Thomas M. Moerland

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Delft University of Technology

Visualizing MuZero Models

MuZero, a model-based reinforcement learning algorithm that uses a value...
02/25/2021 ∙ by Joery A. de Vries, et al. ∙ 0 ∙ share

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Model-based Reinforcement Learning: A Survey

Sequential decision making, commonly formalized as Markov Decision Proce...
06/30/2020 ∙ by Thomas M. Moerland, et al. ∙ 0 ∙ share

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A Framework for Reinforcement Learning and Planning

Sequential decision making, commonly formalized as Markov Decision Proce...
06/26/2020 ∙ by Thomas M. Moerland, et al. ∙ 0 ∙ share

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The Second Type of Uncertainty in Monte Carlo Tree Search

Monte Carlo Tree Search (MCTS) efficiently balances exploration and expl...
05/19/2020 ∙ by Thomas M. Moerland, et al. ∙ 16 ∙ share

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Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning

Planning and reinforcement learning are two key approaches to sequential...
05/15/2020 ∙ by Thomas M. Moerland, et al. ∙ 0 ∙ share

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The Potential of the Return Distribution for Exploration in RL

This paper studies the potential of the return distribution for explorat...
06/11/2018 ∙ by Thomas M. Moerland, et al. ∙ 0 ∙ share

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A0C: Alpha Zero in Continuous Action Space

A core novelty of Alpha Zero is the interleaving of tree search and deep...
05/24/2018 ∙ by Thomas M. Moerland, et al. ∙ 0 ∙ share

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Monte Carlo Tree Search for Asymmetric Trees

We present an extension of Monte Carlo Tree Search (MCTS) that strongly ...
05/23/2018 ∙ by Thomas M. Moerland, et al. ∙ 2 ∙ share

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Efficient exploration with Double Uncertain Value Networks

This paper studies directed exploration for reinforcement learning agent...
11/29/2017 ∙ by Thomas M. Moerland, et al. ∙ 0 ∙ share

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Emotion in Reinforcement Learning Agents and Robots: A Survey

This article provides the first survey of computational models of emotio...
05/15/2017 ∙ by Thomas M. Moerland, et al. ∙ 0 ∙ share

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Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning

In this paper we study how to learn stochastic, multimodal transition dy...
05/01/2017 ∙ by Thomas M. Moerland, et al. ∙ 0 ∙ share

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Thomas M. Moerland

Featured Co-authors

Aske Plaat

Catholijn M. Jonker

Joost Broekens

Simone Baldi

Joery A. de Vries

Ken S. Voskuil

Anna Deichler

Visualizing MuZero Models

Model-based Reinforcement Learning: A Survey

A Framework for Reinforcement Learning and Planning

The Second Type of Uncertainty in Monte Carlo Tree Search

Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning

The Potential of the Return Distribution for Exploration in RL

A0C: Alpha Zero in Continuous Action Space

Monte Carlo Tree Search for Asymmetric Trees

Efficient exploration with Double Uncertain Value Networks

Emotion in Reinforcement Learning Agents and Robots: A Survey

Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning