Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Savolainen links antisocial behavior in childhood to disadvantage and poverty in adulthood

Norton et al. put dollar value on relief from chronic pain for Americans age 50+

Seefeldt says TANF restrictions may limit program's help for poor Americans

More News

Highlights

Paula Fomby to succeed Jennifer Barber as Associate Director of PSC

PSC community celebrates Violet Elder's retirement from PSC

Neal Krause wins GSA's Robert Kleemeier Award

U-M awarded $58 million to develop ideas for preventing and treating health problems

More Highlights

Susan A. Murphy photo

A generalization error for Q-learning

Publication Abstract

Murphy, Susan A. 2005. "A generalization error for Q-learning." Journal of Machine Learning Research, 6(July): 1073-1097.

Planning problems that involve learning a policy from a single training set of finite horizon trajectories arise in both social science and medical fields. We consider Q-learning with function approximation for this setting and derive an upper bound on the generalization error. This upper bound is in terms of quantities minimized by a Q-learning algorithm, the complexity of the approximation space and an approximation term due to the mismatch between Q-learning and the goal of learning a policy that maximizes the value function.

PMCID: PMC1475741. (Pub Med Central)

Browse | Search : All Pubs | Next