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ORCIDAske Plaat
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- affiliation: Leiden University, The Netherlands
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2020 – today
- 2024
[j41]Michiel van der Meer
, Enrico Liscio, Catholijn M. Jonker, Aske Plaat, Piek Vossen, Pradeep K. Murukannaiah:
A Hybrid Intelligence Method for Argument Mining. J. Artif. Intell. Res. 80: 1187-1222 (2024)- [j40]Mike Huisman, Aske Plaat, Jan N. van Rijn:
Subspace Adaptation Prior for Few-Shot Learning. Mach. Learn. 113(2): 725-752 (2024) - [j39]Mike Huisman, Aske Plaat, Jan N. van Rijn:
Understanding transfer learning and gradient-based meta-learning techniques. Mach. Learn. 113(7): 4113-4132 (2024) - [c65]Andreas Sauter, Nicolò Botteghi, Erman Acar, Aske Plaat:
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning. AAMAS 2024: 1664-1672 - [i67]Riccardo Majellaro, Jonathan Collu, Aske Plaat, Thomas M. Moerland:
Explicitly Disentangled Representations in Object-Centric Learning. CoRR abs/2401.10148 (2024) - [i66]Andreas W. M. Sauter, Nicolò Botteghi, Erman Acar, Aske Plaat:
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning. CoRR abs/2401.16974 (2024) - [i65]Jonathan Collu, Riccardo Majellaro, Aske Plaat, Thomas M. Moerland:
Slot Structured World Models. CoRR abs/2402.03326 (2024) - [i64]Annie Wong, Jacob de Nobel, Thomas Bäck, Aske Plaat, Anna V. Kononova:
Solving Deep Reinforcement Learning Benchmarks with Linear Policy Networks. CoRR abs/2402.06912 (2024) - [i63]Michiel van der Meer, Enrico Liscio, Catholijn M. Jonker, Aske Plaat, Piek Vossen, Pradeep K. Murukannaiah:
A Hybrid Intelligence Method for Argument Mining. CoRR abs/2403.09713 (2024) - [i62]Aske Plaat:
Research Re: search & Re-search. CoRR abs/2403.13705 (2024) - [i61]Andreas W. M. Sauter, Erman Acar, Aske Plaat:
CausalPlayground: Addressing Data-Generation Requirements in Cutting-Edge Causality Research. CoRR abs/2405.13092 (2024) - [i60]Aske Plaat, Annie Wong, Suzan Verberne, Joost Broekens, Niki van Stein, Thomas Bäck:
Reasoning with Large Language Models, a Survey. CoRR abs/2407.11511 (2024) - [i59]Koen Ponse, Felix Kleuker, Márton Fejér, Álvaro Serra-Gómez, Aske Plaat, Thomas M. Moerland:
Reinforcement Learning for Sustainable Energy: A Survey. CoRR abs/2407.18597 (2024) - 2023
- [j38]Annie Wong, Thomas Bäck, Anna V. Kononova, Aske Plaat:
Deep multiagent reinforcement learning: challenges and directions. Artif. Intell. Rev. 56(6): 5023-5056 (2023) - [j37]Aske Plaat, Walter A. Kosters, Mike Preuss:
High-accuracy model-based reinforcement learning, a survey. Artif. Intell. Rev. 56(9): 9541-9573 (2023) - [j36]Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker:
Model-based Reinforcement Learning: A Survey. Found. Trends Mach. Learn. 16(1): 1-118 (2023) - [j35]Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat:
Analysis of Hyper-Parameters for AlphaZero-Like Deep Reinforcement Learning. Int. J. Inf. Technol. Decis. Mak. 22(2): 829-853 (2023) - [j34]Mike Huisman, Thomas M. Moerland, Aske Plaat, Jan N. van Rijn:
Are LSTMs good few-shot learners? Mach. Learn. 112(11): 4635-4662 (2023) - [c64]Joost Broekens, Bernhard Hilpert, Suzan Verberne, Kim Baraka, Patrick Gebhard, Aske Plaat:
Fine-grained Affective Processing Capabilities Emerging from Large Language Models. ACII 2023: 1-8 - [c63]Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat:
Continuous Episodic Control. CoG 2023: 1-8 - [c62]Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat:
Two-Memory Reinforcement Learning. CoG 2023: 1-9 - [c61]Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat:
First Go, then Post-Explore: The Benefits of Post-Exploration in Intrinsic Motivation. ICAART (2) 2023: 27-34 - [c60]Marianne Bossema, Somaya Ben Allouch, Aske Plaat, Rob Saunders:
Human-Robot Co-creativity: A Scoping Review : Informing a Research Agenda for Human-Robot Co-Creativity with Older Adults. RO-MAN 2023: 988-995 - [i58]Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat:
Two-Memory Reinforcement Learning. CoRR abs/2304.10098 (2023) - [i57]Joost Broekens, Bernhard Hilpert, Suzan Verberne, Kim Baraka, Patrick Gebhard, Aske Plaat:
Fine-grained Affective Processing Capabilities Emerging from Large Language Models. CoRR abs/2309.01664 (2023) - [i56]Marianne Bossema, Somaya Ben Allouch, Aske Plaat, Rob Saunders:
Human-Robot Co-Creativity: A Scoping Review - Informing a Research Agenda for Human-Robot Co-Creativity with Older Adults. CoRR abs/2309.07033 (2023) - [i55]Mike Huisman, Aske Plaat, Jan N. van Rijn:
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques. CoRR abs/2310.06148 (2023) - [i54]Mike Huisman, Aske Plaat, Jan N. van Rijn:
Subspace Adaptation Prior for Few-Shot Learning. CoRR abs/2310.09028 (2023) - [i53]Mike Huisman, Thomas M. Moerland, Aske Plaat, Jan N. van Rijn:
Are LSTMs Good Few-Shot Learners? CoRR abs/2310.14139 (2023) - [i52]Thomas M. Moerland, Matthias Müller-Brockhausen, Zhao Yang, Andrius Bernatavicius, Koen Ponse, Tom Kouwenhoven, Andreas Sauter, Michiel van der Meer, Bram M. Renting, Aske Plaat:
EduGym: An Environment Suite for Reinforcement Learning Education. CoRR abs/2311.10590 (2023) - 2022
- [b2]Aske Plaat:
Deep Reinforcement Learning. Springer 2022, ISBN 978-981-19-0637-4, pp. 1-406 - [j33]Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker:
A Unifying Framework for Reinforcement Learning and Planning. Frontiers Artif. Intell. 5 (2022) - [j32]Mike Huisman, Aske Plaat, Jan N. van Rijn:
Stateless neural meta-learning using second-order gradients. Mach. Learn. 111(9): 3227-3244 (2022) - [c59]Matthias Müller-Brockhausen, Aske Plaat, Mike Preuss:
Towards verifiable Benchmarks for Reinforcement Learning. CoG 2022: 159-166 - [c58]Marcello A. Gómez Maureira, Max J. van Duijn, Carolien Rieffe, Aske Plaat:
Academic Games - Mapping the Use of Video Games in Research Contexts. FDG 2022: 4:1-4:10 - [c57]Michiel van der Meer, Enrico Liscio, Catholijn M. Jonker, Aske Plaat, Piek Vossen, Pradeep K. Murukannaiah:
HyEnA: A Hybrid Method for Extracting Arguments from Opinions. HHAI 2022: 17-31 - [i51]Aske Plaat:
Deep Reinforcement Learning. CoRR abs/2201.02135 (2022) - [i50]Matthias Müller-Brockhausen, Aske Plaat, Mike Preuss:
Reliable validation of Reinforcement Learning Benchmarks. CoRR abs/2203.01075 (2022) - [i49]Joery A. de Vries, Thomas M. Moerland, Aske Plaat:
On Credit Assignment in Hierarchical Reinforcement Learning. CoRR abs/2203.03292 (2022) - [i48]Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat:
When to Go, and When to Explore: The Benefit of Post-Exploration in Intrinsic Motivation. CoRR abs/2203.16311 (2022) - [i47]Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat:
Continuous Episodic Control. CoRR abs/2211.15183 (2022) - [i46]Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat:
First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation. CoRR abs/2212.03251 (2022) - 2021
- [j31]Mike Huisman, Jan N. van Rijn, Aske Plaat:
A survey of deep meta-learning. Artif. Intell. Rev. 54(6): 4483-4541 (2021) - [j30]Lise Stork, Andreas Weber, H. Jaap van den Herik, Aske Plaat, Fons J. Verbeek, Katherine Wolstencroft:
Large-scale zero-shot learning in the wild: Classifying zoological illustrations. Ecol. Informatics 62: 101222 (2021) - [j29]Marcello A. Gómez Maureira, Isabelle Kniestedt, Max J. van Duijn, Carolien Rieffe, Aske Plaat:
Level Design Patterns That Invoke Curiosity-Driven Exploration: An Empirical Study Across Multiple Conditions. Proc. ACM Hum. Comput. Interact. 5(CHI PLAY): 271:1-271:32 (2021) - [c56]Zhao Yang, Mike Preuss, Aske Plaat:
Transfer Learning and Curriculum Learning in Sokoban. BNAIC/BENELEARN 2021: 187-200 - [c55]Matthias Müller-Brockhausen, Mike Preuss, Aske Plaat:
A New Challenge: Approaching Tetris Link with AI. CoG 2021: 1-8 - [c54]Matthias Müller-Brockhausen, Mike Preuss, Aske Plaat:
Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning. CoG 2021: 1-8 - [c53]Hui Wang, Mike Preuss, Aske Plaat:
Adaptive Warm-Start MCTS in AlphaZero-Like Deep Reinforcement Learning. PRICAI (3) 2021: 60-71 - [c52]Duncan Kampert, Ana Lucia Varbanescu, Matthias Müller-Brockhausen, Aske Plaat:
Mimicking the Human Approach in the Game of Hive. SSCI 2021: 1-8 - [i45]Joery A. de Vries, Ken S. Voskuil, Thomas M. Moerland, Aske Plaat:
Visualizing MuZero Models. CoRR abs/2102.12924 (2021) - [i44]Mike Huisman, Aske Plaat, Jan N. van Rijn:
Stateless Neural Meta-Learning using Second-Order Gradients. CoRR abs/2104.10527 (2021) - [i43]Hui Wang, Mike Preuss, Aske Plaat:
Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning. CoRR abs/2105.06136 (2021) - [i42]Zhao Yang, Mike Preuss, Aske Plaat:
Transfer Learning and Curriculum Learning in Sokoban. CoRR abs/2105.11702 (2021) - [i41]Matthias Müller-Brockhausen, Mike Preuss, Aske Plaat:
Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning. CoRR abs/2105.14780 (2021) - [i40]Annie Wong, Thomas Bäck, Anna V. Kononova, Aske Plaat:
Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches. CoRR abs/2106.15691 (2021) - [i39]Aske Plaat, Walter A. Kosters, Mike Preuss:
High-Accuracy Model-Based Reinforcement Learning, a Survey. CoRR abs/2107.08241 (2021) - [i38]Zhao Yang, Mike Preuss, Aske Plaat:
Potential-based Reward Shaping in Sokoban. CoRR abs/2109.05022 (2021) - 2020
- [b1]Aske Plaat:
Learning to Play - Reinforcement Learning and Games. Springer 2020, ISBN 978-3-030-59237-0, pp. 1-330 - [c51]Hui Wang, Mike Preuss, Aske Plaat:
Warm-Start AlphaZero Self-play Search Enhancements. PPSN (2) 2020: 528-542 - [c50]Hui Wang, Mike Preuss, Michael Emmerich, Aske Plaat:
Tackling Morpion Solitaire with AlphaZero-like Ranked Reward Reinforcement Learning. SYNASC 2020: 149-152 - [i37]Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat:
Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play? CoRR abs/2003.05988 (2020) - [i36]Matthias Müller-Brockhausen, Mike Preuss, Aske Plaat:
A New Challenge: Approaching Tetris Link with AI. CoRR abs/2004.00377 (2020) - [i35]Hui Wang, Mike Preuss, Aske Plaat:
Warm-Start AlphaZero Self-Play Search Enhancements. CoRR abs/2004.12357 (2020) - [i34]Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker:
The Second Type of Uncertainty in Monte Carlo Tree Search. CoRR abs/2005.09645 (2020) - [i33]Hui Wang, Mike Preuss, Michael Emmerich, Aske Plaat:
Tackling Morpion Solitaire with AlphaZero-likeRanked Reward Reinforcement Learning. CoRR abs/2006.07970 (2020) - [i32]Aske Plaat, Walter A. Kosters, Mike Preuss:
Model-Based Deep Reinforcement Learning for High-Dimensional Problems, a Survey. CoRR abs/2008.05598 (2020) - [i31]Mike Huisman, Jan N. van Rijn, Aske Plaat:
A Survey of Deep Meta-Learning. CoRR abs/2010.03522 (2020) - [i30]Michael Emmerich, Joost Nibbeling, Marios Kefalas, Aske Plaat:
Multiple Node Immunisation for Preventing Epidemics on Networks by Exact Multiobjective Optimisation of Cost and Shield-Value. CoRR abs/2010.06488 (2020)
2010 – 2019
- 2019
- [j28]Alexandar P. Mechev, Timothy W. Shimwell, Aske Plaat, Huib Intema, Ana Lucia Varbanescu, H. J. A. Rottgering:
Scalability model for the LOFAR direction independent pipeline. Astron. Comput. 28: 100293 (2019) - [j27]Lise Stork, Andreas Weber, Eulalia Gasso Miracle, Fons J. Verbeek, Aske Plaat, H. Jaap van den Herik, Katherine Wolstencroft:
Semantic annotation of natural history collections. J. Web Semant. 59 (2019) - [c49]Marcello A. Gómez Maureira, Isabelle Kniestedt, Max J. van Duijn, Carolien Rieffe, Aske Plaat:
Shinobi Valley: Studying Curiosity For Virtual Spatial Exploration Through A Video Game. CHI PLAY (Companion) 2019: 421-428 - [c48]Christian M. Fuchs, Pai H. Chou, Xiaoqing Wen, Nadia M. Murillo, Gianluca Furano, Stefan Holst, Antonis Tavoularis, Shyue-Kung Lu, Aske Plaat, Kostas Marinis:
A Fault-Tolerant MPSoC For CubeSats. DFT 2019: 1-6 - [c47]Lise Stork, Andreas Weber, H. Jaap van den Herik, Aske Plaat, Fons J. Verbeek, Katherine Wolstencroft:
Automated Semantic Annotation of Species Names in Handwritten Texts. ECIR (1) 2019: 667-680 - [c46]Hao Wang, Thomas Bäck, Aske Plaat, Michael Emmerich, Mike Preuss:
On the potential of evolution strategies for neural network weight optimization. GECCO (Companion) 2019: 191-192 - [c45]Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat:
Alternative Loss Functions in AlphaZero-like Self-play. SSCI 2019: 155-162 - [i29]Christian M. Fuchs, Nadia M. Murillo, Aske Plaat, Erik van der Kouwe, Todor P. Stefanov:
Dynamic Fault Tolerance Through Resource Pooling. CoRR abs/1902.09493 (2019) - [i28]Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat:
Hyper-Parameter Sweep on AlphaZero General. CoRR abs/1903.08129 (2019) - [i27]Christian M. Fuchs, Nadia Murillo, Aske Plaat, Erik van der Kouwe, Daniel Harsono, Todor P. Stefanov:
Fault-Tolerant Nanosatellite Computing on a Budget. CoRR abs/1903.08781 (2019) - 2018
- [j26]Alexandar P. Mechev, Aske Plaat, Raymond Oonk, Huib Intema, H. J. A. Rottgering:
Pipeline Collector: Gathering performance data for distributed astronomical pipelines. Astron. Comput. 24: 117-128 (2018) - [c44]Christian M. Fuchs, Nadia M. Murillo, Aske Plaat, Erik van der Kouwe, Todor P. Stefanov:
Dynamic Fault Tolerance Through Resource Pooling. AHS 2018: 9-16 - [c43]Christian M. Fuchs, Nadia M. Murillo, Aske Plaat, Erik van der Kouwe, Peng Wang:
Towards Affordable Fault-Tolerant Nanosatellite Computing with Commodity Hardware. ATS 2018: 127-132 - [c42]Hui Wang, Michael Emmerich, Aske Plaat:
Assessing the Potential of Classical Q-learning in General Game Playing. BNCAI 2018: 138-150 - [c41]Sheir Yarkoni, Aske Plaat, Thomas Bäck:
First Results Solving Arbitrarily Structured Maximum Independent Set Problems Using Quantum Annealing. CEC 2018: 1-6 - [c40]Alexandar P. Mechev, Raymond Oonk, Timothy W. Shimwell, Aske Plaat, Huib Intema, Huub Rottgerin:
Fast and Reproducible LOFAR Workflows with AGLOW. eScience 2018: 136-144 - [c39]Lise Stork, Andreas Weber, H. Jaap van den Herik, Aske Plaat, Fons J. Verbeek, Katherine Wolstencroft:
From Handwritten Manuscripts to Linked Data. TPDL 2018: 330-334 - [c38]S. Ali Mirsoleimani, H. Jaap van den Herik, Aske Plaat, Jos Vermaseren:
A Lock-free Algorithm for Parallel MCTS. ICAART (2) 2018: 589-598 - [c37]S. Ali Mirsoleimani, H. Jaap van den Herik, Aske Plaat, Jos Vermaseren:
Pipeline Pattern for Parallel MCTS. ICAART (2) 2018: 614-621 - [c36]Bas van Boven, Peter van der Putten, Anders Åström, Hakim Khalafi, Aske Plaat:
Real-Time Excavation Detection at Construction Sites using Deep Learning. IDA 2018: 340-352 - [c35]Christian M. Fuchs, Nadia M. Murillo, Aske Plaat, Erik van der Kouwe, Daniel Harsono, Peng Wang:
Software-Defined Dependable Computing for Spacecraft. PRDC 2018: 231-232 - [i26]Hui Wang, Michael Emmerich, Aske Plaat:
Monte Carlo Q-learning for General Game Playing. CoRR abs/1802.05944 (2018) - [i25]Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker:
Monte Carlo Tree Search for Asymmetric Trees. CoRR abs/1805.09218 (2018) - [i24]Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker:
A0C: Alpha Zero in Continuous Action Space. CoRR abs/1805.09613 (2018) - [i23]Hui Wang, Michael Emmerich, Aske Plaat:
Assessing the Potential of Classical Q-learning in General Game Playing. CoRR abs/1810.06078 (2018) - 2017
- [c34]Christian M. Fuchs, Todor P. Stefanov, Nadia Murillo, Aske Plaat:
Bringing Fault-Tolerant GigaHertz-Computing to Space: A Multi-stage Software-Side Fault-Tolerance Approach for Miniaturized Spacecraft. ATS 2017: 100-107 - [c33]Esther Kuindersma, Jelke van der Pal, H. Jaap van den Herik, Aske Plaat:
Building a Game to Build Competencies. GALA 2017: 14-24 - [c32]S. Ali Mirsoleimani, Aske Plaat, H. Jaap van den Herik, Jos Vermaseren:
An Analysis of Virtual Loss in Parallel MCTS. ICAART (2) 2017: 648-652 - [c31]Tyron Offerman, Christoph Johann Stettina, Aske Plaat:
Business capabilities: A systematic literature review and a research agenda. ICE/ITMC 2017: 383-393 - [c30]Sheir Yarkoni, Hao Wang, Aske Plaat, Thomas Bäck:
Boosting Quantum Annealing Performance Using Evolution Strategies for Annealing Offsets Tuning. QTOP@NetSys 2017: 157-168 - [i22]Emily Weimar, Ariadi Nugroho, Joost Visser, Aske Plaat, Martijn Goudbeek, Alexander P. Schouten:
The Influence of Teamwork Quality on Software Team Performance. CoRR abs/1701.06146 (2017) - [i21]Aske Plaat, Jonathan Schaeffer, Wim Pijls, Arie de Bruin:
A Minimax Algorithm Better Than Alpha-beta?: No and Yes. CoRR abs/1702.03401 (2017) - [i20]S. Ali Mirsoleimani, Aske Plaat, H. Jaap van den Herik, Jos Vermaseren:
Structured Parallel Programming for Monte Carlo Tree Search. CoRR abs/1704.00325 (2017) - [i19]Christian M. Fuchs, Todor P. Stefanov, Nadia Murillo, Aske Plaat:
Preliminary Performance Estimations and Benchmark Results for a Software-based Fault-Tolerance Approach aboard Miniaturized Satellite Computers. CoRR abs/1706.02086 (2017) - [i18]Christian M. Fuchs, Todor P. Stefanov, Nadia Murillo, Aske Plaat:
Bringing Fault-Tolerant GigaHertz-Computing to Space: A Multi-Stage Software-Side Fault-Tolerance Approach for Miniaturized Spacecraft. CoRR abs/1708.06931 (2017) - 2016
- [j25]Esther Kuindersma, Jelke van der Pal, H. Jaap van den Herik, Aske Plaat:
Comparing Voluntary and Mandatory Gameplay. Int. J. Serious Games 3(3) (2016) - [j24]H. Jaap van den Herik, Walter A. Kosters, Aske Plaat:
Recent Advances in Computer Games. Theor. Comput. Sci. 644: 1 (2016) - [c29]Lambert Schomaker, Andreas Weber, Michiel Thijssen, Maarten Heerlien, Aske Plaat, Siegfried Nijssen, Fons J. Verbeek, Michael S. Lew, Eulalia Gasso Miracle, Katy Wolstencroft, Ernest Suyver, Bart Verheij, Marco A. Wiering, René Dekker, Joost N. Kok, Lissa Roberts, H. Jaap van den Herik:
Making Sense of Illustrated Handwritten Archives. DH 2016: 674-676 - [c28]Armon Toubman, Jan Joris Roessingh, Pieter Spronck, Aske Plaat, H. Jaap van den Herik:
Rapid Adaptation of Air Combat Behaviour. ECAI 2016: 1791-1796 - [c27]Sayyed Ali Mirsoleimani, Aske Plaat, H. Jaap van den Herik, Jos Vermaseren:
Ensemble UCT Needs High Exploitation. ICAART (2) 2016: 370-376 - [c26]Deepak Soekhoe, Peter van der Putten, Aske Plaat:
On the Impact of Data Set Size in Transfer Learning Using Deep Neural Networks. IDA 2016: 50-60 - [e5]Aske Plaat, Walter A. Kosters, H. Jaap van den Herik:
Computers and Games - 9th International Conference, CG 2016, Leiden, The Netherlands, June 29 - July 1, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10068, Springer 2016, ISBN 978-3-319-50934-1 [contents] - [i17]S. Ali Mirsoleimani, Aske Plaat, H. Jaap van den Herik, Jos Vermaseren:
A New Method for Parallel Monte Carlo Tree Search. CoRR abs/1605.04447 (2016) - 2015
- [j23]H. Jaap van den Herik, Walter A. Kosters, Aske Plaat, Johanna Hellemons:
The 18th Computer Olympiad 2015. J. Int. Comput. Games Assoc. 38(4): 243 (2015) - [j22]Shoshannah Tekofsky, Pieter Spronck, Martijn Goudbeek, Aske Plaat, H. Jaap van den Herik:
Past Our Prime: A Study of Age and Play Style Development in Battlefield 3. IEEE Trans. Comput. Intell. AI Games 7(3): 292-303 (2015) - [c25]Taichi Ishitobi, Aske Plaat, Hiroyuki Iida, H. Jaap van den Herik:
Reducing the Seesaw Effect with Deep Proof-Number Search. ACG 2015: 185-197 - [c24]Esther Kuindersma, Jelke van der Pal, H. Jaap van den Herik, Aske Plaat:
Voluntary Play in Serious Games. GALA 2015: 131-140 - [c23]Armon Toubman, Jan Joris Roessingh, Pieter Spronck, Aske Plaat, H. Jaap van den Herik:
Transfer Learning of Air Combat Behavior. ICMLA 2015: 226-231 - [c22]