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Seminar
FIELD Computational Sciences
DATE August 08 (Mon), 2022
TIME 10:30-12:30
PLACE 7323
SPEAKER Lee, Hyun gyu
HOST Lee, Hyun gyu
INSTITUTE 계산과학부
TITLE [GS_C_DS] Group seminar : Reinforcement Learning introduction & applications in some complex systems
ABSTRACT

In this group seminar, the speaker discusses mathematical formulations and computational methods for solving problems adressed in Reinforcement Learning. More specifically, we focus on problems with Makov property with finite number of 'states' as well as 'actions' that an agent can take from a given state. Then, to find optimal actions corresponding to each state, we introduce three algorithms whose concepts have become foundations of more advanced Reinforcement Learning methods. Subsequently, we discuss potential applications of these algorithms to a few of important issues in the field of complex systems; for example, as for economic model for wealth exchange, how do we define the problem such that it is simple enough to appoach with our current knowledge of RL methods, and at the same time relavant to the real world?

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