150 search results - page 3 / 30 » Using multi-agent systems for learning optimal policies for ... |
SASO
2007
IEEE
14 years 1 months ago
2007
IEEE
Multi-agent systems (MAS) provide a promising technology for addressing problems such as search and rescue missions, mine sweeping, and surveillance. These problems are a form of ...
ESAW
2004
Springer
14 years 22 days ago
2004
Springer
In this paper we present analysis and calibration techniques that exploit knowledge about a multi agent society in order to calibrate the system parameters of a corresponding socie...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using coo...
ATAL
2011
Springer
12 years 7 months ago
2011
Springer
In multi-agent planning environments, action models for each agent must be given as input. However, creating such action models by hand is difficult and time-consuming, because i...
ICML
2002
IEEE
14 years 8 months ago
2002
IEEE
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...