CS Colloq: Autonomous Development of Skill Hierarchies

Title: Autonomous Development of Skill HierarchiesSpeaker: Ozgur Simsek (UMASS)ABSTRACT:
The broad problem I will address in this talk is design of autonomous agents
that are able to efficiently learn how to achieve desired behaviors in large,
complex environments. I will focus on one essential design component: the
ability to form high-level actions, or skills, from available primitives.
Specifically, I will characterize a useful class of skills in terms of general
properties of an agent's interaction with its environment---in contrast to
specific properties of a particular environment---and describe algorithms for
identifying and acquiring such skills autonomously.BIO:
Ozgur Simsek is a Ph.D. candidate in the Computer Science Department of the
University of Massachusetts at Amherst. Her research focuses on machine
learning, artificial intelligence, and network science.

Location: Seaver Science Library (SSL) - 150

Audiences: Everyone Is Invited

Contact: CS Colloquia