Better Reinforcement Learning with Online Representation Discovery and Sample Efficient Learning
Abstract
A fundamental goal of artificial intelligence is to create agents make good decisions as they interact with astochastic environment. The opportunity for impact of such agents has never been greater, as telecommunicationsand the internet of things open the potential for agents that learn and assist us throughout the day andacross our lives. Such agents could scale the benefits and powers of individualized tutors to enhance navyrecruit training, provide personalized patient treatment recommendations, and guide infrastructure maintenance.Many of these opportunities come with an associated responsibility: the impact of poor decisionscan be severe, causing harm to people, substantial loss of revenue or damage to expensive equipment. Myproposed work tackles some of the key foundational issues required to learn to make good decisions in suchenvironments.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 04, 2018
- Source ID
- N000141812769
Entities
People
- Emma Brunskill
Organizations
- Office of Naval Research
- Stanford University
- United States Navy