Roberto Calandra

Roberto Calandra

Professor, TU Dresden, Centre for Tactile Internet with Human-in-the-Loop (CeTI)
在 tu-dresden.de 的电子邮件经过验证
被引用次数：6411
Robot Learning Model-based Reinforcement Learning Tactile Sensing Touch Processing
Francesco Visin

Francesco Visin

Senior Research Scientist at Google DeepMind
在 google.com 的电子邮件经过验证
被引用次数：5325
Model based Reinforcement Learning
Thomas M. Moerland

Thomas M. Moerland

Leiden Institute of Advanced Computer Science, Leiden University
在 liacs.leidenuniv.nl 的电子邮件经过验证
被引用次数：1219
Model-based reinforcement learning planning reinforcement learning machine learning
Thomas Pouncy

Thomas Pouncy

PhD Candidate in Psychology, Harvard University
在 g.harvard.edu 的电子邮件经过验证
被引用次数：263
Model-based reinforcement learning transfer learning generalization cognitive science psychology
Boris Boldyshev

Boris Boldyshev

VA Trapeznikov Institute of Control Sciences, Russian Academy of Sciences
被引用次数：96
Artificial Intelligence Model-Based Reinforcement Learning
Jens U. Kreber

Jens U. Kreber

Augsburg University
在 uni-a.de 的电子邮件经过验证
被引用次数：80
model-based reinforcement learning
Tim Schneider

Tim Schneider

PhD Student, Technical University Darmstadt
在 ias.informatik.tu-darmstadt.de 的电子邮件经过验证
被引用次数：51
Model-Based Reinforcement Learning Robot Learning Intrinsic Motivation
Arno Moonens

Arno Moonens

PhD student, Vrije Universiteit Brussel
在 vub.be 的电子邮件经过验证
被引用次数：49
deep reinforcement learning model-based reinforcement learning
Cheng-Yu Kuo

Cheng-Yu Kuo

Research Assistant Professor, Robot Learning Lab, Nara Institute of Science and …
在 naist.ac.jp 的电子邮件经过验证
被引用次数：36
Robot Learning Model-based Reinforcement Learning Humanoid Robots
Jaehoon Chung

Jaehoon Chung

University of Victoria
在 uvic.ca 的电子邮件经过验证
被引用次数：36
Deep Reinforcement Learning Multi-agent Pathfinding Model-based Reinforcement Learning
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