509 search results - page 36 / 102 » Compositional Models for Reinforcement Learning |
92
Voted
CCGRID
2008
IEEE
15 years 6 months ago
2008
IEEE
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
AAAI
2007
15 years 2 months ago
2007
The potentially catastrophic impact of a bioterrorist attack makes developing effective detection methods essential for public health. In the case of anthrax attack, a delay of ho...
ICML
2005
IEEE
16 years 17 days ago
2005
IEEE
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...
FLAIRS
2004
15 years 1 months ago
2004
er provides new techniques for abstracting the state space of a Markov Decision Process (MDP). These techniques extend one of the recent minimization models, known as -reduction, ...
114
click to vote
PRICAI
2000
Springer
15 years 3 months ago
2000
Springer
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...