181 search results - page 34 / 37 » State Space Reduction For Hierarchical Reinforcement Learnin... |
ATAL
2009
Springer
14 years 2 months ago
2009
Springer
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— 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]....
GLOBECOM
2008
IEEE
14 years 1 months ago
2008
IEEE
—MIMO-OFDM wireless systems require adaptive modulation and coding based on channel state information (CSI) to maximize throughput in changing wireless channels. Traditional adap...
UAI
2008
13 years 8 months ago
2008
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
ICRA
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract— The problem of an effective coordination of multiple autonomous robots is one of the most important tasks of the modern robotics. In turn, it is well known that the lea...