443 search results - page 69 / 89 » Modeling plan coordination in multiagent decision processes |
ROBOCUP
2007
Springer
14 years 1 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...
WSC
2008
13 years 10 months ago
2008
In today's global marketplace, the information associated with a product is fast becoming a critical link in the supply chain. Especially in fast moving consumer goods (FMCGs...
TOOLS
1999
IEEE
14 years 4 hour ago
1999
IEEE
The development of large software systems demands intensive cooperation among multiple project team members with different responsibilities. The development process is often distr...
ALDT
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. An optimal probabilistic-planning algorithm solves a problem, usually modeled by a Markov decision process, by finding its optimal policy. In this paper, we study the k ...