Astraios Degree Programmes3295
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

Astraios home page

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or HaDEA. Neither the European Union nor the granting authority can be held responsible for them. The statements made herein do not necessarily have the consent or agreement of the ASTRAIOS Consortium. These represent the opinion and findings of the author(s).