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Sebastian Schemm — most-cited papers & profile · Reinforcement Learning
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Sebastian Schemm
9
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0
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Most-cited papers
Replacing Tunable Parameters in Weather and Climate Models with State-Dependent Functions using Reinforcement Learning
2026
FedRAIN-Lite: Federated Reinforcement Algorithms for Improving Idealised Numerical Weather and Climate Models
2025
Top co-authors
Emily Shuckburgh
· 2
Henry Moss
· 2
Peter Haynes
· 2
Pritthijit Nath
· 2
Mark J. Webb
· 1
Mark Webb
· 1
Topics
cs.LG
physics.ao-ph
Multi-Agent
Model-Based RL
Policy Gradient