3274 search results - page 203 / 655 » Using Learning in a Control Agent |
ATAL
2008
Springer
13 years 10 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 ...
TFS
2008
13 years 6 months ago
2008
Abstract--This study presents a functional-link-based neurofuzzy network (FLNFN) structure for nonlinear system control. The proposed FLNFN model uses a functional link neural netw...
SASO
2009
IEEE
14 years 3 months ago
2009
IEEE
—We examine the use of teleological metareasoning for self-adaptation in game-playing software agents. The goal of our work is to develop an interactive environment in which the ...
ATAL
2004
Springer
14 years 1 months ago
2004
Springer
We present a domain model and protocol for the exchange of recommendations by selfish agents without the aid of any centralized control. Our model captures a subset of the realiti...
KESAMSTA
2010
Springer
14 years 1 months ago
2010
Springer
Abstract. In Multi-Agent System, observing other agents and modelling their behaviour represents an essential task: agents must be able to quickly adapt to the environment and infe...