Thomas M. Moerland
Thomas M. Moerland
Leiden Institute of Advanced Computer Science, Leiden University
Verified email at liacs.leidenuniv.nl - Homepage
Title
Cited by
Cited by
Year
Emotion in Reinforcement Learning Agents and Robots: A Survey
TM Moerland, J Broekens, CM Jonker
Machine Learning, https://doi.org/10.1007/s10994-017-5666, 2017
1032017
Model-based reinforcement learning: A survey
TM Moerland, J Broekens, CM Jonker
arXiv preprint arXiv:2006.16712, 2020
352020
Efficient exploration with Double Uncertain Value Networks
TM Moerland, J Broekens, CM Jonker
Deep Reinforcement Learning Symposium at the 30th Conference on Advances in …, 2017
262017
Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning
TM Moerland, J Broekens, CM Jonker
Scaling Up Reinforcement Learning (SURL) workshop @ European Conference on …, 2017
242017
Fear and Hope Emerge from Anticipation in Model-Based Reinforcement Learning.
TM Moerland, J Broekens, CM Jonker
Proceedings of the 25th International Joint Conference on Artificial …, 2016
202016
A0C: Alpha Zero in Continuous Action Space
TM Moerland, J Broekens, A Plaat, CM Jonker
Planning and Learning Workshop at the 35th International Conference on …, 2018
182018
RRT-CoLearn: towards kinodynamic planning without numerical trajectory optimization
WJ Wolfslag, M Bharatheesha, TM Moerland, M Wisse
IEEE Conference on Robotics and Automation (ICRA), 2018
172018
A framework for reinforcement learning and planning
TM Moerland, J Broekens, CM Jonker
arXiv preprint arXiv:2006.15009, 2020
102020
Monte Carlo Tree Search for Asymmetric Trees
TM Moerland, J Broekens, A Plaat, CM Jonker
Planning and Learning Workshop at the 35th International Conference on …, 2018
8*2018
Tutored learning: an effective way for students to benefit research by critical appraisal
VT Janmaat, KE Kortekaas, TM Moerland, MWC Vereijken, JW Schoones, ...
Medical Science Educator 23 (2), 269-277, 2013
82013
The Potential of the Return Distribution for Exploration in RL
TM Moerland, J Broekens, CM Jonker
Exploration in Reinforcement Learning Workshop at the 35th International …, 2018
72018
Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning
TM Moerland, A Deichler, S Baldi, J Broekens, CM Jonker
Bridging the Gap Between AI Planning and Reinforcement Learning (PRL …, 2020
32020
Knowing What You Don’t Know - Novelty Detection for Action Recognition in Personal Robots
T Moerland, A Chandarr, M Rudinac, P Jonker
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and …, 2016
22016
The Intersection of Planning and Learning
TM Moerland
PhD thesis, Delft University of Technology, 2021
2021
Visualizing MuZero Models
JA de Vries, KS Voskuil, TM Moerland, A Plaat
arXiv preprint arXiv:2102.12924, 2021
2021
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