Follow
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
Model-based reinforcement learning: A survey
TM Moerland, J Broekens, A Plaat, CM Jonker
Foundations and Trends® in Machine Learning, 2023
6982023
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
1862017
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
632018
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
552017
A unifying framework for reinforcement learning and planning
TM Moerland, J Broekens, A Plaat, CM Jonker
Frontiers in Artificial Intelligence 5, 908353, 2022
44*2022
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
392017
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
372018
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
272016
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
19*2018
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
14*2020
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
142018
Visualizing MuZero Models
JA de Vries, KS Voskuil, TM Moerland, A Plaat
Workshop on Unsupervised Reinforcement Learning, ICML, 2021
122021
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, 269-277, 2013
122013
Are LSTMs good few-shot learners?
M Huisman, TM Moerland, A Plaat, JN van Rijn
Machine Learning 112 (11), 4635-4662, 2023
52023
Continuous Markov decision process and policy search
T Moerland
Lecture notes for the course reinforcement learning, Leiden University 28 …, 2021
42021
Continuous episodic control
Z Yang, TM Moerland, M Preuss, A Plaat
2023 IEEE Conference on Games (CoG), 1-8, 2023
32023
The Intersection of Planning and Learning
TM Moerland
PhD thesis, Delft University of Technology, 2021
32021
First go, then post-explore: the benefits of post-exploration in intrinsic motivation
Z Yang, TM Moerland, M Preuss, A Plaat
arXiv preprint arXiv:2212.03251, 2022
22022
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
Two-Memory Reinforcement Learning
Z Yang, TM Moerland, M Preuss, A Plaat
2023 IEEE Conference on Games (CoG), 1-9, 2023
12023
The system can't perform the operation now. Try again later.
Articles 1–20