Thomas M. Moerland

50 papers A* 1A 2C 2Journal 42Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A KL-regularization framework for learning to plan with adaptive priors. CoRR Álvaro Serra-Gómez, Daniel Jarne Ornia, Dhruva Tirumala, Thomas M. Moerland
2025	J	`jnl`	A Unified Framework for Zero-Shot Reinforcement Learning. CoRR Jacopo Di Ventura, Jan Felix Kleuker, Aske Plaat, Thomas M. Moerland
2025	J	`jnl`	An Empirical Study of Lagrangian Methods in Safe Reinforcement Learning. CoRR Lindsay Spoor, Álvaro Serra-Gómez, Aske Plaat, Thomas M. Moerland
2025	J	`jnl`	Chargax: A JAX Accelerated EV Charging Simulator. CoRR Koen Ponse, Felix Kleuker, Aske Plaat, Thomas M. Moerland
2025	A	`conf`	EconoJax: A Fast & Scalable Economic Simulation in JAX. AAMAS Koen Ponse, Aske Plaat, Niki van Stein, Thomas M. Moerland
2025	J	`jnl`	Explicitly Disentangled Representations in Object-Centric Learning. Trans. Mach. Learn. Res. Riccardo Majellaro, Jonathan Collu, Aske Plaat, Thomas M. Moerland
2025	J	`jnl`	Guiding Skill Discovery with Foundation Models. CoRR Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat, Vincent François-Lavet, Edward S. Hu
2025	J	`jnl`	On the Effect of Regularization in Policy Mirror Descent. CoRR Felix Kleuker, Aske Plaat, Thomas M. Moerland
2025	J	`jnl`	Reset-free Reinforcement Learning with World Models. Trans. Mach. Learn. Res. Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat, Edward S. Hu
2024	J	`jnl`	EconoJax: A Fast & Scalable Economic Simulation in Jax. CoRR Koen Ponse, Aske Plaat, Niki van Stein, Thomas M. Moerland
2024	J	`jnl`	Explicitly Disentangled Representations in Object-Centric Learning. CoRR Riccardo Majellaro, Jonathan Collu, Aske Plaat, Thomas M. Moerland
2024	J	`jnl`	Reinforcement Learning for Sustainable Energy: A Survey. CoRR Koen Ponse, Felix Kleuker, Márton Fejér, Álvaro Serra-Gómez, Aske Plaat, Thomas M. Moerland
2024	J	`jnl`	Reinforcement learning for Quantum Tiq-Taq-Toe. CoRR Catalin-Viorel Dinu, Thomas M. Moerland
2024	J	`jnl`	Slot Structured World Models. CoRR Jonathan Collu, Riccardo Majellaro, Aske Plaat, Thomas M. Moerland
2024	J	`jnl`	Towards General Negotiation Strategies with End-to-End Reinforcement Learning. RLJ Bram M. Renting, Thomas M. Moerland, Holger H. Hoos, Catholijn M. Jonker
2024	J	`jnl`	Towards General Negotiation Strategies with End-to-End Reinforcement Learning. CoRR Bram M. Renting, Thomas M. Moerland, Holger H. Hoos, Catholijn M. Jonker
2024	A	`conf`	What Model Does MuZero Learn? ECAI Jinke He, Thomas M. Moerland, Joery A. de Vries, Frans A. Oliehoek
2024	J	`jnl`	World Models Increase Autonomy in Reinforcement Learning. CoRR Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat, Edward S. Hu
2023	J	`jnl`	Are LSTMs Good Few-Shot Learners? CoRR Mike Huisman, Thomas M. Moerland, Aske Plaat, Jan N. van Rijn
2023	J	`jnl`	Are LSTMs good few-shot learners? Mach. Learn. Mike Huisman, Thomas M. Moerland, Aske Plaat, Jan N. van Rijn
2023	C	`conf`	Continuous Episodic Control. CoG Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
2023	J	`jnl`	EduGym: An Environment Suite for Reinforcement Learning Education. CoRR 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
2023	—	`conf`	First Go, then Post-Explore: The Benefits of Post-Exploration in Intrinsic Motivation. ICAART (2) Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
2023	J	`jnl`	Model-based Reinforcement Learning: A Survey. Found. Trends Mach. Learn. Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker
2023	C	`conf`	Two-Memory Reinforcement Learning. CoG Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
2023	J	`jnl`	Two-Memory Reinforcement Learning. CoRR Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
2023	J	`jnl`	What model does MuZero learn? CoRR Jinke He, Thomas M. Moerland, Frans A. Oliehoek
2022	J	`jnl`	A Unifying Framework for Reinforcement Learning and Planning. Frontiers Artif. Intell. Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker
2022	J	`jnl`	Continuous Episodic Control. CoRR Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
2022	J	`jnl`	First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation. CoRR Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
2022	J	`jnl`	On Credit Assignment in Hierarchical Reinforcement Learning. CoRR Joery A. de Vries, Thomas M. Moerland, Aske Plaat
2022	J	`jnl`	When to Go, and When to Explore: The Benefit of Post-Exploration in Intrinsic Motivation. CoRR Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
2021	—	`—`	The Intersection of Planning and Learning. Thomas M. Moerland
2021	J	`jnl`	Visualizing MuZero Models. CoRR Joery A. de Vries, Ken S. Voskuil, Thomas M. Moerland, Aske Plaat
2020	J	`jnl`	A Framework for Reinforcement Learning and Planning. CoRR Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker
2020	J	`jnl`	Model-based Reinforcement Learning: A Survey. CoRR Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker
2020	J	`jnl`	The Second Type of Uncertainty in Monte Carlo Tree Search. CoRR Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker
2020	J	`jnl`	Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning. CoRR Thomas M. Moerland, Anna Deichler, Simone Baldi, Joost Broekens, Catholijn M. Jonker
2018	J	`jnl`	A0C: Alpha Zero in Continuous Action Space. CoRR Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker
2018	J	`jnl`	Emotion in reinforcement learning agents and robots: a survey. Mach. Learn. Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker
2018	J	`jnl`	Monte Carlo Tree Search for Asymmetric Trees. CoRR Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker
2018	J	`jnl`	RRT-CoLearn: Towards Kinodynamic Planning Without Numerical Trajectory Optimization. IEEE Robotics Autom. Lett. Wouter Jan Wolfslag, Mukunda Bharatheesha, Thomas M. Moerland, Martijn Wisse
2018	J	`jnl`	The Potential of the Return Distribution for Exploration in RL. CoRR Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker
2017	J	`jnl`	Efficient exploration with Double Uncertain Value Networks. CoRR Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker
2017	J	`jnl`	Emotion in Reinforcement Learning Agents and Robots: A Survey. CoRR Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker
2017	J	`jnl`	Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning. CoRR Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker
2017	J	`jnl`	RRT-CoLearn: towards kinodynamic planning without numerical trajectory optimization. CoRR Wouter Wolfslag, Mukunda Bharatheesha, Thomas M. Moerland, Martijn Wisse
2016	A*	`conf`	Fear and Hope Emerge from Anticipation in Model-Based Reinforcement Learning. IJCAI Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker
2016	—	`conf`	Knowing What You Don't Know - Novelty Detection for Action Recognition in Personal Robots. VISIGRAPP (4: VISAPP) Thomas M. Moerland, Aswin Chandarr, Maja Rudinac, Pieter P. Jonker
2005	J	`jnl`	Fate of unattended fearful faces in the amygdala is determined by both attentional resources and cognitive modulation. NeuroImage Luiz Pessoa, Srikanth Padmala, Thomas M. Moerland