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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The Hanabi Challenge: A New Frontier for AI Research Nolan Bard Jakob N. Foerster A. Chandar Neil Burch Marc Lanctot ... Iain Dunning Shibl Mourad Hugo Larochelle Marc G. Bellemare Michael Bowling LLMAG 43 351 0 01 Feb 2019
Combinational Q-Learning for Dou Di Zhu Yang You Liangwei Li B. Guo Weiming Wang Cewu Lu OffRL 32 13 0 24 Jan 2019
Single Deep Counterfactual Regret Minimization Eric Steinberger BDL 31 40 0 22 Jan 2019
Computing large market equilibria using abstractions Christian Kroer A. Peysakhovich Eric Sodomka Nicolas Stier-Moses 38 31 0 18 Jan 2019
Personal Universes: A Solution to the Multi-Agent Value Alignment Problem Roman V. Yampolskiy 65 13 0 01 Jan 2019
Double Neural Counterfactual Regret Minimization Hui Li Kailiang Hu Zhibang Ge Tao Jiang Yuan Qi Le Song 40 52 0 27 Dec 2018
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 104 1,242 0 30 Nov 2018
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 68 1,416 0 12 Nov 2018
T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction Ling Zhao Yujiao Song Chao Zhang Yu Liu Pu Wang Tao Lin Min Deng Haifeng Li AI4TS 59 2,004 0 12 Nov 2018
On the Complexity of Reconnaissance Blind Chess Jared Markowitz Matthieu de Rochemonteix Ashley J. Llorens 34 11 0 07 Nov 2018
Regret Circuits: Composability of Regret Minimizers Krishna Kumar Singh Aron Sarmasi Tuomas Sandholm 28 3 0 06 Nov 2018
Deep Reinforcement Learning for Green Security Games with Real-Time Information Yufei Wang Zheyuan Ryan Shi Lantao Yu Yi Wu Rohit Singh Lucas Joppa Fei Fang 35 74 0 06 Nov 2018
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster H. F. Song Edward Hughes Neil Burch Iain Dunning Shimon Whiteson M. Botvinick Michael Bowling 46 148 0 04 Nov 2018
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments S. Srinivasan Marc Lanctot V. Zambaldi Julien Perolat K. Tuyls Rémi Munos Michael Bowling 32 148 0 21 Oct 2018
Fast deep reinforcement learning using online adjustments from the past Steven Hansen Pablo Sprechmann Alexander Pritzel André Barreto Charles Blundell TTA OffRL OnRL 36 42 0 18 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 94 144 0 15 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 61 558 0 12 Oct 2018
Lazy-CFR: fast and near optimal regret minimization for extensive games with imperfect information Yichi Zhou Tongzheng Ren J. Li Dong Yan Jun Zhu 47 13 0 10 Oct 2018
Solving Large Sequential Games with the Excessive Gap Technique Christian Kroer Gabriele Farina Tuomas Sandholm 90 38 0 07 Oct 2018
Solving Large Extensive-Form Games with Strategy Constraints Trevor Davis Kevin Waugh Michael Bowling 28 12 0 20 Sep 2018
Solving Imperfect-Information Games via Discounted Regret Minimization Noam Brown Tuomas Sandholm 100 166 0 11 Sep 2018
Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games Gabriele Farina Christian Kroer Tuomas Sandholm 53 59 0 10 Sep 2018
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines Martin Schmid Neil Burch Marc Lanctot Matej Moravcík Rudolf Kadlec Michael Bowling 105 64 0 09 Sep 2018
Single-Microphone Speech Enhancement and Separation Using Deep Learning Morten Kolbaek 37 7 0 31 Aug 2018
Application of Self-Play Reinforcement Learning to a Four-Player Game of Imperfect Information Henry Charlesworth SSL 18 12 0 30 Aug 2018
ExIt-OOS: Towards Learning from Planning in Imperfect Information Games Andy Kitchen Michela Benedetti OnRL LRM 18 1 0 30 Aug 2018
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games Per-Arne Andersen M. G. Olsen Ole-Christoffer Granmo VLM AI4CE 26 46 0 15 Aug 2018
Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms M. Świechowski T. Tajmajer Andrzej Janusz BDL 73 59 0 14 Aug 2018
Small Sample Learning in Big Data Era Jun Shu Zongben Xu Deyu Meng 64 71 0 14 Aug 2018
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning Max Jaderberg Wojciech M. Czarnecki Iain Dunning Luke Marris Guy Lever ... Joel Z Leibo David Silver Demis Hassabis Koray Kavukcuoglu T. Graepel OffRL 71 717 0 03 Jul 2018
Analysis and Optimization of Deep Counterfactual Value Networks Patryk Hopner E. Mencía 6 4 0 02 Jul 2018
Beyond Winning and Losing: Modeling Human Motivations and Behaviors Using Inverse Reinforcement Learning Baoxiang Wang Tongfang Sun X. Zheng OffRL 22 9 0 01 Jul 2018
PAC-learning in the presence of evasion adversaries Daniel Cullina A. Bhagoji Prateek Mittal AAML 51 54 0 05 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 421 3,101 0 04 Jun 2018
On self-play computation of equilibrium in poker M. Goykhman 14 1 0 23 May 2018
Depth-Limited Solving for Imperfect-Information Games Noam Brown Tuomas Sandholm Brandon Amos 47 80 0 21 May 2018
What game are we playing? End-to-end learning in normal and extensive form games Chun Kai Ling Fei Fang J. Zico Kolter 64 84 0 07 May 2018
Successful Nash Equilibrium Agent for a 3-Player Imperfect-Information Game Sam Ganzfried Austin Nowak Joannier Pinales 16 3 0 13 Apr 2018
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning Kun Shao Yuanheng Zhu Dongbin Zhao 126 171 0 03 Apr 2018
Artificial Intelligence and Robotics Javier Andreu-Perez Fani Deligianni D. Ravì Guang-Zhong Yang 49 195 0 28 Mar 2018
Hierarchical Reinforcement Learning: Approximating Optimal Discounted TSP Using Local Policies Tom Zahavy Avinatan Hassidim Haim Kaplan Yishay Mansour 22 1 0 13 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 82 1,308 0 12 Mar 2018
Sim-to-Real Optimization of Complex Real World Mobile Network with Imperfect Information via Deep Reinforcement Learning from Self-play Yongxi Tan Jin Yang Xin Chen Qitao Song Yunjun Chen Zhangxiang Ye Zhenqiang Su 24 2 0 18 Feb 2018
Innateness, AlphaZero, and Artificial Intelligence G. Marcus 62 73 0 17 Jan 2018
Multi-platform Version of StarCraft: Brood War in a Docker Container: Technical Report Michal Sustr J. Maly Michal Čertický 21 4 0 07 Jan 2018
Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data D. George Eliu A. Huerta 44 301 0 08 Nov 2017
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning Marc Lanctot V. Zambaldi A. Gruslys Angeliki Lazaridou K. Tuyls Julien Perolat David Silver T. Graepel 82 628 0 02 Nov 2017
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models Wojciech Samek Thomas Wiegand K. Müller XAI VLM 53 1,186 0 28 Aug 2017
Understanding and Comparing Deep Neural Networks for Age and Gender Classification Sebastian Lapuschkin Alexander Binder K. Müller Wojciech Samek CVBM 58 135 0 25 Aug 2017
Safe and Nested Subgame Solving for Imperfect-Information Games Noam Brown Tuomas Sandholm 44 182 0 08 May 2017