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Freek Stulp — most-cited papers & profile · Reinforcement Learning
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overview
Freek Stulp
8
papers ·
50
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Investigating Generalisation in Continuous Deep Reinforcement Learning
2019 · 34 citations
Smooth Exploration for Robotic Reinforcement Learning
2020 · 9 citations
Learning to Exploit Elastic Actuators for Quadruped Locomotion
2022 · 3 citations
A survey on policy search algorithms for learning robot controllers in a handful of trials
2018 · 1 citations
Top co-authors
Antonin Raffin
· 2
Jens Kober
· 2
Alin Albu-Sch\"affer
· 1
Chenyang Zhao
· 1
Daniel Seidel
· 1
Jean-Baptiste Mouret
· 1
Jo\~ao Silv\'erio
· 1
Konstantinos Chatzilygeroudis
· 1
Olivier Sigaud
· 1
Sylvain Calinon
· 1
Timothy M. Hospedales
· 1
Vassilis Vassiliades
· 1
Topics
Model-Based RL
Policy Gradient
Meta-RL
Exploration
Value-Based
Safe RL