL OnRL 52 69 0 10 Jul 2019
Robust and Resource Efficient Identification of Two Hidden Layer Neural Networks M. Fornasier T. Klock Michael Rauchensteiner 47 18 0 30 Jun 2019
Rethinking Formal Models of Partially Observable Multiagent Decision Making Vojtěch Kovařík Martin Schmid Neil Burch Michael Bowling Viliam Lisý OffRL 81 54 0 26 Jun 2019
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 29 8 0 11 Jun 2019
Most Important Fundamental Rule of Poker Strategy Sam Ganzfried Max Chiswick 16 3 0 08 Jun 2019
Finding Friend and Foe in Multi-Agent Games Jack Serrino Max Kleiman-Weiner David C. Parkes J. Tenenbaum 40 59 0 05 Jun 2019
Neural Replicator Dynamics Daniel Hennes Dustin Morrill Shayegan Omidshafiei Rémi Munos Julien Perolat ... A. Gruslys Jean-Baptiste Lespiau Paavo Parmas Edgar A. Duénez-Guzmán K. Tuyls 31 16 0 01 Jun 2019
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 83 1 0 31 May 2019
Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks Gabriele Farina Chun Kai Ling Fei Fang Tuomas Sandholm 20 42 0 29 May 2019
LeTS-Drive: Driving in a Crowd by Learning from Tree Search Panpan Cai Yuanfu Luo Aseem Saxena David Hsu Wee Sun Lee 30 30 0 29 May 2019
Policy Based Inference in Trick-Taking Card Games Douglas Rebstock Christopher Solinas M. Buro Nathan R Sturtevant 17 13 0 27 May 2019
Learning Policies from Human Data for Skat Douglas Rebstock Christopher Solinas M. Buro OffRL 16 11 0 27 May 2019
Privacy Risks of Securing Machine Learning Models against Adversarial Examples Liwei Song Reza Shokri Prateek Mittal SILM MIACV AAML 27 237 0 24 May 2019
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence Yuhang Song Andrzej Wojcicki Thomas Lukasiewicz Jianyi Wang Abi Aryan Zhenghua Xu Mai Xu Zihan Ding Lianlong Wu AI4CE ELM 50 33 0 17 May 2019
Generative Reversible Data Hiding by Image to Image Translation via GANs Zhuo Zhang Guangyuan Fu Fuqiang Di Changlong Li Jia-Wei Liu GAN 13 30 0 08 May 2019
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples Vikash Sehwag A. Bhagoji Liwei Song Chawin Sitawarin Daniel Cullina M. Chiang Prateek Mittal OODD 55 26 0 05 May 2019
Solving zero-sum extensive-form games with arbitrary payoff uncertainty models Juan Leni J. Levine J. Quigley 22 0 0 24 Apr 2019
Method for Constructing Artificial Intelligence Player with Abstraction to Markov Decision Processes in Multiplayer Game of Mahjong Moyuru Kurita K. Hoki 19 16 0 16 Apr 2019
VRGym: A Virtual Testbed for Physical and Interactive AI Xu Xie Hangxin Liu Zhenliang Zhang Yuxing Qiu Feng Gao Siyuan Qi Yixin Zhu Song-Chun Zhu 37 27 0 02 Apr 2019
Increasing Iterate Averaging for Solving Saddle-Point Problems Yuan Gao Christian Kroer Donald Goldfarb 26 6 0 26 Mar 2019
Improving Search with Supervised Learning in Trick-Based Card Games Christopher Solinas Douglas Rebstock M. Buro 16 15 0 22 Mar 2019
Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent Edward Lockhart Marc Lanctot Julien Pérolat Jean-Baptiste Lespiau Dustin Morrill Finbarr Timbers K. Tuyls 114 82 0 13 Mar 2019
Concurrent Meta Reinforcement Learning Emilio Parisotto Soham Ghosh S. Yalamanchi Varsha Chinnaobireddy Yuhuai Wu Ruslan Salakhutdinov LRM 42 17 0 07 Mar 2019
$α$ -Rank: Multi-Agent Evaluation by Evolution Shayegan Omidshafiei Christos H. Papadimitriou Georgios Piliouras K. Tuyls Mark Rowland Jean-Baptiste Lespiau Wojciech M. Czarnecki Marc Lanctot Julien Perolat Rémi Munos 50 120 0 04 Mar 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn Sebastian Lapuschkin S. Wäldchen Alexander Binder G. Montavon Wojciech Samek K. Müller 71 1,005 0 26 Feb 2019
Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies Tom Zahavy Avinatan Hassidim Haim Kaplan Yishay Mansour OffRL 42 7 0 26 Feb 2019
World Discovery Models M. G. Azar Bilal Piot Bernardo Avila-Pires Jean-Bastien Grill Florent Altché Rémi Munos 56 26 0 20 Feb 2019
Limited Lookahead in Imperfect-Information Games Christian Kroer Tuomas Sandholm 16 14 0 17 Feb 2019
Stable-Predictive Optimistic Counterfactual Regret Minimization Gabriele Farina Christian Kroer Noam Brown Tuomas Sandholm 56 34 0 13 Feb 2019