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Jakob J. Hollenstein — most-cited papers & profile · Reinforcement Learning
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Jakob J. Hollenstein
4
papers ·
2
citations
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Semantic Scholar ↗
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Most-cited papers
Improving the Exploration of Deep Reinforcement Learning in Continuous Domains using Planning for Policy Search
2020 · 1 citations
How do Offline Measures for Exploration in Reinforcement Learning behave?
2020
Top co-authors
Erwan Renaudo
· 2
Justus Piater
· 2
Matteo Saveriano
· 2
Sayantan Auddy
· 1
Topics
Exploration
Offline RL
Model-Based RL