Sciweavers

495 search results - page 77 / 99
» Constructing States for Reinforcement Learning
Sort
View
IJCNN
2006
IEEE
14 years 4 months ago
Neural Network Control of Spark Ignition Engines with High EGR Levels
— Research has shown substantial reductions in the oxides of nitrogen (NOx) concentrations by using 10% to 25% exhaust gas recirculation (EGR) in spark ignition (SI) engines [1]....
Atmika Singh, Jonathan Blake Vance, Brian C. Kaul,...
LR
2011
170views more  LR 2011»
13 years 5 months ago
Routing automated guided vehicles in container terminals through the Q-learning technique
This paper suggests a routing method for automated guided vehicles in port terminals that uses the Q-learning technique. One of the most important issues for the efficient operati...
Su Min Jeon, Kap Hwan Kim, Herbert Kopfer
WONTO
2008
13 years 11 months ago
A Survey of Ontology Learning Procedures
Abstract. Ontologies constitute an approach for knowledge representation that can be shared establishing a shared vocabulary for different applications and are also the backbone of...
Lucas Drumond, Rosario Girardi
IROS
2007
IEEE
100views Robotics» more  IROS 2007»
14 years 4 months ago
Incremental behavior acquisition based on reliability of observed behavior recognition
— We propose a novel approach for acquisition and development of behaviors through observation in multi-agent environment. Observed behaviors of others give fruitful hints for a ...
Tomoki Nishi, Yasutake Takahashi, Minoru Asada
ATAL
2004
Springer
14 years 3 months ago
Product Distribution Theory for Control of Multi-Agent Systems
Product Distribution (PD) theory is a new framework for controlling Multi-Agent Systems (MAS’s). First we review one motivation of PD theory, as the information-theoretic extens...
Chiu Fan Lee, David H. Wolpert