Martin Müller

University of Alberta — Canada

Computer Science · Physical Sciences

27h-index3.1kcitations170works0.42yr avg
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Research Topics

Artificial Intelligence in Games(80), Digital Games and Media(43), Sports Analytics and Performance(40), AI-based Problem Solving and Planning(28), Constraint Satisfaction and Optimization(23)

Publications170 total

Double Check My Desired Return: Transformer with Target Alignment for Offline Reinforcement Learning
arXiv (Cornell University)·2025Open Access
Analysing KataGo: A Comparative Evaluation Against Perfect Play in the Game of Go
Lecture notes in computer science·2025
Solving Linear NoGo with Combinatorial Game Theory
Lecture notes in computer science·2025
$β$-DQN: Improving Deep Q-Learning By Evolving the Behavior
arXiv (Cornell University)·2025Open Access
Patenting measurements
Journal of Intellectual Property Law & Practice·2024
Accelerating Adversarial Training on Under-Utilized GPU
2024Open Access
Neural Network-Based Information Set Weighting for Playing Reconnaissance Blind Chess
IEEE Transactions on Games·2024· 1 citedOpen Access
Learning With Generalised Card Representations for "Magic: The Gathering"
arXiv (Cornell University)·2024Open Access
Efficiently Training Neural Networks for Imperfect Information Games by Sampling Information Sets
arXiv (Cornell University)·2024Open Access
Exploring Conflict Generating Decisions: Initial Results (Extended Abstract)
Proceedings of the International Symposium on Combinatorial Search·2024Open Access
Expected Work Search: Combining Win Rate and Proof Size Estimation
arXiv (Cornell University)·2024Open Access
Monte Carlo Tree Search in the Presence of Transition Uncertainty
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 1 citedOpen Access
Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration
2024
Computer Go
Encyclopedia of Computer Graphics and Games·2024
Efficiently Training Neural Networks for Imperfect Information Games by Sampling Information Sets
Lecture notes in computer science·2024
Solving NoGo on Small Rectangular Boards
Lecture notes in computer science·2024· 1 cited
Stockfish or Leela Chess Zero? A Comparison Against Endgame Tablebases
Lecture notes in computer science·2024· 3 cited
Monte Carlo Tree Search in the Presence of Transition Uncertainty
arXiv (Cornell University)·2023Open Access
Deep Dive on Checkers Endgame Data
2023
Improving Search in Go Using Bounded Static Safety
Lecture notes in computer science·2023
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Frequent Co-authors

Jonathan Schaeffer(7), Akihiro Kishimoto(7), Adi Botea(5), Hootan Nakhost(5), Wolfgang Junge(4), Oliver Pänke(4), Siegfried Engelbrecht(4), David Silver(3), Richard S. Sutton(3), Dmitry A. Cherepanov(3), Karin Gumbiowski(3), Ryan Hayward(3), Fan Xie(3), Robert C. Holte(3), Chenjun Xiao(3), Markus Enzenberger(2), Broderick Arneson(2), Shih-Chieh Huang(2), Stephanie Winkler(2), Jincheng Mei(2)