85 search results - page 16 / 17 » Solving Stochastic Planning Problems with Large State and Ac... |
AMC
2006
13 years 6 months ago
2006
-- Tien D. Kieu, in 10 papers posted to the quant-ph section of the xxx.lanl.gov preprint archive [some of which were also published in printed journals such as Proc. Royal Soc. A ...
CI
2005
13 years 6 months ago
2005
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
AIPS
2004
13 years 7 months ago
2004
The problem of optimal policy formulation for teams of resource-limited agents in stochastic environments is composed of two strongly-coupled subproblems: a resource allocation pr...
ICML
2004
IEEE
14 years 7 months ago
2004
IEEE
Reinforcement learning deals with learning optimal or near optimal policies while interacting with the environment. Application domains with many continuous variables are difficul...
IFM
2010
Springer
13 years 4 months ago
2010
Springer
Abstract. The automata-based model checking approach for randomized distributed systems relies on an operational interleaving semantics of the system by means of a Markov decision ...