Thomas M. Moerland

Matthias Müller-Brockhausen

Zhao Yang

Andrius Bernatavicius

CoRR, 2023

What model does MuZero learn?

[BibT_eX]

[DOI]

Jinke He

Frans A. Oliehoek

CoRR, 2023

First Go, then Post-Explore: The Benefits of Post-Exploration in Intrinsic Motivation.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Two-Memory Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Games, 2023

Continuous Episodic Control.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Games, 2023

2022

A Unifying Framework for Reinforcement Learning and Planning.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., 2022

When to Go, and When to Explore: The Benefit of Post-Exploration in Intrinsic Motivation.

[BibT_eX]

[DOI]

CoRR, 2022

On Credit Assignment in Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

Joery A. de Vries

Aske Plaat

CoRR, 2022

2021

The Intersection of Planning and Learning.

[BibT_eX]

[DOI]

PhD thesis, 2021

Visualizing MuZero Models.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Model-based Reinforcement Learning: A Survey.

[BibT_eX]

[DOI]

CoRR, 2020

A Framework for Reinforcement Learning and Planning.

[BibT_eX]

[DOI]

CoRR, 2020

The Second Type of Uncertainty in Monte Carlo Tree Search.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

2018

RRT-CoLearn: Towards Kinodynamic Planning Without Numerical Trajectory Optimization.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2018

Emotion in reinforcement learning agents and robots: a survey.

[BibT_eX]

[DOI]

Mach. Learn., 2018

The Potential of the Return Distribution for Exploration in RL.

[BibT_eX]

[DOI]

CoRR, 2018

A0C: Alpha Zero in Continuous Action Space.

[BibT_eX]

[DOI]

CoRR, 2018

Monte Carlo Tree Search for Asymmetric Trees.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Efficient exploration with Double Uncertain Value Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Knowing What You Don't Know - Novelty Detection for Action Recognition in Personal Robots.

[BibT_eX]

[DOI]

Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

Fear and Hope Emerge from Anticipation in Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2005

Fate of unattended fearful faces in the amygdala is determined by both attentional resources and cognitive modulation.

[BibT_eX]

[DOI]

Luiz Pessoa

Srikanth Padmala