Martin Müller

134 papers A* 38A 5B 5C 5Misc 1Journal 42Unranked 36

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control. Trans. Mach. Learn. Res. Ehsan Futuhi, Shayan Karimi, Chao Gao, Martin Müller
2025	A	`conf`	β-DQN: Improving Deep Q-Learning By Evolving the Behavior. AAMAS Hongming Zhang, Fengshuo Bai, Chenjun Xiao, Chao Gao, Bo Xu, Martin Müller
2025	J	`jnl`	β-DQN: Improving Deep Q-Learning By Evolving the Behavior. CoRR Hongming Zhang, Fengshuo Bai, Chenjun Xiao, Chao Gao, Bo Xu, Martin Müller
2024	J	`jnl`	A Distance-based Anomaly Detection Framework for Deep Reinforcement Learning. Trans. Mach. Learn. Res. Hongming Zhang, Ke Sun, Bo Xu, Linglong Kong, Martin Müller
2024	—	`conf`	Analysing KataGo: A Comparative Evaluation Against Perfect Play in the Game of Go. CG Asmaul Husna, Martin Müller
2024	J	`jnl`	Contrastive Learning of Preferences with a Contextual InfoNCE Loss. CoRR Timo Bertram, Johannes Fürnkranz, Martin Müller
2024	J	`jnl`	ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control. CoRR Ehsan Futuhi, Shayan Karimi, Chao Gao, Martin Müller
2024	Misc	`conf`	Efficiently Training Neural Networks for Imperfect Information Games by Sampling Information Sets. KI Timo Bertram, Johannes Fürnkranz, Martin Müller
2024	J	`jnl`	Efficiently Training Neural Networks for Imperfect Information Games by Sampling Information Sets. CoRR Timo Bertram, Johannes Fürnkranz, Martin Müller
2024	A*	`conf`	Expected Work Search: Combining Win Rate and Proof Size Estimation. IJCAI Owen Randall, Martin Müller, Ting-Han Wei, Ryan Hayward
2024	J	`jnl`	Expected Work Search: Combining Win Rate and Proof Size Estimation. CoRR Owen Randall, Martin Müller, Ting-Han Wei, Ryan Hayward
2024	A*	`conf`	Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration. NeurIPS Hongming Zhang, Chenjun Xiao, Chao Gao, Han Wang, Bo Xu, Martin Müller
2024	B	`conf`	Exploring Conflict Generating Decisions: Initial Results (Extended Abstract). SOCS Md. Solimul Chowdhury, Martin Müller, Jia-Huai You
2024	C	`conf`	Learning With Generalised Card Representations for "Magic: The Gathering". CoG Timo Bertram, Johannes Fürnkranz, Martin Müller
2024	J	`jnl`	Learning With Generalised Card Representations for "Magic: The Gathering". CoRR Timo Bertram, Johannes Fürnkranz, Martin Müller
2024	A*	`conf`	Monte Carlo Tree Search in the Presence of Transition Uncertainty. AAAI Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang, Ting-Han Wei, Chao Gao, Martin Müller
2024	J	`jnl`	Neural Network-Based Information Set Weighting for Playing Reconnaissance Blind Chess. IEEE Trans. Games Timo Bertram, Johannes Fürnkranz, Martin Müller
2024	J	`jnl`	Neural Network-based Information Set Weighting for Playing Reconnaissance Blind Chess. CoRR Timo Bertram, Johannes Fürnkranz, Martin Müller
2024	—	`conf`	Solving Linear NoGo with Combinatorial Game Theory. CG Haoyu Du, Martin Müller
2023	C	`conf`	Deep Dive on Checkers Endgame Data. CoG Jiuqi Wang, Martin Müller, Jonathan Schaeffer
2023	J	`jnl`	Monte Carlo Tree Search in the Presence of Transition Uncertainty. CoRR Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang, Ting-Han Wei, Chao Gao, Martin Müller
2023	A*	`conf`	Replay Memory as An Empirical MDP: Combining Conservative Estimation with Experience Replay. ICLR Hongming Zhang, Chenjun Xiao, Han Wang, Jun Jin, Bo Xu, Martin Müller
2023	—	`conf`	Solving NoGo on Small Rectangular Boards. ACG Haoyu Du, Ting-Han Wei, Martin Müller
2023	—	`conf`	Stockfish or Leela Chess Zero? A Comparison Against Endgame Tablebases. ACG Quazi Asif Sadmine, Asmaul Husna, Martin Müller
2023	C	`conf`	Weighting Information Sets with Siamese Neural Networks in Reconnaissance Blind Chess. CoG Timo Bertram, Johannes Fürnkranz, Martin Müller
2022	—	`conf`	Improving Search in Go Using Bounded Static Safety. CG Owen Randall, Ting-Han Wei, Ryan Hayward, Martin Müller
2022	J	`jnl`	Quantity vs Quality: Investigating the Trade-Off between Sample Size and Label Reliability. CoRR Timo Bertram, Johannes Fürnkranz, Martin Müller
2022	C	`conf`	Supervised and Reinforcement Learning from Observations in Reconnaissance Blind Chess. CoG Timo Bertram, Johannes Fürnkranz, Martin Müller
2022	J	`jnl`	Supervised and Reinforcement Learning from Observations in Reconnaissance Blind Chess. CoRR Timo Bertram, Johannes Fürnkranz, Martin Müller
2021	J	`jnl`	A Comparison of Contextual and Non-Contextual Preference Ranking for Set Addition Problems. CoRR Timo Bertram, Johannes Fürnkranz, Martin Müller
2021	J	`jnl`	A Deep Dive into Conflict Generating Decisions. CoRR Md. Solimul Chowdhury, Martin Müller, Jia-Huai You
2021	J	`jnl`	A Simple Unified Framework for Anomaly Detection in Deep Reinforcement Learning. CoRR Hongming Zhang, Ke Sun, Bo Xu, Linglong Kong, Martin Müller
2021	—	`conf`	On the Road to Perfection? Evaluating Leela Chess Zero Against Endgame Tablebases. ACG Rejwana Haque, Ting-Han Wei, Martin Müller
2021	C	`conf`	Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking. CoG Timo Bertram, Johannes Fürnkranz, Martin Müller
2021	J	`jnl`	Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking. CoRR Timo Bertram, Johannes Fürnkranz, Martin Müller
2021	—	`conf`	The Machine Reconnaissance Blind Chess Tournament of NeurIPS 2022. NeurIPS (Competition and Demos) Ryan W. Gardner, Gino Perrotta, Anvay Shah, Shivaram Kalyanakrishnan, Kevin A. Wang, Gregory Clark, Timo Bertram, Johannes Fürnkranz, Martin Müller, Brady P. Garrison, Prithviraj Dasgupta, Saeid Rezaei
2020	A*	`conf`	Guiding CDCL SAT Search via Random Exploration amid Conflict Depression. AAAI Md. Solimul Chowdhury, Martin Müller, Jia-Huai You
2019	J	`jnl`	Characterization of Glue Variables in CDCL SAT Solving. CoRR Md. Solimul Chowdhury, Martin Müller, Jia-Huai You
2019	—	`ch.`	Computer Go. Encyclopedia of Computer Graphics and Games Kazuki Yoshizoe, Martin Müller
2019	A	`conf`	Exploiting Glue Clauses to Design Effective CDCL Branching Heuristics. CP Md. Solimul Chowdhury, Martin Müller, Jia-Huai You
2019	J	`jnl`	Learning to Combat Compounding-Error in Model-Based Reinforcement Learning. CoRR Chenjun Xiao, Yifan Wu, Chen Ma, Dale Schuurmans, Martin Müller
2019	A*	`conf`	Maximum Entropy Monte-Carlo Planning. NeurIPS Chenjun Xiao, Ruitong Huang, Jincheng Mei, Dale Schuurmans, Martin Müller
2019	A*	`conf`	On Principled Entropy Exploration in Policy Optimization. IJCAI Jincheng Mei, Chenjun Xiao, Ruitong Huang, Dale Schuurmans, Martin Müller
2018	J	`jnl`	A transferable neural network for Hex. ICGA J. Chao Gao, Siqi Yan, Ryan Hayward, Martin Müller
2018	—	`conf`	Adversarial Policy Gradient for Alternating Markov Games. ICLR (Workshop) Chao Gao, Martin Müller, Ryan Hayward
2018	—	`conf`	Analyzing the Impact of Knowledge and Search in Monte Carlo Tree Search in Go. CGW@IJCAI Farhad Haqiqat, Martin Müller
2018	J	`jnl`	Guest Editorial Special Issue on Deep/Reinforcement Learning and Games. IEEE Trans. Games I-Chen Wu, Chang-Shing Lee, Yuandong Tian, Martin Müller
2018	A*	`conf`	MS-Lite: A Lightweight, Complementary Merge-and-Shrink Method. ICAPS Gaojian Fan, Robert Holte, Martin Müller
2018	A*	`conf`	Memory-Augmented Monte Carlo Tree Search. AAAI Chenjun Xiao, Jincheng Mei, Martin Müller
2018	J	`jnl`	Move Prediction Using Deep Convolutional Neural Networks in Hex. IEEE Trans. Games Chao Gao, Ryan Hayward, Martin Müller
2018	A*	`conf`	Preliminary Results on Exploration-Driven Satisfiability Solving. AAAI Md. Solimul Chowdhury, Martin Müller, Jia-Huai You
2018	A*	`conf`	Three-Head Neural Network Architecture for Monte Carlo Tree Search. IJCAI Chao Gao, Martin Müller, Ryan Hayward
2017	A*	`conf`	Additive Merge-and-Shrink Heuristics for Diverse Action Costs. IJCAI Gaojian Fan, Martin Müller, Robert Holte
2017	A*	`conf`	Focused Depth-first Proof Number Search using Convolutional Neural Networks for the Game of Hex. IJCAI Chao Gao, Martin Müller, Ryan Hayward
2017	B	`conf`	Structured Best Arm Identification with Fixed Confidence. ALT Ruitong Huang, Mohammad M. Ajallooeian, Csaba Szepesvári, Martin Müller
2017	J	`jnl`	Structured Best Arm Identification with Fixed Confidence. CoRR Ruitong Huang, Mohammad M. Ajallooeian, Csaba Szepesvári, Martin Müller
2017	A*	`conf`	The Two-Edged Nature of Diverse Action Costs. ICAPS Gaojian Fan, Martin Müller, Robert Holte
2016	A*	`conf`	Factorization Ranking Model for Move Prediction in the Game of Go. AAAI Chenjun Xiao, Martin Müller
2016	—	`conf`	Integrating Factorization Ranked Features in MCTS: An Experimental Study. CGW@IJCAI Chenjun Xiao, Martin Müller
2015	J	`jnl`	An Enhanced Solver for the Game of Amazons. IEEE Trans. Comput. Intell. AI Games Jiaxing Song, Martin Müller
2015	—	`conf`	Keynote speech III: Computer go research - The challenges ahead. CIG Martin Müller
2015	A*	`conf`	TDS+: Improving Temperature Discovery Search. AAAI Yeqin Zhang, Martin Müller
2015	A*	`conf`	Understanding and Improving Local Exploration for GBFS. ICAPS Fan Xie, Martin Müller, Robert Holte
2014	A*	`conf`	Adding Local Exploration to Greedy Best-First Search in Satisficing Planning. AAAI Fan Xie, Martin Müller, Robert Holte
2014	B	`conf`	Non-Linear Merging Strategies for Merge-and-Shrink Based on Variable Interactions. SOCS Gaojian Fan, Martin Müller, Robert Holte
2014	J	`jnl`	Towards a theory of random walk planning: Regress factors, fair homogeneous graphs and extensions. AI Commun. Hootan Nakhost, Martin Müller
2014	A*	`conf`	Type-Based Exploration with Multiple Search Queues for Satisficing Planning. AAAI Fan Xie, Martin Müller, Robert Holte, Tatsuya Imai
2013	—	`conf`	Analyzing Simulations in Monte-Carlo Tree Search for the Game of Go. Computers and Games Sumudu Fernando, Martin Müller
2013	A*	`conf`	Better Time Constrained Search via Randomization and Postprocessing. ICAPS Fan Xie, Richard Anthony Valenzano, Martin Müller
2013	—	`conf`	Investigating the Limits of Monte-Carlo Tree Search Methods in Computer Go. Computers and Games Shih-Chieh Huang, Martin Müller
2013	—	`conf`	MoHex 2.0: A Pattern-Based MCTS Hex Player. Computers and Games Shih-Chieh Huang, Broderick Arneson, Ryan B. Hayward, Martin Müller, Jakub Pawlewicz
2013	A*	`conf`	Temporal-Difference Search in Computer Go. ICAPS David Silver, Richard S. Sutton, Martin Müller
2013	A*	`conf`	Towards a Second Generation Random Walk Planner: An Experimental Exploration. IJCAI Hootan Nakhost, Martin Müller
2012	B	`conf`	A Theoretical Framework for Studying Random Walk Planning. SOCS Hootan Nakhost, Martin Müller
2012	A	`conf`	ArvandHerd: Parallel Planning with a Portfolio. ECAI Richard Anthony Valenzano, Hootan Nakhost, Martin Müller, Jonathan Schaeffer, Nathan R. Sturtevant
2012	—	`conf`	Automatically Configuring Algorithms for Scaling Performance. LION James Styles, Holger H. Hoos, Martin Müller
2012	J	`jnl`	Game-Tree Search Using Proof Numbers: The First Twenty Years. ICGA J. Akihiro Kishimoto, Mark H. M. Winands, Martin Müller, Jahn-Takeshi Saito
2012	A*	`conf`	Planning Via Random Walk-Driven Local Search. ICAPS Fan Xie, Hootan Nakhost, Martin Müller
2012	A*	`conf`	Resource-Constrained Planning: A Monte Carlo Random Walk Approach. ICAPS Hootan Nakhost, Jörg Hoffmann, Martin Müller
2012	J	`jnl`	Temporal-difference search in computer Go. Mach. Learn. David Silver, Richard S. Sutton, Martin Müller
2011	A*	`conf`	A Local Monte Carlo Tree Search Approach in Deterministic Planning. AAAI Fan Xie, Hootan Nakhost, Martin Müller
2011	—	`conf`	Blunder Cost in Go and Hex. ACG Henry Brausen, Ryan B. Hayward, Martin Müller, Abdul Qadir, David Spies
2011	J	`jnl`	Macro-FF: Improving AI Planning with Automatically Learned Macro-Operators CoRR Adi Botea, Markus Enzenberger, Martin Müller, Jonathan Schaeffer
2011	—	`conf`	Revisiting Move Groups in Monte-Carlo Tree Search. ACG Gabriel Van Eyck, Martin Müller
2010	A*	`conf`	Action Elimination and Plan Neighborhood Graph Search: Two Algorithms for Plan Improvement. ICAPS Hootan Nakhost, Martin Müller
2010	A	`conf`	Automating Layouts of Sewers in Subdivisions. ECAI Neil Burch, Robert C. Holte, Martin Müller, David O'Connell, Jonathan Schaeffer
2010	—	`conf`	Computational Experiments with the RAVE Heuristic. Computers and Games David Tom, Martin Müller
2010	J	`jnl`	Fuego - An Open-Source Framework for Board Games and Go Engine Based on Monte Carlo Tree Search. IEEE Trans. Comput. Intell. AI Games Markus Enzenberger, Martin Müller, Broderick Arneson, R. Segal
2010	B	`conf`	Improving Local Search for Resource-Constrained Planning. SOCS Hootan Nakhost, Jörg Hoffmann, Martin Müller
2010	J	`jnl`	Special Issue on Monte Carlo Techniques and Computer Go. IEEE Trans. Comput. Intell. AI Games Chang-Shing Lee, Martin Müller, Olivier Teytaud
2009	—	`conf`	A Lock-Free Multithreaded Monte-Carlo Tree Search Algorithm. ACG Markus Enzenberger, Martin Müller
2009	—	`conf`	A Study of UCT and Its Enhancements in an Artificial Game. ACG David Tom, Martin Müller
2009	A*	`conf`	Monte-Carlo Exploration for Deterministic Planning. IJCAI Hootan Nakhost, Martin Müller
2008	—	`conf`	About the Completeness of Depth-First Proof-Number Search. Computers and Games Akihiro Kishimoto, Martin Müller
2008	—	`conf`	An Improved Safety Solver in Go Using Partial Regions. Computers and Games Xiaozhen Niu, Martin Müller
2008	A*	`conf`	Sample-based learning and search with permanent and transient memories. ICML David Silver, Richard S. Sutton, Martin Müller
2008	—	`conf`	Using Artificial Boundaries in the Game of Go. Computers and Games Ling Zhao, Martin Müller
2007	A*	`conf`	Fast Planning with Iterative Macros. IJCAI Adi Botea, Martin Müller, Jonathan Schaeffer
2007	A*	`conf`	Lambda Depth-First Proof Number Search and Its Application to Go. IJCAI Kazuki Yoshizoe, Akihiro Kishimoto, Martin Müller
2007	A*	`conf`	Reinforcement Learning of Local Shape in the Game of Go. IJCAI David Silver, Richard S. Sutton, Martin Müller
2006	—	`conf`	An Open Boundary Safety-of-Territory Solver for the Game of Go. Computers and Games Xiaozhen Niu, Martin Müller
2006	—	`conf`	Recognizing Seki in Computer Go. ACG Xiaozhen Niu, Akihiro Kishimoto, Martin Müller
2006	—	`conf`	Solving Probabilistic Combinatorial Games. ACG Ling Zhao, Martin Müller
2005	J	`jnl`	A solution to the GHI problem for depth-first proof-number search. Inf. Sci. Akihiro Kishimoto, Martin Müller
2005	—	`conf`	Dynamic Decomposition Search: A Divide and Conquer Approach and its Application to the One-Eye Problem in Go. CIG Akihiro Kishimoto, Martin Müller
2005	A*	`conf`	Learning Partial-Order Macros from Solutions. ICAPS Adi Botea, Martin Müller, Jonathan Schaeffer
2005	J	`jnl`	Macro-FF: Improving AI Planning with Automatically Learned Macro-Operators. J. Artif. Intell. Res. Adi Botea, Markus Enzenberger, Martin Müller, Jonathan Schaeffer
2005	A*	`conf`	Search versus Knowledge for Solving Life and Death Problems in Go. AAAI Akihiro Kishimoto, Martin Müller
2005	A*	`conf`	Solving Checkers. IJCAI Jonathan Schaeffer, Yngvi Björnsson, Neil Burch, Akihiro Kishimoto, Martin Müller, Robert Lake, Paul Lu, Steve Sutphen
2004	A*	`conf`	A General Solution to the Graph History Interaction Problem. AAAI Akihiro Kishimoto, Martin Müller
2004	—	`conf`	An Improved Safety Solver for Computer Go. Computers and Games Xiaozhen Niu, Martin Müller
2004	A	`conf`	Game-SAT: A Preliminary Report. SAT Ling Zhao, Martin Müller
2004	—	`conf`	Locally Informed Global Search for Sums of Combinatorial Games. Computers and Games Martin Müller, Zhichao Li
2004	J	`jnl`	Near Optimal Hierarchical Path-Finding. J. Game Dev. Adi Botea, Martin Müller, Jonathan Schaeffer
2004	J	`jnl`	Solving Systems of Difference Constraints Incrementally with Bidirectional Search. Algorithmica Jianjun Zhou, Martin Müller
2004	A*	`conf`	Temperature Discovery Search. AAAI Martin Müller, Markus Enzenberger, Jonathan Schaeffer
2004	A*	`conf`	Using Component Abstraction for Automatic Generation of Macro-Actions. ICAPS Adi Botea, Martin Müller, Jonathan Schaeffer
2003	—	`ed.`	Computers and Games, Third International Conference, CG 2002, Edmonton, Canada, July 25-27, 2002, Revised Papers Computers and Games Jonathan Schaeffer, Martin Müller, Yngvi Björnsson
2003	J	`jnl`	Conditional combinatorial games and their application to analyzing capturing races in Go. Inf. Sci. Martin Müller
2003	—	`conf`	DF-PN in Go: An Application to the One-Eye Problem. ACG Akihiro Kishimoto, Martin Müller
2003	J	`jnl`	Depth-First Discovery Algorithm for incremental topological sorting of directed acyclic graphs. Inf. Process. Lett. Jianjun Zhou, Martin Müller
2002	—	`conf`	A Generalized Framework for Analyzing Capturing Races in Go. JCIS Martin Müller
2002	J	`jnl`	Computer Go. Artif. Intell. Martin Müller
2002	J	`jnl`	Position Evaluation in Computer Go. ICGA J. Martin Müller
2002	—	`conf`	Proof-Set Search. Computers and Games Martin Müller
2002	—	`conf`	Using Abstraction for Planning in Sokoban. Computers and Games Adi Botea, Martin Müller, Jonathan Schaeffer
2001	J	`jnl`	Global and local game tree search. Inf. Sci. Martin Müller
2001	J	`jnl`	Partial order bounding: A new approach to evaluation in game tree search. Artif. Intell. Martin Müller
2000	J	`jnl`	Report on the second Open Computer-Amazons Championship. ICGA J. Hiroyuki Iida, Martin Müller
2000	—	`conf`	Review: Computer Go 1984-2000. Computers and Games Martin Müller
1999	J	`jnl`	Computer Go: A Research Agenda. ICCA J. Martin Müller
1999	A*	`conf`	Decomposition Search: A Combinatorial Games Approach to Game Tree Search, with Applications to Solving Go Endgames. IJCAI Martin Müller
1998	—	`conf`	Computer Go: A Research Agenda. Computers and Games Martin Müller
1991	—	`conf`	Every Interactive System Evolves into Hyperspace: The Case of the Smart Game Board. Hypertext/Hypermedia Anders Kierulf, Ralph Gasser, Peter M. Geiser, Martin Müller, Jürg Nievergelt, Christoph Wirth