Fate of unattended fearful faces in the amygdala is determined by both attentional resources and cognitive modulation. - Luiz Pessoa; Srikanth Padmala; Thomas M. Moerland (NeuroImage, 2005)

Fear and Hope Emerge from Anticipation in Model-Based Reinforcement Learning. - Thomas M. Moerland; Joost Broekens; Catholijn M. Jonker (IJCAI, 2016)

Knowing What You Don't Know - Novelty Detection for Action Recognition in Personal Robots. - Thomas M. Moerland; Aswin Chandarr; Maja Rudinac; Pieter P. Jonker (VISIGRAPP (4: VISAPP), 2016)

Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning. - Thomas M. Moerland; Joost Broekens; Catholijn M. Jonker (CoRR, 2017)

Efficient exploration with Double Uncertain Value Networks. - Thomas M. Moerland; Joost Broekens; Catholijn M. Jonker (CoRR, 2017)

Monte Carlo Tree Search for Asymmetric Trees. - Thomas M. Moerland; Joost Broekens; Aske Plaat; Catholijn M. Jonker (CoRR, 2018)

A0C: Alpha Zero in Continuous Action Space. - Thomas M. Moerland; Joost Broekens; Aske Plaat; Catholijn M. Jonker (CoRR, 2018)

The Potential of the Return Distribution for Exploration in RL. - Thomas M. Moerland; Joost Broekens; Catholijn M. Jonker (CoRR, 2018)

Emotion in reinforcement learning agents and robots: a survey. - Thomas M. Moerland; Joost Broekens; Catholijn M. Jonker (Mach. Learn., 2018)

RRT-CoLearn: Towards Kinodynamic Planning Without Numerical Trajectory Optimization. - Wouter Jan Wolfslag; Mukunda Bharatheesha; Thomas M. Moerland; Martijn Wisse (IEEE Robotics Autom. Lett., 2018)

Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning. - Thomas M. Moerland; Anna Deichler; Simone Baldi; Joost Broekens; Catholijn M. Jonker (CoRR, 2020)

The Second Type of Uncertainty in Monte Carlo Tree Search. - Thomas M. Moerland; Joost Broekens; Aske Plaat; Catholijn M. Jonker (CoRR, 2020)

A Framework for Reinforcement Learning and Planning. - Thomas M. Moerland; Joost Broekens; Catholijn M. Jonker (CoRR, 2020)

Model-based Reinforcement Learning: A Survey. - Thomas M. Moerland; Joost Broekens; Catholijn M. Jonker (CoRR, 2020)

Visualizing MuZero Models. - Joery A. de Vries; Ken S. Voskuil; Thomas M. Moerland; Aske Plaat (CoRR, 2021)

The Intersection of Planning and Learning. - Thomas M. Moerland (2021)

On Credit Assignment in Hierarchical Reinforcement Learning. - Joery A. de Vries; Thomas M. Moerland; Aske Plaat (CoRR, 2022)

When to Go, and When to Explore: The Benefit of Post-Exploration in Intrinsic Motivation. - Zhao Yang 003; Thomas M. Moerland; Mike Preuss; Aske Plaat (CoRR, 2022)

A Unifying Framework for Reinforcement Learning and Planning. - Thomas M. Moerland; Joost Broekens; Aske Plaat; Catholijn M. Jonker (Frontiers Artif. Intell., 2022)

Continuous Episodic Control. - Zhao Yang 003; Thomas M. Moerland; Mike Preuss; Aske Plaat (CoG, 2023)

Two-Memory Reinforcement Learning. - Zhao Yang 003; Thomas M. Moerland; Mike Preuss; Aske Plaat (CoG, 2023)

First Go, then Post-Explore: The Benefits of Post-Exploration in Intrinsic Motivation. - Zhao Yang 003; Thomas M. Moerland; Mike Preuss; Aske Plaat (ICAART (2), 2023)

What model does MuZero learn? - Jinke He; Thomas M. Moerland; Frans A. Oliehoek (CoRR, 2023)

EduGym: An Environment Suite for Reinforcement Learning Education. - Thomas M. Moerland; Matthias Müller-Brockhausen; Zhao Yang 003; Andrius Bernatavicius; Koen Ponse; Tom Kouwenhoven; Andreas Sauter; Michiel van der Meer; Bram M. Renting; Aske Plaat (CoRR, 2023)

Model-based Reinforcement Learning: A Survey. - Thomas M. Moerland; Joost Broekens; Aske Plaat; Catholijn M. Jonker (Found. Trends Mach. Learn., 2023)

Are LSTMs good few-shot learners? - Mike Huisman; Thomas M. Moerland; Aske Plaat; Jan N. van Rijn (Mach. Learn., 2023)

What Model Does MuZero Learn? - Jinke He; Thomas M. Moerland; Joery A. de Vries; Frans A. Oliehoek (ECAI, 2024)

Towards General Negotiation Strategies with End-to-End Reinforcement Learning. - Bram M. Renting; Thomas M. Moerland; Holger H. Hoos; Catholijn M. Jonker (RLJ, 2024)

Slot Structured World Models. - Jonathan Collu; Riccardo Majellaro; Aske Plaat; Thomas M. Moerland (CoRR, 2024)

Reinforcement Learning for Sustainable Energy: A Survey. - Koen Ponse; Felix Kleuker; Márton Fejér; Álvaro Serra-Gómez; Aske Plaat; Thomas M. Moerland (CoRR, 2024)

World Models Increase Autonomy in Reinforcement Learning. - Zhao Yang 003; Thomas M. Moerland; Mike Preuss; Aske Plaat; Edward S. Hu (CoRR, 2024)

Reinforcement learning for Quantum Tiq-Taq-Toe. - Catalin-Viorel Dinu; Thomas M. Moerland (CoRR, 2024)

EconoJax: A Fast & Scalable Economic Simulation in JAX. - Koen Ponse; Aske Plaat; Niki van Stein; Thomas M. Moerland (AAMAS, 2025)

Reset-free Reinforcement Learning with World Models. - Zhao Yang 003; Thomas M. Moerland; Mike Preuss; Aske Plaat; Edward S. Hu (Trans. Mach. Learn. Res., 2025)

Explicitly Disentangled Representations in Object-Centric Learning. - Riccardo Majellaro; Jonathan Collu; Aske Plaat; Thomas M. Moerland (Trans. Mach. Learn. Res., 2025)

Chargax: A JAX Accelerated EV Charging Simulator. - Koen Ponse; Felix Kleuker; Aske Plaat; Thomas M. Moerland (CoRR, 2025)

On the Effect of Regularization in Policy Mirror Descent. - Felix Kleuker; Aske Plaat; Thomas M. Moerland (CoRR, 2025)