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Daniel H\"aufle — most-cited papers & profile · Reinforcement Learning
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Daniel H\"aufle
4
papers ·
13
citations
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Most-cited papers
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
2022 · 6 citations
Identifying Policy Gradient Subspaces
2024 · 1 citations
Investigating the Impact of Action Representations in Policy Gradient Algorithms
2023
Top co-authors
Dieter B\"uchler
· 3
Pierre Schumacher
· 3
Bernhard Sch\"olkopf
· 2
Jan Schneider
· 2
Georg Martius
· 1
Le Chen
· 1
Simon Guist
· 1
Syn Schmitt
· 1
Topics
Exploration
Policy Gradient