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Johannes M\"uller — most-cited papers & profile · Reinforcement Learning
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Johannes M\"uller
7
papers ·
15
citations
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Semantic Scholar ↗
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Most-cited papers
Deep Reinforcement Learning for Data-Driven Adaptive Scanning in Ptychography
2022 · 8 citations
The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs
2021 · 2 citations
Solving infinite-horizon POMDPs with memoryless stochastic policies in state-action space
2022 · 2 citations
Central Path Proximal Policy Optimization
2025
Top co-authors
Guido Mont\'ufar
· 2
Christoph T. Koch
· 1
Marcel Schloz
· 1
Nico Scherf
· 1
Nikola Milosevic
· 1
Thomas C. Pekin
· 1
Wouter Van den Broek
· 1
Topics
Policy Gradient
Model-Based RL
Safe RL
Value-Based