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Jakob Hollenstein — most-cited papers & profile · Reinforcement Learning
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Jakob Hollenstein
7
papers ·
9
citations ·
4
h-index
Universität Innsbruck
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance
2022 · 6 citations
Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks
2025
Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling
2023
Unsupervised Learning of Effective Actions in Robotics
2024
Top co-authors
Justus Piater
· 4
Erwan Renaudo
· 2
Antonio Rodr\'iguez-S\'anchez
· 1
David Drexel
· 1
Georg Martius
· 1
Marko Zaric
· 1
Matteo Saveriano
· 1
Muthukumar Pandaram
· 1
Samuele Tosatto
· 1
Sayantan Auddy
· 1
Topics
Exploration
cs.LG
cs.AI
cs.RO
Offline RL
Policy Gradient
Model-Based RL