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Koopman-Operator-based Reinforcement Learning Control of Partial Differential Equations

CORDIS · observation · Publication date unknown

and (C) the detection and exploitation of symmetries in the system dynamics. The project requires significant joint advancements in several challenging areas such as control, approximation theory and machine learning. In the case of success, the resulting controllers will provide a massive advancement of RL towards safety-critical engineering applications and significantly contribute to the challenge of meeting the future energy demands of our society. Reinforcement learning, Koopman operator, partial differential equations

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recordType
award
status
SIGNED
region
EU
value
1499000
unit
EUR

Evidence & attribution

European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.

License: CORDIS reuse policy

First collected: 2026-09-20T03:21:21.440Z. This is not the publication date.