Agent Learning, Evolution, and Adaptation

Full Papers

Session: Track 1g: Agent Learning, Evolution, and Adaptation
Date/Time: Friday, May 18 / 3:00 p.m. – 4:00 p.m.
Location: Room 313A HCC
Chair(s): Van Parunak

Confidence-Based Policy Learning from Demonstration Using Gaussian Mixture Models
Sonia Chernova and Manuela Veloso

Forecasting Market Prices in a Supply Chain Game
Christopher Kiekintveld, Jason Miller, Patrick R. Jordan, and Michael P. Wellman

Conditional Random Fields for Activity Recognition
Douglas L. Vail, Manuela M. Veloso, and John D. Lafferty

Poster Papers


Using Priorities to Simplify Behavior Coordination
Brent Eskridge and Dean Hougen

Advice Taking in Multiagent Reinforcement Learning
Michael Rovatsos and Alexandros Belesiotis

ISBN: 978-81-904262-7-5 (RPS)                                                                                                      © 2007 IFAAMAS