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Student of Games: A unified learning algorithm for both perfect and
  imperfect information games

Student of Games: A unified learning algorithm for both perfect and imperfect information games

6 December 2021
Martin Schmid
Matej Moravcík
Neil Burch
Rudolf Kadlec
Josh Davidson
Kevin Waugh
Nolan Bard
Finbarr Timbers
Marc Lanctot
G. Z. Holland
Elnaz Davoodi
Alden Christianson
Michael Bowling
ArXivPDFHTML

Papers citing "Student of Games: A unified learning algorithm for both perfect and imperfect information games"

15 / 15 papers shown
Title
Approximating Nash Equilibria in General-Sum Games via Meta-Learning
Approximating Nash Equilibria in General-Sum Games via Meta-Learning
David Sychrovský
Christopher Solinas
Revan MacQueen
Kevin Wang
James Wright
Nathan R Sturtevant
Michael Bowling
21
0
0
26 Apr 2025
Meta-Learning in Self-Play Regret Minimization
Meta-Learning in Self-Play Regret Minimization
David Sychrovský
Martin Schmid
Michal Sustr
Michael Bowling
16
0
0
26 Apr 2025
Human-Level Competitive Pokémon via Scalable Offline Reinforcement Learning with Transformers
Human-Level Competitive Pokémon via Scalable Offline Reinforcement Learning with Transformers
Jake Grigsby
Yuqi Xie
Justin Sasek
Steven Zheng
Yuke Zhu
OffRL
26
0
0
06 Apr 2025
Two-Player Zero-Sum Differential Games with One-Sided Information
Two-Player Zero-Sum Differential Games with One-Sided Information
Mukesh Ghimire
Z. Xu
Yi Ren
SyDa
93
0
0
17 Feb 2025
Cardiverse: Harnessing LLMs for Novel Card Game Prototyping
Cardiverse: Harnessing LLMs for Novel Card Game Prototyping
Danrui Li
Sen Zhang
Sam S. Sohn
Kaidong Hu
Muhammad Usman
Mubbasir Kapadia
35
0
0
10 Feb 2025
GPU-Accelerated Counterfactual Regret Minimization
GPU-Accelerated Counterfactual Regret Minimization
Juho Kim
22
0
0
27 Aug 2024
Configurable Mirror Descent: Towards a Unification of Decision Making
Configurable Mirror Descent: Towards a Unification of Decision Making
Pengdeng Li
Shuxin Li
Chang Yang
Xinrun Wang
Shuyue Hu
Xiao Huang
Hau Chan
Bo An
27
1
0
20 May 2024
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement
  Learning
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning
Zun Li
Michael P. Wellman
16
1
0
30 Apr 2024
HSVI-based Online Minimax Strategies for Partially Observable Stochastic
  Games with Neural Perception Mechanisms
HSVI-based Online Minimax Strategies for Partially Observable Stochastic Games with Neural Perception Mechanisms
R. Yan
G. Santos
G. Norman
David Parker
Marta Z. Kwiatkowska
21
2
0
16 Apr 2024
Human vs. Machine: Behavioral Differences Between Expert Humans and
  Language Models in Wargame Simulations
Human vs. Machine: Behavioral Differences Between Expert Humans and Language Models in Wargame Simulations
Max Lamparth
Anthony Corso
Jacob Ganz
O. Mastro
Jacquelyn G. Schneider
Harold Trinkunas
42
7
0
06 Mar 2024
State-Constrained Zero-Sum Differential Games with One-Sided Information
State-Constrained Zero-Sum Differential Games with One-Sided Information
Mukesh Ghimire
Lei Zhang
Zhenni Xu
Yi Ren
30
2
0
05 Mar 2024
AI planning in the imagination: High-level planning on learned abstract
  search spaces
AI planning in the imagination: High-level planning on learned abstract search spaces
Carlos Martin
T. Sandholm
18
0
0
16 Aug 2023
Collaborating with Humans without Human Data
Collaborating with Humans without Human Data
D. Strouse
Kevin R. McKee
M. Botvinick
Edward Hughes
Richard Everett
116
159
0
15 Oct 2021
No-Press Diplomacy from Scratch
No-Press Diplomacy from Scratch
A. Bakhtin
David J. Wu
Adam Lerer
Noam Brown
96
42
0
06 Oct 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 H. Bowling
Marc Lanctot
35
22
0
11 Jan 2021
1