120 search results - page 24 / 24 » Hierarchical Solution of Markov Decision Processes using Mac... |
NIPS
1996
13 years 6 months ago
1996
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
HICSS
2003
IEEE
13 years 10 months ago
2003
IEEE
This paper uses partially observable Markov decision processes (POMDP’s) as a basic framework for MultiAgent planning. We distinguish three perspectives: first one is that of a...
IPCCC
2007
IEEE
13 years 11 months ago
2007
IEEE
Rapidly-spreading malicious software is an important threat on today’s computer networks. Most solutions that have been proposed to counter this threat are based on our ability ...
ICDCS
2010
IEEE
13 years 9 months ago
2010
IEEE
—We propose a steepest descent method to compute optimal control parameters for balancing between multiple performance objectives in stateless stochastic scheduling, wherein the ...
ICML
1996
IEEE
14 years 6 months ago
1996
IEEE
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...