The Quad Heuristic in Lines of Action. - Mark H. M. Winands; Jos W. H. M. Uiterwijk; H. Jaap van den Herik (J. Int. Comput. Games Assoc., 2001)

PDS-PN: A New Proof-Number Search Algorithm. - Mark H. M. Winands; Jos W. H. M. Uiterwijk; H. Jaap van den Herik (Computers and Games, 2002)

Learning in Lines of Action. - Mark H. M. Winands; Levente Kocsis; Jos W. H. M. Uiterwijk; H. Jaap van den Herik (GAME-ON, 2002)

An Evaluation Function for Lines of Action. - Mark H. M. Winands; H. Jaap van den Herik; Jos W. H. M. Uiterwijk (ACG, 2003)

The Relative History Heuristic. - Mark H. M. Winands; Erik C. D. van der Werf; H. Jaap van den Herik; Jos W. H. M. Uiterwijk (Computers and Games, 2004)

An effective two-level proof-number search algorithm. - Mark H. M. Winands; Jos W. H. M. Uiterwijk; H. Jaap van den Herik (Theor. Comput. Sci., 2004)

Learning to predict life and death from Go game records. - Erik C. D. van der Werf; Mark H. M. Winands; H. Jaap van den Herik; Jos W. H. M. Uiterwijk (Inf. Sci., 2005)

Enhanced forward pruning. - Mark H. M. Winands; H. Jaap van den Herik; Jos W. H. M. Uiterwijk; Erik C. D. van der Werf (Inf. Sci., 2005)

RSPSA: Enhanced Parameter Optimization in Games. - Levente Kocsis; Csaba Szepesvári; Mark H. M. Winands (ACG, 2006)

Fanorona is a Draw. - Maarten P. D. Schadd; Mark H. M. Winands; Maurice H. J. Bergsma; Jos W. H. M. Uiterwijk; H. Jaap van den Herik (J. Int. Comput. Games Assoc., 2007)

Parallel Monte-Carlo Tree Search. - Guillaume Chaslot; Mark H. M. Winands; H. Jaap van den Herik (Computers and Games, 2008)

Single-Player Monte-Carlo Tree Search. - Maarten P. D. Schadd; Mark H. M. Winands; H. Jaap van den Herik; Guillaume Chaslot; Jos W. H. M. Uiterwijk (Computers and Games, 2008)

Monte-Carlo Tree Search Solver. - Mark H. M. Winands; Yngvi Björnsson; Jahn-Takeshi Saito (Computers and Games, 2008)

Cross-Entropy for Monte-Carlo Tree Search. - Guillaume Chaslot; Mark H. M. Winands; Istvan Szita; H. Jaap van den Herik (J. Int. Comput. Games Assoc., 2008)

6×6 LOA is Solved. - Mark H. M. Winands (J. Int. Comput. Games Assoc., 2008)

Proof-Number Search and Its Variants. - H. Jaap van den Herik; Mark H. M. Winands (Oppositional Concepts in Computational Intelligence, 2008)

Randomized Parallel Proof-Number Search. - Jahn-Takeshi Saito; Mark H. M. Winands; H. Jaap van den Herik (ACG, 2009)

Automated Discovery of Search-Extension Features. - Pálmi Skowronski; Yngvi Björnsson; Mark H. M. Winands (ACG, 2009)

Evaluation Function Based Monte-Carlo LOA. - Mark H. M. Winands; Yngvi Björnsson (ACG, 2009)

CHANCEPROBCUT: Forward pruning in chance nodes. - Maarten P. D. Schadd; Mark H. M. Winands; Jos W. H. M. Uiterwijk (CIG, 2009)

Solving Go for Rectangular Boards. - Erik C. D. van der Werf; Mark H. M. Winands (J. Int. Comput. Games Assoc., 2009)

Enhancements for Multi-Player Monte-Carlo Tree Search. - J. (Pim) A. M. Nijssen; Mark H. M. Winands (Computers and Games, 2010)

Evaluation-Function Based Proof-Number Search. - Mark H. M. Winands; Maarten P. D. Schadd (Computers and Games, 2010)

Paranoid Proof-Number Search. - Jahn-Takeshi Saito; Mark H. M. Winands (CIG, 2010)

A selective move generator for the game axis and allies. - David Lupien St-Pierre; Mark H. M. Winands; David A. Watt (CIG, 2010)

Monte Carlo Tree Search in Lines of Action. - Mark H. M. Winands; Yngvi Björnsson; Jahn-Takeshi Saito (IEEE Trans. Comput. Intell. AI Games, 2010)

Time Management for Monte-Carlo Tree Search in Go. - Hendrik Baier; Mark H. M. Winands (ACG, 2011)

Playout Search for Monte-Carlo Tree Search in Multi-player Games. - J. (Pim) A. M. Nijssen; Mark H. M. Winands (ACG, 2011)

Monte-Carlo Tree Search Enhancements for Havannah. - Jan A. Stankiewicz; Mark H. M. Winands; Jos W. H. M. Uiterwijk (ACG, 2011)

Monte-Carlo Tree Search for the game of Scotland Yard. - J. (Pim) A. M. Nijssen; Mark H. M. Winands (CIG, 2011)

αβ-based play-outs in Monte-Carlo Tree Search. - Mark H. M. Winands; Yngvi Björnsson (CIG, 2011)

Best Reply Search for Multiplayer Games. - Maarten P. D. Schadd; Mark H. M. Winands (IEEE Trans. Comput. Intell. AI Games, 2011)

Beam Monte-Carlo Tree Search. - Hendrik Baier; Mark H. M. Winands (CIG, 2012)

Enhancements for Monte-Carlo Tree Search in Ms Pac-Man. - Tom Pepels; Mark H. M. Winands (CIG, 2012)

Nested Monte-Carlo Tree Search for Online Planning in Large MDPs. - Hendrik Baier; Mark H. M. Winands (ECAI, 2012)

Preface for the special issue on Games and AI. - Mark H. M. Winands; Yngvi Björnsson; Karl Tuyls (Entertain. Comput., 2012)

Game-Tree Search Using Proof Numbers: The First Twenty Years. - Akihiro Kishimoto; Mark H. M. Winands; Martin Müller 003; Jahn-Takeshi Saito (J. Int. Comput. Games Assoc., 2012)

Computer Games Workshop at ECAI 2012. - Mark H. M. Winands; Tristan Cazenave (J. Int. Comput. Games Assoc., 2012)

Single-player Monte-Carlo tree search for SameGame. - Maarten P. D. Schadd; Mark H. M. Winands; Mandy J. W. Tak; Jos W. H. M. Uiterwijk (Knowl. Based Syst., 2012)

Monte Carlo Tree Search for the Hide-and-Seek Game Scotland Yard. - J. (Pim) A. M. Nijssen; Mark H. M. Winands (IEEE Trans. Comput. Intell. AI Games, 2012)

N-Grams and the Last-Good-Reply Policy Applied in General Game Playing. - Mandy J. W. Tak; Mark H. M. Winands; Yngvi Björnsson (IEEE Trans. Comput. Intell. AI Games, 2012)

Improving Best-Reply Search. - Markus Esser; Michael Gras; Mark H. M. Winands; Maarten P. D. Schadd; Marc Lanctot (Computers and Games, 2013)

Monte-Carlo Tree Search and minimax hybrids. - Hendrik Baier; Mark H. M. Winands (CIG, 2013)

Monte Carlo Tree Search in Simultaneous Move Games with Applications to Goofspiel. - Marc Lanctot; Viliam Lisý; Mark H. M. Winands (CGW@IJCAI, 2013)

Monte Carlo *-Minimax Search. - Marc Lanctot; Abdallah Saffidine; Joel Veness; Christopher Archibald; Mark H. M. Winands (IJCAI, 2013)

LOA Wins Lines of Action Tournament. - Marc Lanctot; Mark H. M. Winands (J. Int. Comput. Games Assoc., 2013)

SIA Wins Surakarta Tournament. - Marc Lanctot; Mark H. M. Winands (J. Int. Comput. Games Assoc., 2013)

Search Policies in Multi-Player Games. - J. (Pim) A. M. Nijssen; Mark H. M. Winands (J. Int. Comput. Games Assoc., 2013)

Computer Games Workshop at IJCAI 2013. - Mark H. M. Winands; Tristan Cazenave (J. Int. Comput. Games Assoc., 2013)

Monte Carlo Tree Search with heuristic evaluations using implicit minimax backups. - Marc Lanctot; Mark H. M. Winands; Tom Pepels; Nathan R. Sturtevant (CIG, 2014)

Monte Carlo Tree Search variants for simultaneous move games. - Mandy J. W. Tak; Marc Lanctot; Mark H. M. Winands (CIG, 2014)

Monte-Carlo Tree Search and Minimax Hybrids with Heuristic Evaluation Functions. - Hendrik Baier; Mark H. M. Winands (CGW@ECAI, 2014)

Minimizing Simple and Cumulative Regret in Monte-Carlo Tree Search. - Tom Pepels; Tristan Cazenave; Mark H. M. Winands; Marc Lanctot (CGW@ECAI, 2014)

Quality-based Rewards for Monte-Carlo Tree Search Simulations. - Tom Pepels; Mandy J. W. Tak; Marc Lanctot; Mark H. M. Winands (ECAI, 2014)

ECAI Computer Games Workshop 2014. - Mark H. M. Winands; Tristan Cazenave (J. Int. Comput. Games Assoc., 2014)

Real-Time Monte Carlo Tree Search in Ms Pac-Man. - Tom Pepels; Mark H. M. Winands; Marc Lanctot (IEEE Trans. Comput. Intell. AI Games, 2014)

Decaying Simulation Strategies. - Mandy J. W. Tak; Mark H. M. Winands; Yngvi Björnsson (IEEE Trans. Comput. Intell. AI Games, 2014)

Sequential Halving for Partially Observable Games. - Tom Pepels; Tristan Cazenave; Mark H. M. Winands (CGW/GIGA@IJCAI, 2015)

The Surakarta Bot Revealed. - Mark H. M. Winands (CGW/GIGA@IJCAI, 2015)

MCTS-Minimax Hybrids. - Hendrik Baier; Mark H. M. Winands (IEEE Trans. Comput. Intell. AI Games, 2015)

Comparison of rapid action value estimation variants for general game playing. - Chiara F. Sironi; Mark H. M. Winands (CIG, 2016)

Enhancements for real-time Monte-Carlo Tree Search in General Video Game Playing. - Dennis J. N. J. Soemers; Chiara F. Sironi; Torsten Schuster; Mark H. M. Winands (CIG, 2016)

Hierarchical Task Network Plan Reuse for video games. - Dennis J. N. J. Soemers; Mark H. M. Winands (CIG, 2016)

Optimizing Propositional Networks. - Chiara F. Sironi; Mark H. M. Winands (CGW@IJCAI, 2016)

Algorithms for computing strategies in two-player simultaneous move games. - Branislav Bosanský; Viliam Lisý; Marc Lanctot; Jirí Cermák; Mark H. M. Winands (Artif. Intell., 2016)

Time Management for Monte Carlo Tree Search. - Hendrik Baier; Mark H. M. Winands (IEEE Trans. Comput. Intell. AI Games, 2016)

Guest Editorial: Physics-Based Simulation Games. - Jochen Renz; Risto Miikkulainen; Nathan R. Sturtevant; Mark H. M. Winands (IEEE Trans. Comput. Intell. AI Games, 2016)

Resource-gathering algorithms in the game of starcraft. - Martin L. M. Rooijackers; Mark H. M. Winands (CIG, 2017)

On-Line Parameter Tuning for Monte-Carlo Tree Search in General Game Playing. - Chiara F. Sironi; Mark H. M. Winands (CGW@IJCAI, 2017)

IJCAI Computer Games Workshop 2015. - Mark H. M. Winands; Tristan Cazenave (J. Int. Comput. Games Assoc., 2017)

Advances in Computer Games 2017. - Mark H. M. Winands; Richard Lorentz; Matej Guid (J. Int. Comput. Games Assoc., 2017)

Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees. - Dennis J. N. J. Soemers; Tim Brys; Kurt Driessens; Mark H. M. Winands; Ann Nowé (AAAI, 2018)

Implementing Propositional Networks on FPGA. - Cezary Siwek; Jakub Kowalski; Chiara F. Sironi; Mark H. M. Winands (Australasian Conference on Artificial Intelligence, 2018)

Wall Building in the Game of StarCraft with Terrain Considerations. - Martin L. M. Rooijackers; Mark H. M. Winands (CIG, 2018)

Analysis of Self-Adaptive Monte Carlo Tree Search in General Video Game Playing. - Chiara F. Sironi; Mark H. M. Winands (CIG, 2018)

Self-adaptive MCTS for General Video Game Playing. - Chiara F. Sironi; Jialin Liu 001; Diego Perez Liebana; Raluca D. Gaina; Ivan Bravi; Simon M. Lucas; Mark H. M. Winands (EvoApplications, 2018)

MCTS-Minimax Hybrids with State Evaluations (Extended Abstract). - Hendrik Baier; Mark H. M. Winands (IJCAI, 2018)

MCTS-Minimax Hybrids with State Evaluations. - Hendrik Baier; Mark H. M. Winands (J. Artif. Intell. Res., 2018)

The 2016 Two-Player GVGAI Competition. - Raluca D. Gaina; Adrien Couëtoux; Dennis J. N. J. Soemers; Mark H. M. Winands; Tom Vodopivec; Florian Kirchgeßner; Jialin Liu 001; Simon M. Lucas; Diego Pérez-Liébana (IEEE Trans. Games, 2018)

Optimising Level Generators for General Video Game AI. - Olve Drageset; Mark H. M. Winands; Raluca D. Gaina; Diego Perez Liebana (CoG, 2019)

Comparing Randomization Strategies for Search-Control Parameters in Monte-Carlo Tree Search. - Chiara F. Sironi; Mark H. M. Winands (CoG, 2019)

Foundations of Digital Archæoludology. - Cameron Browne; Dennis J. N. J. Soemers; Éric Piette; Matthew Stephenson; Michael Conrad; Walter Crist; Thierry Depaulis; Eddie Duggan; Fred Horn; Steven Kelk; Simon M. Lucas; João Pedro Neto; et al. (CoRR, 2019)

Special Issue on Computer Aided Game and Puzzle Design. - Cameron Browne; Antonios Liapis; Mark H. M. Winands (J. Int. Comput. Games Assoc., 2019)

Editorial. - Mark H. M. Winands (J. Int. Comput. Games Assoc., 2019)

Advances in Computer and Games Conference (ACG2019). - Mark H. M. Winands (J. Int. Comput. Games Assoc., 2019)

Editorial: Research trends. - Mark H. M. Winands (J. Int. Comput. Games Assoc., 2019)

Editorial: Get serious. - Mark H. M. Winands (J. Int. Comput. Games Assoc., 2019)

Editorial: Back to the roots. - Mark H. M. Winands (J. Int. Comput. Games Assoc., 2019)

Monte-Carlo Tree Search. - Mark H. M. Winands (Encyclopedia of Computer Graphics and Games, 2019)

Self-Adaptive Rolling Horizon Evolutionary Algorithms for General Video Game Playing. - Raluca D. Gaina; Diego Perez Liebana; Simon M. Lucas; Chiara F. Sironi; Mark H. M. Winands (CoG, 2020)

Ludii - The Ludemic General Game System. - Éric Piette; Dennis J. N. J. Soemers; Matthew Stephenson; Chiara F. Sironi; Mark H. M. Winands; Cameron Browne (ECAI, 2020)

Enhancing Playout Policy Adaptation for General Game Playing. - Chiara F. Sironi; Tristan Cazenave; Mark H. M. Winands (MCS@IJCAI, 2020)

Service Selection using Predictive Models and Monte-Carlo Tree Search. - Cliff Laschet; Jorn op den Buijs; Mark H. M. Winands; Steffen Pauws (CoRR, 2020)

Editorial: Stay the course. - Mark H. M. Winands (J. Int. Comput. Games Assoc., 2020)

Editorial: Commemorating computer chess. - Mark H. M. Winands (J. Int. Comput. Games Assoc., 2020)

Editorial: Many games, many authors. - Mark H. M. Winands (J. Int. Comput. Games Assoc., 2020)

2018 IEEE Conference on Computational Intelligence and Games (CIG 2018). - Mark H. M. Winands (Künstliche Intell., 2020)

Self-Adaptive Monte Carlo Tree Search in General Game Playing. - Chiara F. Sironi; Jialin Liu 001; Mark H. M. Winands (IEEE Trans. Games, 2020)

Automatic Goal Discovery in Subgoal Monte Carlo Tree Search. - Dominik Jeurissen; Mark H. M. Winands; Chiara F. Sironi; Diego Pérez-Liébana (CoG, 2021)

Adaptive General Search Framework for Games and Beyond. - Chiara F. Sironi; Mark H. M. Winands (CoG, 2021)

A tribute to Guy Haworth. - H. Jaap van den Herik; Mark H. M. Winands (J. Int. Comput. Games Assoc., 2021)

Analysis of the Impact of Randomization of Search-Control Parameters in Monte-Carlo Tree Search. - Chiara F. Sironi; Mark H. M. Winands (J. Artif. Intell. Res., 2021)

Split Moves for Monte-Carlo Tree Search. - Jakub Kowalski; Maksymilian Mika; Wojciech Pawlik; Jakub Sutowicz; Marek Szykula; Mark H. M. Winands (AAAI, 2022)

Combining Monte-Carlo Tree Search with Proof-Number Search. - Elliot Doe; Mark H. M. Winands; Dennis J. N. J. Soemers; Cameron Browne (CoG, 2022)

Monte-Carlo Tree-Search for Leveraging Performance of Blackbox Job-Shop Scheduling Heuristics. - Florian Wimmenauer; Matús Mihalák; Mark H. M. Winands (CoRR, 2022)

Monte Carlo Tree Search as an intelligent search tool in structural design problems. - Leonardo Rossi; Mark H. M. Winands; Christoph Butenweg (Eng. Comput., 2022)

Explainable Search: An Exploratory Study in SameGame. - Chiara F. Sironi; Anna Wilbik; Mark H. M. Winands (CoG, 2023)

Towards Explainable Linguistic Summaries. - Carla Wrede; Mark H. M. Winands; Evgueni N. Smirnov; Anna Wilbik (FUZZ, 2023)

Proof Number Based Monte-Carlo Tree Search. - Elliot Doe; Mark H. M. Winands; Jakub Kowalski; Dennis J. N. J. Soemers; Daniel Górski; Cameron Browne (CoRR, 2023)

Editorial: Rankings and ratings. - Tristan Cazenave; Mark H. M. Winands (J. Int. Comput. Games Assoc., 2023)

Editorial: Looking back, looking forward. - Mark H. M. Winands (J. Int. Comput. Games Assoc., 2023)

Editorial: Many quests. - Mark H. M. Winands (J. Int. Comput. Games Assoc., 2023)

Anytime Sequential Halving in Monte-Carlo Tree Search. - Dominic Sagers; Mark H. M. Winands; Dennis J. N. J. Soemers (CG, 2024)

Ancestor-Based α-β Bounds for Monte-Carlo Tree Search. - Tom Pepels; Mark H. M. Winands (CoG, 2024)

Towards a Characterisation of Monte-Carlo Tree Search Performance in Different Games. - Dennis J. N. J. Soemers; Guillaume Bams; Max Persoon; Marco Rietjens; Dimitar Sladic; Stefan Stefanov; Kurt Driessens; Mark H. M. Winands (CoG, 2024)

Scheduling Single AGV in Blocking Flow-Shop with Identical Jobs. - Erik Boom; Matús Mihalák; Frank Thuijsman; Mark H. M. Winands (ICORES, 2024)

Editorial: Follow-ups. - Mark H. M. Winands (J. Int. Comput. Games Assoc., 2024)

Editorial: New horizons. - Mark H. M. Winands (J. Int. Comput. Games Assoc., 2024)

Dynamic Conformal Prediction for Multi-Target Regression: Optimising Informational Efficiency under Joint Validity. - Filip Schlembach; Evgueni N. Smirnov; Mark H. M. Winands (COPA, 2025)

Environment Descriptions for Usability and Generalisation in Reinforcement Learning. - Dennis J. N. J. Soemers; Spyridon Samothrakis; Kurt Driessens; Mark H. M. Winands (ICAART (3), 2025)

Quantum Circuit Design using a Progressive Widening Monte Carlo Tree Search. - Vincenzo Lipardi; Domenica Dibenedetto; Georgios Stamoulis; Mark H. M. Winands (CoRR, 2025)

Proof Number-Based Monte Carlo Tree Search. - Jakub Kowalski; Elliot Doe; Mark H. M. Winands; Daniel Górski; Dennis J. N. J. Soemers (IEEE Trans. Games, 2025)

Towards Explaining Monte-Carlo Tree Search by Using Its Enhancements. - Jakub Kowalski; Mark H. M. Winands; Maksymilian Wisniewski; Stanislaw Reda; Anna Wilbik (CoRR, 2025)

Generalized Proof-Number Monte-Carlo Tree Search. - Jakub Kowalski; Dennis J. N. J. Soemers; Szymon Kosakowski; Mark H. M. Winands (CoRR, 2025)

Conformal multistep-ahead multivariate time-series forecasting. - Filip Schlembach; Evgueni N. Smirnov; Irena Koprinska; Mark H. M. Winands (Mach. Learn., 2025)