Accession Number:

AD1014223

Title:

Guiding Autonomous Agents to Better Behaviors through Human Advice

Descriptive Note:

Journal Article

Corporate Author:

Indiana University at Bloomington Bloomington United States

Report Date:

2013-12-07

Pagination or Media Count:

12.0

Abstract:

Inverse Reinforcement Learning IRL is an approach for domain-reward discovery from demonstration, where anagent mines the reward function of a Markov decision process by observing an expert acting in the domain. In thestandard setting, it is assumed that the expert acts nearly optimally, and a large number of trajectories, i.e.,training examples are available for reward discovery and consequently, learning domain behavior. These are notpractical assumptions trajectories are often noisy, and there can be a paucity of examples.

Subject Categories:

Distribution Statement:

APPROVED FOR PUBLIC RELEASE