87 search results - page 11 / 18 » Hybrid Least-Squares Algorithms for Approximate Policy Evalu... |
PROMAS
2004
Springer
14 years 1 months ago
2004
Springer
Distributed partially observable Markov decision problems (POMDPs) have emerged as a popular decision-theoretic approach for planning for multiagent teams, where it is imperative f...
ICML
1996
IEEE
14 years 6 hour ago
1996
IEEE
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
UAI
2008
13 years 9 months ago
2008
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
INFOCOM
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract—We provide a formal model for the Change Management process for Enterprise IT systems, and develop change scheduling algorithms that seek to attain the “change capacit...