Astraios PhD Opportunities3132
hasCourse

Reinforcement learning and decision making  

Description

Aims This module introduces basic principles of sequential decision making under uncertainty and the application in Reinforcement Learning and Control. Foundations and recent algorithms are covered. Outcome: On completion of this module, students should understand: The foundations of sequential decision making and reinforcement learning The connections between control and reinforcement learning The exploration vs exploitation trade-off.

Delivery mode

Presential
English

Name

Reinforcement learning and decision making
English

UNIVERSITY OF TWENTE

Faculty of Geo-Information Science and Earth Observation

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