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1701.01724
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DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
6 January 2017
Matej Moravcík
Martin Schmid
Neil Burch
Viliam Lisý
Dustin Morrill
Nolan Bard
Trevor Davis
Kevin Waugh
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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Title
Learning and Planning in Complex Action Spaces
Thomas Hubert
Julian Schrittwieser
Ioannis Antonoglou
M. Barekatain
Simon Schmitt
David Silver
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13 Apr 2021
Simple Uncoupled No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
Gabriele Farina
A. Celli
A. Marchesi
N. Gatti
38
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0
04 Apr 2021
Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games
Gabriele Farina
Tuomas Sandholm
OffRL
52
18
0
08 Mar 2021
Decision Making in Monopoly using a Hybrid Deep Reinforcement Learning Approach
Trevor Bonjour
Marina Haliem
A. Alsalem
Shilpa Thomas
Hongyu Li
Vaneet Aggarwal
Mayank Kejriwal
Bharat K. Bhargava
69
15
0
01 Mar 2021
Scaling up Mean Field Games with Online Mirror Descent
Julien Perolat
Sarah Perrin
Romuald Elie
Mathieu Laurière
Georgios Piliouras
Matthieu Geist
K. Tuyls
Olivier Pietquin
LRM
AI4CE
75
46
0
28 Feb 2021
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space
Wilko Schwarting
Tim Seyde
Igor Gilitschenski
Lucas Liebenwein
Ryan M Sander
S. Karaman
Daniela Rus
BDL
32
37
0
19 Feb 2021
Safe Search for Stackelberg Equilibria in Extensive-Form Games
Chun Kai Ling
Noam Brown
OffRL
16
3
0
02 Feb 2021
Solving Common-Payoff Games with Approximate Policy Iteration
Samuel Sokota
Edward Lockhart
Finbarr Timbers
Elnaz Davoodi
Ryan DÓrazio
Neil Burch
Martin Schmid
Michael Bowling
Marc Lanctot
52
22
0
11 Jan 2021
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach
Amin Nikanjam
Mohammad Mehdi Morovati
Foutse Khomh
Houssem Ben Braiek
95
30
0
01 Jan 2021
Learning to Play Imperfect-Information Games by Imitating an Oracle Planner
Rinu Boney
Alexander Ilin
Arno Solin
Jarno Seppänen
17
3
0
22 Dec 2020
Open Problems in Cooperative AI
Allan Dafoe
Edward Hughes
Yoram Bachrach
Tantum Collins
Kevin R. McKee
Joel Z Leibo
Kate Larson
T. Graepel
79
200
0
15 Dec 2020
BeBold: Exploration Beyond the Boundary of Explored Regions
Tianjun Zhang
Huazhe Xu
Xiaolong Wang
Yi Wu
Kurt Keutzer
Joseph E. Gonzalez
Yuandong Tian
49
40
0
15 Dec 2020
OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research
Kai Li
Hang Xu
Enmin Zhao
Zhe Wu
Junliang Xing
VLM
52
0
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11 Dec 2020
Hindsight and Sequential Rationality of Correlated Play
Dustin Morrill
Ryan DÓrazio
Reca Sarfati
Marc Lanctot
James Wright
Amy Greenwald
Michael Bowling
41
30
0
10 Dec 2020
Model-free Neural Counterfactual Regret Minimization with Bootstrap Learning
Weiming Liu
Bin Li
Julian Togelius
31
8
0
03 Dec 2020
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer
Zohreh Raziei
Mohsen Moghaddam
57
25
0
27 Nov 2020
Human-Level Performance in No-Press Diplomacy via Equilibrium Search
Jonathan Gray
Adam Lerer
A. Bakhtin
Noam Brown
50
50
0
06 Oct 2020
Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games
David Milec
Jakub Cerny
Viliam Lisý
Bo An
6
12
0
30 Sep 2020
Faster Algorithms for Optimal Ex-Ante Coordinated Collusive Strategies in Extensive-Form Zero-Sum Games
Gabriele Farina
A. Celli
N. Gatti
Tuomas Sandholm
12
3
0
21 Sep 2020
AI and Wargaming
J. Goodman
S. Risi
Simon Lucas
VLM
99
12
0
18 Sep 2020
Finding Effective Security Strategies through Reinforcement Learning and Self-Play
K. Hammar
Rolf Stadler
AAML
16
60
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17 Sep 2020
Extended Radial Basis Function Controller for Reinforcement Learning
Nicholas Capel
Naifu Zhang
19
1
0
12 Sep 2020
Learning Shape Features and Abstractions in 3D Convolutional Neural Networks for Detecting Alzheimer's Disease
M. Sagar
M. Dyrba
MedIm
13
0
0
10 Sep 2020
RLCFR: Minimize Counterfactual Regret by Deep Reinforcement Learning
Huale Li
Xinyu Wang
Fengwei Jia
Yifan Li
Yulin Wu
Jia-jia Zhang
Shuhan Qi
14
6
0
10 Sep 2020
Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond
Gabriele Farina
Tuomas Sandholm
40
16
0
09 Sep 2020
The Advantage Regret-Matching Actor-Critic
A. Gruslys
Marc Lanctot
Rémi Munos
Finbarr Timbers
Martin Schmid
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Jean-Baptiste Lespiau
John Schultz
M. G. Azar
Michael Bowling
K. Tuyls
OffRL
16
28
0
27 Aug 2020
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time
Weichen Wang
Jiequn Han
Zhuoran Yang
Zhaoran Wang
54
27
0
16 Aug 2020
Joint Policy Search for Multi-agent Collaboration with Imperfect Information
Yuandong Tian
Qucheng Gong
Tina Jiang
50
19
0
14 Aug 2020
Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent
Gabriele Farina
Christian Kroer
Tuomas Sandholm
58
72
0
28 Jul 2020
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games
Noam Brown
A. Bakhtin
Adam Lerer
Qucheng Gong
83
133
0
27 Jul 2020
Unlocking the Potential of Deep Counterfactual Value Networks
Ryan Zarick
Bryan Pellegrino
Noam Brown
Caleb Banister
OffRL
48
18
0
20 Jul 2020
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications
Sarah Perrin
Julien Perolat
Mathieu Laurière
Matthieu Geist
Romuald Elie
Olivier Pietquin
50
120
0
05 Jul 2020
Selective Dyna-style Planning Under Limited Model Capacity
Zaheer Abbas
Samuel Sokota
Erin J. Talvitie
Martha White
58
33
0
05 Jul 2020
Conscious Intelligence Requires Lifelong Autonomous Programming For General Purposes
J. Weng
NAI
CLL
8
2
0
30 Jun 2020
A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting
Jiawei Zhu
Yujiao Song
Ling Zhao
Haifeng Li
AI4TS
35
264
0
20 Jun 2020
DREAM: Deep Regret minimization with Advantage baselines and Model-free learning
Eric Steinberger
Adam Lerer
Noam Brown
61
54
0
18 Jun 2020
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
Thomas W. Anthony
Tom Eccles
Andrea Tacchetti
János Kramár
I. Gemp
...
Richard Everett
Roman Werpachowski
Satinder Singh
T. Graepel
Yoram Bachrach
48
42
0
08 Jun 2020
Approximate exploitability: Learning a best response in large games
Finbarr Timbers
Nolan Bard
Edward Lockhart
Marc Lanctot
Martin Schmid
Neil Burch
Julian Schrittwieser
Thomas Hubert
Michael Bowling
AAML
22
27
0
20 Apr 2020
Shortcut Learning in Deep Neural Networks
Robert Geirhos
J. Jacobsen
Claudio Michaelis
R. Zemel
Wieland Brendel
Matthias Bethge
Felix Wichmann
184
2,023
0
16 Apr 2020
No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
A. Celli
A. Marchesi
Gabriele Farina
N. Gatti
72
46
0
01 Apr 2020
Suphx: Mastering Mahjong with Deep Reinforcement Learning
Junjie Li
Sotetsu Koyamada
Qiwei Ye
Guoqing Liu
Chao Wang
Ruihan Yang
Li Zhao
Tao Qin
Tie-Yan Liu
H. Hon
33
124
0
30 Mar 2020
Deep Deterministic Portfolio Optimization
Ayman Chaouki
Stephen J. Hardiman
Christian Schmidt
Emmanuel Sérié
J. D. Lataillade
22
18
0
13 Mar 2020
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Massimo Caccia
Pau Rodríguez López
O. Ostapenko
Fabrice Normandin
Min Lin
...
I. Laradji
Irina Rish
Alexande Lacoste
David Vazquez
Laurent Charlin
CLL
KELM
50
66
0
12 Mar 2020
Software-Level Accuracy Using Stochastic Computing With Charge-Trap-Flash Based Weight Matrix
Varun Bhatt
S. Shalini
T. Chavan
U. Ganguly
32
4
0
09 Mar 2020
TSS: Transformation-Specific Smoothing for Robustness Certification
Linyi Li
Maurice Weber
Xiaojun Xu
Luka Rimanic
B. Kailkhura
Tao Xie
Ce Zhang
Yue Liu
AAML
65
57
0
27 Feb 2020
Stochastic Regret Minimization in Extensive-Form Games
Gabriele Farina
Christian Kroer
Tuomas Sandholm
84
29
0
19 Feb 2020
Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium
Qiaomin Xie
Yudong Chen
Zhaoran Wang
Zhuoran Yang
105
125
0
17 Feb 2020
Empirical Analysis of Fictitious Play for Nash Equilibrium Computation in Multiplayer Games
Sam Ganzfried
35
7
0
30 Jan 2020
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory
Yunlong Lu
Kai Yan
AI4CE
125
13
0
17 Jan 2020
Learning to Combat Compounding-Error in Model-Based Reinforcement Learning
Chenjun Xiao
Yifan Wu
Chen Ma
Dale Schuurmans
Martin Müller
OffRL
39
43
0
24 Dec 2019
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