Thomas M. Moerland

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 34

Top Topics

Monte Carlo Tree Search

Relational Domains

Reinforcement Learning

Top Venues

IEEE Robotics Autom. Lett.

Publications

Koen Ponse, Felix Kleuker, Márton Fejér, Álvaro Serra-Gómez, Aske Plaat, Thomas M. Moerland
Reinforcement Learning for Sustainable Energy: A Survey. CoRR (2024)
Bram M. Renting, Thomas M. Moerland, Holger H. Hoos, Catholijn M. Jonker
Towards General Negotiation Strategies with End-to-End Reinforcement Learning. CoRR (2024)
Riccardo Majellaro, Jonathan Collu, Aske Plaat, Thomas M. Moerland
Explicitly Disentangled Representations in Object-Centric Learning. CoRR (2024)
Jonathan Collu, Riccardo Majellaro, Aske Plaat, Thomas M. Moerland
Slot Structured World Models. CoRR (2024)
Mike Huisman, Thomas M. Moerland, Aske Plaat, Jan N. van Rijn
Are LSTMs Good Few-Shot Learners? CoRR (2023)
Mike Huisman, Thomas M. Moerland, Aske Plaat, Jan N. van Rijn
Are LSTMs good few-shot learners? Mach. Learn. 112 (11) (2023)
Thomas M. Moerland, Matthias Müller-Brockhausen, Zhao Yang, Andrius Bernatavicius, Koen Ponse, Tom Kouwenhoven, Andreas Sauter, Michiel van der Meer, Bram Renting, Aske Plaat
EduGym: An Environment Suite for Reinforcement Learning Education. CoRR (2023)
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)
Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker
Model-based Reinforcement Learning: A Survey. Found. Trends Mach. Learn. 16 (1) (2023)
Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
Continuous Episodic Control. CoG (2023)
Jinke He, Thomas M. Moerland, Frans A. Oliehoek
What model does MuZero learn? CoRR (2023)
Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
Two-Memory Reinforcement Learning. CoG (2023)
Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
Two-Memory Reinforcement Learning. CoRR (2023)
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 (2022)
Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
Continuous Episodic Control. CoRR (2022)
Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker
A Unifying Framework for Reinforcement Learning and Planning. Frontiers Artif. Intell. 5 (2022)
Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation. CoRR (2022)
Joery A. de Vries, Thomas M. Moerland, Aske Plaat
On Credit Assignment in Hierarchical Reinforcement Learning. CoRR (2022)
Joery A. de Vries, Ken S. Voskuil, Thomas M. Moerland, Aske Plaat
Visualizing MuZero Models. CoRR (2021)
Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker
Model-based Reinforcement Learning: A Survey. CoRR (2020)
Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker
A Framework for Reinforcement Learning and Planning. CoRR (2020)
Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker
The Second Type of Uncertainty in Monte Carlo Tree Search. CoRR (2020)
Thomas M. Moerland, Anna Deichler, Simone Baldi, Joost Broekens, Catholijn M. Jonker
Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning. CoRR (2020)
Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker
A0C: Alpha Zero in Continuous Action Space. CoRR (2018)
Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker
Monte Carlo Tree Search for Asymmetric Trees. CoRR (2018)
Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker
The Potential of the Return Distribution for Exploration in RL. CoRR (2018)
Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker
Emotion in reinforcement learning agents and robots: a survey. Mach. Learn. 107 (2) (2018)
Wouter Jan Wolfslag, Mukunda Bharatheesha, Thomas M. Moerland, Martijn Wisse
RRT-CoLearn: Towards Kinodynamic Planning Without Numerical Trajectory Optimization. IEEE Robotics Autom. Lett. 3 (3) (2018)
Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker
Efficient exploration with Double Uncertain Value Networks. CoRR (2017)
Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker
Emotion in Reinforcement Learning Agents and Robots: A Survey. CoRR (2017)
Wouter Wolfslag, Mukunda Bharatheesha, Thomas M. Moerland, Martijn Wisse
RRT-CoLearn: towards kinodynamic planning without numerical trajectory optimization. CoRR (2017)
Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker
Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning. CoRR (2017)
Thomas M. Moerland, Aswin Chandarr, Maja Rudinac, Pieter P. Jonker
Knowing What You Don't Know - Novelty Detection for Action Recognition in Personal Robots. VISIGRAPP (4: VISAPP) (2016)
Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker
Fear and Hope Emerge from Anticipation in Model-Based Reinforcement Learning. IJCAI (2016)
Luiz Pessoa, Srikanth Padmala, Thomas M. Moerland
Fate of unattended fearful faces in the amygdala is determined by both attentional resources and cognitive modulation. NeuroImage 28 (1) (2005)