3274 search results - page 203 / 655 » Using Learning in a Control Agent |
176
Voted
ATAL
2008
Springer
15 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 ...
203
Voted
TFS
2008
15 years 5 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...
155
Voted
SASO
2009
IEEE
16 years 1 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 ...
156
Voted
ATAL
2004
Springer
16 years 13 days 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...
215
Voted
KESAMSTA
2010
Springer
15 years 11 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...