ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1705.02955
  4. Cited By
Safe and Nested Subgame Solving for Imperfect-Information Games
v1v2v3 (latest)

Safe and Nested Subgame Solving for Imperfect-Information Games

8 May 2017
Noam Brown
Tuomas Sandholm
ArXiv (abs)PDFHTML

Papers citing "Safe and Nested Subgame Solving for Imperfect-Information Games"

39 / 39 papers shown
Title
CFR-p: Counterfactual Regret Minimization with Hierarchical Policy
  Abstraction, and its Application to Two-player Mahjong
CFR-p: Counterfactual Regret Minimization with Hierarchical Policy Abstraction, and its Application to Two-player Mahjong
Shiheng Wang
OffRL
22
1
0
22 Jul 2023
A Survey of Decision Making in Adversarial Games
A Survey of Decision Making in Adversarial Games
Xiuxian Li
Min Meng
Yiguang Hong
Jie-bin Chen
AAML
97
15
0
16 Jul 2022
A Marriage between Adversarial Team Games and 2-player Games: Enabling
  Abstractions, No-regret Learning, and Subgame Solving
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving
Luca Carminati
Federico Cacciamani
Marco Ciccone
N. Gatti
56
16
0
18 Jun 2022
ESCHER: Eschewing Importance Sampling in Games by Computing a History
  Value Function to Estimate Regret
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret
Stephen Marcus McAleer
Gabriele Farina
Marc Lanctot
Tuomas Sandholm
174
26
0
08 Jun 2022
Safe adaptation in multiagent competition
Safe adaptation in multiagent competition
Macheng Shen
Jonathan P. How
TTA
65
1
0
14 Mar 2022
To be a fast adaptive learner: using game history to defeat opponents
To be a fast adaptive learner: using game history to defeat opponents
Guangzhao Cheng
Siliang Tang
18
0
0
17 May 2021
Bandit Linear Optimization for Sequential Decision Making and
  Extensive-Form Games
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games
Gabriele Farina
Robin Schmucker
Tuomas Sandholm
173
21
0
08 Mar 2021
Learning to run a Power Network Challenge: a Retrospective Analysis
Learning to run a Power Network Challenge: a Retrospective Analysis
Antoine Marot
Benjamin Donnot
Gabriel Dulac-Arnold
A. Kelly
A. O'Sullivan
J. Viebahn
M. Awad
Isabelle M Guyon
P. Panciatici
Camilo Romero
74
80
0
02 Mar 2021
Safe Search for Stackelberg Equilibria in Extensive-Form Games
Safe Search for Stackelberg Equilibria in Extensive-Form Games
Chun Kai Ling
Noam Brown
OffRL
31
3
0
02 Feb 2021
Solving Common-Payoff Games with Approximate Policy Iteration
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
93
22
0
11 Jan 2021
Learning to Play Imperfect-Information Games by Imitating an Oracle
  Planner
Learning to Play Imperfect-Information Games by Imitating an Oracle Planner
Rinu Boney
Alexander Ilin
Arno Solin
Jarno Seppänen
27
3
0
22 Dec 2020
Polynomial-Time Computation of Optimal Correlated Equilibria in
  Two-Player Extensive-Form Games with Public Chance Moves and Beyond
Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond
Gabriele Farina
Tuomas Sandholm
75
17
0
09 Sep 2020
Joint Policy Search for Multi-agent Collaboration with Imperfect
  Information
Joint Policy Search for Multi-agent Collaboration with Imperfect Information
Yuandong Tian
Qucheng Gong
Tina Jiang
93
19
0
14 Aug 2020
Combining Deep Reinforcement Learning and Search for
  Imperfect-Information Games
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games
Noam Brown
A. Bakhtin
Adam Lerer
Qucheng Gong
141
134
0
27 Jul 2020
Unlocking the Potential of Deep Counterfactual Value Networks
Unlocking the Potential of Deep Counterfactual Value Networks
Ryan Zarick
Bryan Pellegrino
Noam Brown
Caleb Banister
OffRL
66
18
0
20 Jul 2020
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I
  Learned to Stop Worrying about Mixed-Nash and Love Neural Nets
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets
Gauthier Gidel
David Balduzzi
Wojciech M. Czarnecki
M. Garnelo
Yoram Bachrach
89
7
0
14 Feb 2020
Coordination in Adversarial Sequential Team Games via Multi-Agent Deep
  Reinforcement Learning
Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning
A. Celli
Marco Ciccone
Raffaele Bongo
N. Gatti
61
12
0
16 Dec 2019
Learning to run a power network challenge for training topology
  controllers
Learning to run a power network challenge for training topology controllers
Antoine Marot
Benjamin Donnot
Camilo Romero
Luca Veyrin-Forrer
Marvin Lerousseau
Balthazar Donon
Isabelle M Guyon
92
76
0
05 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and
  Algorithms
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Kai Zhang
Zhuoran Yang
Tamer Basar
231
1,228
0
24 Nov 2019
Learning Probably Approximately Correct Maximin Strategies in
  Simulation-Based Games with Infinite Strategy Spaces
Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces
A. Marchesi
F. Trovò
N. Gatti
50
18
0
18 Nov 2019
Efficient Regret Minimization Algorithm for Extensive-Form Correlated
  Equilibrium
Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium
Gabriele Farina
Chun Kai Ling
Fei Fang
Tuomas Sandholm
69
15
0
28 Oct 2019
RLCard: A Toolkit for Reinforcement Learning in Card Games
RLCard: A Toolkit for Reinforcement Learning in Card Games
Daochen Zha
Kwei-Herng Lai
Yuanpu Cao
Songyi Huang
Ruzhe Wei
Junyu Guo
Helen Zhou
OffRL
82
58
0
10 Oct 2019
Low-Variance and Zero-Variance Baselines for Extensive-Form Games
Low-Variance and Zero-Variance Baselines for Extensive-Form Games
Trevor Davis
Martin Schmid
Michael Bowling
OffRL
77
19
0
22 Jul 2019
Rethinking Formal Models of Partially Observable Multiagent Decision
  Making
Rethinking Formal Models of Partially Observable Multiagent Decision Making
Vojtěch Kovařík
Martin Schmid
Neil Burch
Michael Bowling
Viliam Lisý
OffRL
142
56
0
26 Jun 2019
Most Important Fundamental Rule of Poker Strategy
Most Important Fundamental Rule of Poker Strategy
Sam Ganzfried
Max Chiswick
25
3
0
08 Jun 2019
Stable-Predictive Optimistic Counterfactual Regret Minimization
Stable-Predictive Optimistic Counterfactual Regret Minimization
Gabriele Farina
Christian Kroer
Noam Brown
Tuomas Sandholm
93
34
0
13 Feb 2019
Deep Reinforcement Learning for Green Security Games with Real-Time
  Information
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
61
73
0
06 Nov 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
194
144
0
15 Oct 2018
Lazy-CFR: fast and near optimal regret minimization for extensive games
  with imperfect information
Lazy-CFR: fast and near optimal regret minimization for extensive games with imperfect information
Yichi Zhou
Zhaolin Ren
J. Li
Dong Yan
Jun Zhu
75
13
0
10 Oct 2018
Solving Large Sequential Games with the Excessive Gap Technique
Solving Large Sequential Games with the Excessive Gap Technique
Christian Kroer
Gabriele Farina
Tuomas Sandholm
172
38
0
07 Oct 2018
Solving Imperfect-Information Games via Discounted Regret Minimization
Solving Imperfect-Information Games via Discounted Regret Minimization
Noam Brown
Tuomas Sandholm
152
168
0
11 Sep 2018
Online Convex Optimization for Sequential Decision Processes and
  Extensive-Form Games
Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games
Gabriele Farina
Christian Kroer
Tuomas Sandholm
106
59
0
10 Sep 2018
Backplay: "Man muss immer umkehren"
Backplay: "Man muss immer umkehren"
Cinjon Resnick
R. Raileanu
Sanyam Kapoor
Alex Peysakhovich
Kyunghyun Cho
Joan Bruna
OffRL
86
45
0
18 Jul 2018
Understanding Generalization and Optimization Performance of Deep CNNs
Understanding Generalization and Optimization Performance of Deep CNNs
Pan Zhou
Jiashi Feng
MLT
124
50
0
28 May 2018
Depth-Limited Solving for Imperfect-Information Games
Depth-Limited Solving for Imperfect-Information Games
Noam Brown
Tuomas Sandholm
Brandon Amos
77
81
0
21 May 2018
Successful Nash Equilibrium Agent for a 3-Player Imperfect-Information
  Game
Successful Nash Equilibrium Agent for a 3-Player Imperfect-Information Game
Sam Ganzfried
Austin Nowak
Joannier Pinales
23
3
0
13 Apr 2018
An Introduction to Image Synthesis with Generative Adversarial Nets
An Introduction to Image Synthesis with Generative Adversarial Nets
He Huang
Philip S. Yu
Changhu Wang
GAN
79
185
0
12 Mar 2018
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
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
136
639
0
02 Nov 2017
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
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
261
913
0
06 Jan 2017
1