Mark H. M. Winands

According to our database, Mark H. M. Winands authored at least 118 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Editorial: New horizons.

Mark H. M. Winands

J. Int. Comput. Games Assoc., 2024

Editorial: Follow-ups.

Mark H. M. Winands

J. Int. Comput. Games Assoc., 2024

Environment Descriptions for Usability and Generalisation in Reinforcement Learning.

Dennis J. N. J. Soemers, Spyridon Samothrakis, Kurt Driessens, Mark H. M. Winands

CoRR, 2024

Anytime Sequential Halving in Monte-Carlo Tree Search.

Dominic Sagers, Mark H. M. Winands, Dennis J. N. J. Soemers

CoRR, 2024

Scheduling Single AGV in Blocking Flow-Shop with Identical Jobs.

Erik Boom, Matús Mihalák, Frank Thuijsman, Mark H. M. Winands

Proceedings of the 13th International Conference on Operations Research and Enterprise Systems, 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

Proceedings of the IEEE Conference on Games, 2024

Ancestor-Based α-β Bounds for Monte-Carlo Tree Search.

Tom Pepels, Mark H. M. Winands

Proceedings of the IEEE Conference on Games, 2024

2023

Editorial: Many quests.

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: Rankings and ratings.

Tristan Cazenave, Mark H. M. Winands

J. Int. Comput. Games Assoc., 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

Towards Explainable Linguistic Summaries.

Carla Wrede, Mark H. M. Winands, Evgueni N. Smirnov, Anna Wilbik

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

Explainable Search: An Exploratory Study in SameGame.

Chiara F. Sironi, Anna Wilbik, Mark H. M. Winands

Proceedings of the IEEE Conference on Games, 2023

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

Monte-Carlo Tree-Search for Leveraging Performance of Blackbox Job-Shop Scheduling Heuristics.

Florian Wimmenauer, Matús Mihalák, Mark H. M. Winands

CoRR, 2022

Combining Monte-Carlo Tree Search with Proof-Number Search.

Elliot Doe, Mark H. M. Winands, Dennis J. N. J. Soemers, Cameron Browne

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

Split Moves for Monte-Carlo Tree Search.

Jakub Kowalski, Maksymilian Mika, Wojciech Pawlik, Jakub Sutowicz, Marek Szykula, Mark H. M. Winands

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

A tribute to Guy Haworth.

H. Jaap van den Herik, Mark H. M. Winands

J. Int. Comput. Games Assoc., 2021

Adaptive General Search Framework for Games and Beyond.

Chiara F. Sironi, Mark H. M. Winands

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

Automatic Goal Discovery in Subgoal Monte Carlo Tree Search.

Dominik Jeurissen, Mark H. M. Winands, Chiara F. Sironi, Diego Pérez-Liébana

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020

Self-Adaptive Monte Carlo Tree Search in General Game Playing.

Chiara F. Sironi, Jialin Liu, Mark H. M. Winands

IEEE Trans. Games, 2020

2018 IEEE Conference on Computational Intelligence and Games (CIG 2018).

Mark H. M. Winands

Künstliche Intell., 2020

Editorial: Many games, many authors.

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: Stay the course.

Mark H. M. Winands

J. Int. Comput. Games Assoc., 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

Ludii - The Ludemic General Game System.

Éric Piette, Dennis J. N. J. Soemers, Matthew Stephenson, Chiara F. Sironi, Mark H. M. Winands, Cameron Browne

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

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

Proceedings of the IEEE Conference on Games, 2020

2019

Monte-Carlo Tree Search.

Mark H. M. Winands

Proceedings of the Encyclopedia of Computer Graphics and Games., 2019

Editorial: Back to the roots.

Mark H. M. Winands

J. Int. Comput. Games Assoc., 2019

Editorial: Get serious.

Mark H. M. Winands

J. Int. Comput. Games Assoc., 2019

Editorial: Research trends.

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.

Mark H. M. Winands

J. Int. Comput. Games Assoc., 2019

Special Issue on Computer Aided Game and Puzzle Design.

Cameron Browne, Antonios Liapis, Mark H. M. Winands

J. Int. Comput. Games Assoc., 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, David Parlett, Abdallah Saffidine, Ulrich Schädler, Jorge Nuno Silva, Alex de Voogt, Mark H. M. Winands

CoRR, 2019

Comparing Randomization Strategies for Search-Control Parameters in Monte-Carlo Tree Search.

Chiara F. Sironi, Mark H. M. Winands

Proceedings of the IEEE Conference on Games, 2019

Optimising Level Generators for General Video Game AI.

Olve Drageset, Mark H. M. Winands, Raluca D. Gaina, Diego Perez Liebana

Proceedings of the IEEE Conference on Games, 2019

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, Simon M. Lucas, Diego Pérez-Liébana

IEEE Trans. Games, 2018

MCTS-Minimax Hybrids with State Evaluations.

Hendrik Baier, Mark H. M. Winands

J. Artif. Intell. Res., 2018

MCTS-Minimax Hybrids with State Evaluations (Extended Abstract).

Hendrik Baier, Mark H. M. Winands

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Self-adaptive MCTS for General Video Game Playing.

Chiara F. Sironi, Jialin Liu, Diego Perez Liebana, Raluca D. Gaina, Ivan Bravi, Simon M. Lucas, Mark H. M. Winands

Proceedings of the Applications of Evolutionary Computation, 2018

Analysis of Self-Adaptive Monte Carlo Tree Search in General Video Game Playing.

Chiara F. Sironi, Mark H. M. Winands

Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

Wall Building in the Game of StarCraft with Terrain Considerations.

Martin L. M. Rooijackers, Mark H. M. Winands

Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

Implementing Propositional Networks on FPGA.

Cezary Siwek, Jakub Kowalski, Chiara F. Sironi, Mark H. M. Winands

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

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

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Advances in Computer Games 2017.

Mark H. M. Winands, Richard Lorentz, Matej Guid

J. Int. Comput. Games Assoc., 2017

IJCAI Computer Games Workshop 2015.

Mark H. M. Winands, Tristan Cazenave

J. Int. Comput. Games Assoc., 2017

On-Line Parameter Tuning for Monte-Carlo Tree Search in General Game Playing.

Chiara F. Sironi, Mark H. M. Winands

Proceedings of the Computer Games - 6th Workshop, 2017

Resource-gathering algorithms in the game of starcraft.

Martin L. M. Rooijackers, Mark H. M. Winands

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2017

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

Time Management for Monte Carlo Tree Search.

Hendrik Baier, Mark H. M. Winands

IEEE Trans. Comput. Intell. AI Games, 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

Optimizing Propositional Networks.

Chiara F. Sironi, Mark H. M. Winands

Proceedings of the Computer Games - 5th Workshop on Computer Games, 2016

Hierarchical Task Network Plan Reuse for video games.

Dennis J. N. J. Soemers, Mark H. M. Winands

Proceedings of the IEEE Conference on Computational Intelligence and Games, 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

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

Comparison of rapid action value estimation variants for general game playing.

Chiara F. Sironi, Mark H. M. Winands

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

2015

MCTS-Minimax Hybrids.

Hendrik Baier, Mark H. M. Winands

IEEE Trans. Comput. Intell. AI Games, 2015

The Surakarta Bot Revealed.

Mark H. M. Winands

Proceedings of the Computer Games - Fourth Workshop on Computer Games, 2015

Sequential Halving for Partially Observable Games.

Tom Pepels, Tristan Cazenave, Mark H. M. Winands

Proceedings of the Computer Games - Fourth Workshop on Computer Games, 2015

2014

Decaying Simulation Strategies.

Mandy J. W. Tak, Mark H. M. Winands, Yngvi Björnsson

IEEE Trans. Comput. Intell. AI Games, 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

ECAI Computer Games Workshop 2014.

Mark H. M. Winands, Tristan Cazenave

J. Int. Comput. Games Assoc., 2014

Quality-based Rewards for Monte-Carlo Tree Search Simulations.

Tom Pepels, Mandy J. W. Tak, Marc Lanctot, Mark H. M. Winands

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Minimizing Simple and Cumulative Regret in Monte-Carlo Tree Search.

Tom Pepels, Tristan Cazenave, Mark H. M. Winands, Marc Lanctot

Proceedings of the Computer Games - Third Workshop on Computer Games, 2014

Monte-Carlo Tree Search and Minimax Hybrids with Heuristic Evaluation Functions.

Hendrik Baier, Mark H. M. Winands

Proceedings of the Computer Games - Third Workshop on Computer Games, 2014

Monte Carlo Tree Search variants for simultaneous move games.

Mandy J. W. Tak, Marc Lanctot, Mark H. M. Winands

Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

Monte Carlo Tree Search with heuristic evaluations using implicit minimax backups.

Marc Lanctot, Mark H. M. Winands, Tom Pepels, Nathan R. Sturtevant

Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

2013

Computer Games Workshop at IJCAI 2013.

Mark H. M. Winands, Tristan Cazenave

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

SIA Wins Surakarta Tournament.

Marc Lanctot, Mark H. M. Winands

J. Int. Comput. Games Assoc., 2013

LOA Wins Lines of Action Tournament.

Marc Lanctot, Mark H. M. Winands

J. Int. Comput. Games Assoc., 2013

Monte Carlo *-Minimax Search.

Marc Lanctot, Abdallah Saffidine, Joel Veness, Christopher Archibald, Mark H. M. Winands

Proceedings of the IJCAI 2013, 2013

Monte Carlo Tree Search in Simultaneous Move Games with Applications to Goofspiel.

Marc Lanctot, Viliam Lisý, Mark H. M. Winands

Proceedings of the Computer Games - Workshop on Computer Games, 2013

Monte-Carlo Tree Search and minimax hybrids.

Hendrik Baier, Mark H. M. Winands

Proceedings of the 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013

Improving Best-Reply Search.

Markus Esser, Michael Gras, Mark H. M. Winands, Maarten P. D. Schadd, Marc Lanctot

Proceedings of the Computers and Games - 8th International Conference, 2013

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

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

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

Computer Games Workshop at ECAI 2012.

Mark H. M. Winands, Tristan Cazenave

J. Int. Comput. Games Assoc., 2012

Game-Tree Search Using Proof Numbers: The First Twenty Years.

Akihiro Kishimoto, Mark H. M. Winands, Martin Müller, Jahn-Takeshi Saito

J. Int. Comput. Games Assoc., 2012

Preface for the special issue on Games and AI.

Mark H. M. Winands, Yngvi Björnsson, Karl Tuyls

Entertain. Comput., 2012

Nested Monte-Carlo Tree Search for Online Planning in Large MDPs.

Hendrik Baier, Mark H. M. Winands

Proceedings of the ECAI 2012, 2012

Enhancements for Monte-Carlo Tree Search in Ms Pac-Man.

Tom Pepels, Mark H. M. Winands

Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012

Beam Monte-Carlo Tree Search.

Hendrik Baier, Mark H. M. Winands

Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012

2011

Best Reply Search for Multiplayer Games.

Maarten P. D. Schadd, Mark H. M. Winands

IEEE Trans. Comput. Intell. AI Games, 2011

αβ-based play-outs in Monte-Carlo Tree Search.

Mark H. M. Winands, Yngvi Björnsson

Proceedings of the 2011 IEEE Conference on Computational Intelligence and Games, 2011

Monte-Carlo Tree Search for the game of Scotland Yard.

J. (Pim) A. M. Nijssen, Mark H. M. Winands

Proceedings of the 2011 IEEE Conference on Computational Intelligence and Games, 2011

Monte-Carlo Tree Search Enhancements for Havannah.

Jan A. Stankiewicz, Mark H. M. Winands, Jos W. H. M. Uiterwijk

Proceedings of the Advances in Computer Games - 13th International Conference, 2011

Playout Search for Monte-Carlo Tree Search in Multi-player Games.

J. (Pim) A. M. Nijssen, Mark H. M. Winands

Proceedings of the Advances in Computer Games - 13th International Conference, 2011

Time Management for Monte-Carlo Tree Search in Go.

Hendrik Baier, Mark H. M. Winands

Proceedings of the Advances in Computer Games - 13th International Conference, 2011

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

A selective move generator for the game axis and allies.

David Lupien St-Pierre, Mark H. M. Winands, David A. Watt

Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, 2010

Paranoid Proof-Number Search.

Jahn-Takeshi Saito, Mark H. M. Winands

Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, 2010

Evaluation-Function Based Proof-Number Search.

Mark H. M. Winands, Maarten P. D. Schadd

Proceedings of the Computers and Games - 7th International Conference, 2010

Enhancements for Multi-Player Monte-Carlo Tree Search.

J. (Pim) A. M. Nijssen, Mark H. M. Winands

Proceedings of the Computers and Games - 7th International Conference, 2010

2009

Solving Go for Rectangular Boards.

Erik C. D. van der Werf, Mark H. M. Winands

J. Int. Comput. Games Assoc., 2009

CHANCEPROBCUT: Forward pruning in chance nodes.

Maarten P. D. Schadd, Mark H. M. Winands, Jos W. H. M. Uiterwijk

Proceedings of the 2009 IEEE Symposium on Computational Intelligence and Games, 2009

Evaluation Function Based Monte-Carlo LOA.

Mark H. M. Winands, Yngvi Björnsson

Proceedings of the Advances in Computer Games, 12th International Conference, 2009

Automated Discovery of Search-Extension Features.

Pálmi Skowronski, Yngvi Björnsson, Mark H. M. Winands

Proceedings of the Advances in Computer Games, 12th International Conference, 2009

Randomized Parallel Proof-Number Search.

Jahn-Takeshi Saito, Mark H. M. Winands, H. Jaap van den Herik

Proceedings of the Advances in Computer Games, 12th International Conference, 2009

2008

Proof-Number Search and Its Variants.

H. Jaap van den Herik, Mark H. M. Winands

Proceedings of the Oppositional Concepts in Computational Intelligence, 2008

6×6 LOA is Solved.

Mark H. M. Winands

J. Int. Comput. Games Assoc., 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

Monte-Carlo Tree Search Solver.

Mark H. M. Winands, Yngvi Björnsson, Jahn-Takeshi Saito

Proceedings of the Computers and Games, 6th International Conference, CG 2008, Beijing, 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

Proceedings of the Computers and Games, 6th International Conference, CG 2008, Beijing, 2008

Parallel Monte-Carlo Tree Search.

Guillaume Chaslot, Mark H. M. Winands, H. Jaap van den Herik

Proceedings of the Computers and Games, 6th International Conference, CG 2008, Beijing, 2008

2007

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

2006

RSPSA: Enhanced Parameter Optimization in Games.

Levente Kocsis, Csaba Szepesvári, Mark H. M. Winands

Proceedings of the Advances in Computer Games, 11th International Conference, 2006

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

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

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

The Relative History Heuristic.

Mark H. M. Winands, Erik C. D. van der Werf, H. Jaap van den Herik, Jos W. H. M. Uiterwijk

Proceedings of the Computers and Games, 4th International Conference, 2004

2003

An Evaluation Function for Lines of Action.

Mark H. M. Winands, H. Jaap van den Herik, Jos W. H. M. Uiterwijk

Proceedings of the Advances in Computer Games, 2003

2002

Learning in Lines of Action.

Mark H. M. Winands, Levente Kocsis, Jos W. H. M. Uiterwijk, H. Jaap van den Herik

Proceedings of the 3rd International Conference on Intelligent Games and Simulation (GAME-ON 2002), 2002

PDS-PN: A New Proof-Number Search Algorithm.

Mark H. M. Winands, Jos W. H. M. Uiterwijk, H. Jaap van den Herik

Proceedings of the Computers and Games, Third International Conference, CG 2002, Edmonton, 2002

2001

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