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Deep Reinforcement Learning


Jan 04, 2022
Aske Plaat

* Preprint of graduate textbook, with permission from the publisher 

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Potential-based Reward Shaping in Sokoban


Sep 10, 2021
Zhao Yang, Mike Preuss, Aske Plaat


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High-Accuracy Model-Based Reinforcement Learning, a Survey


Jul 17, 2021
Aske Plaat, Walter Kosters, Mike Preuss

* arXiv admin note: text overlap with arXiv:2008.05598 

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Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches


Jun 29, 2021
Annie Wong, Thomas Bäck, Anna V. Kononova, Aske Plaat

* 37 pages, 6 figures 

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Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning


May 31, 2021
Matthias Müller-Brockhausen, Mike Preuss, Aske Plaat


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Transfer Learning and Curriculum Learning in Sokoban


May 25, 2021
Zhao Yang, Mike Preuss, Aske Plaat


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Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning


May 13, 2021
Hui Wang, Mike Preuss, Aske Plaat


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Stateless Neural Meta-Learning using Second-Order Gradients


Apr 21, 2021
Mike Huisman, Aske Plaat, Jan N. van Rijn


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Visualizing MuZero Models


Mar 03, 2021
Joery A. de Vries, Ken S. Voskuil, Thomas M. Moerland, Aske Plaat


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Multiple Node Immunisation for Preventing Epidemics on Networks by Exact Multiobjective Optimisation of Cost and Shield-Value


Oct 13, 2020
Michael Emmerich, Joost Nibbeling, Marios Kefalas, Aske Plaat

* Based on the Master Thesis of Joost Nibbeling, LIACS, Leiden University, The Netherlands 

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A Survey of Deep Meta-Learning


Oct 07, 2020
Mike Huisman, Jan N. van Rijn, Aske Plaat

* Extended version of book chapter in 'Metalearning: Applications to Automated Machine Learning and Data Mining' (2nd edition, forthcoming) 

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Model-Based Deep Reinforcement Learning for High-Dimensional Problems, a Survey


Aug 11, 2020
Aske Plaat, Walter Kosters, Mike Preuss


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Tackling Morpion Solitaire with AlphaZero-likeRanked Reward Reinforcement Learning


Jun 14, 2020
Hui Wang, Mike Preuss, Michael Emmerich, Aske Plaat

* 4 pages, 2 figures. the first/ongoing attempt to tackle Morpion Solitaire using ranked reward reinforcement learning. submitted to SYNASC2020 

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The Second Type of Uncertainty in Monte Carlo Tree Search


May 19, 2020
Thomas M Moerland, Joost Broekens, Aske Plaat, Catholijn M Jonker

* arXiv admin note: text overlap with arXiv:1805.09218 

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Warm-Start AlphaZero Self-Play Search Enhancements


Apr 26, 2020
Hui Wang, Mike Preuss, Aske Plaat


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A New Challenge: Approaching Tetris Link with AI


Apr 01, 2020
Matthias Muller-Brockhausen, Mike Preuss, Aske Plaat


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Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play?


Mar 12, 2020
Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat


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Fault-Tolerant Nanosatellite Computing on a Budget


Mar 21, 2019
Christian M. Fuchs, Nadia Murillo, Aske Plaat, Erik Van der Kouwe, Daniel Harsono, Todor Stefanov

* Conference on Radiation Effects on Components and Systems 2018 (RADECS) 

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Hyper-Parameter Sweep on AlphaZero General


Mar 19, 2019
Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat

* 19 pages 13 figures 

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Assessing the Potential of Classical Q-learning in General Game Playing


Oct 14, 2018
Hui Wang, Michael Emmerich, Aske Plaat

* arXiv admin note: substantial text overlap with arXiv:1802.05944 

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A0C: Alpha Zero in Continuous Action Space


May 24, 2018
Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker


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Monte Carlo Tree Search for Asymmetric Trees


May 23, 2018
Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker


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Monte Carlo Q-learning for General Game Playing


May 21, 2018
Hui Wang, Michael Emmerich, Aske Plaat


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Structured Parallel Programming for Monte Carlo Tree Search


Apr 02, 2017
S. Ali Mirsoleimani, Aske Plaat, Jaap van den Herik, Jos Vermaseren

* 9 pages 

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Ensemble UCT Needs High Exploitation


Sep 28, 2015
S. Ali Mirsoleimani, Aske Plaat, Jaap van den Herik

* 7 pages, 7 figures 

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Best-First and Depth-First Minimax Search in Practice


May 07, 2015
Aske Plaat, Jonathan Schaeffer, Wim Pijls, Arie de Bruin

* Computer Science in the Netherlands 1995. arXiv admin note: text overlap with arXiv:1404.1515 

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Data Science and Ebola


Apr 11, 2015
Aske Plaat

* Inaugural lecture Leiden University 

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Why Local Search Excels in Expression Simplification


Sep 18, 2014
Ben Ruijl, Aske Plaat, Jos Vermaseren, Jaap van den Herik


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HEPGAME and the Simplification of Expressions


May 25, 2014
Ben Ruijl, Jos Vermaseren, Aske Plaat, Jaap van den Herik

* Keynote at the 11th International Workshop on Boolean Problems, Freiberg Germany 

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