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» An Ontology for Task World Models
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AIIA
2007
Springer
14 years 3 months ago
Reinforcement Learning in Complex Environments Through Multiple Adaptive Partitions
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...
CSCLP
2007
Springer
14 years 3 months ago
Generalizing Global Constraints Based on Network Flows
Global constraints are used in constraint programming to help users specify patterns that occur frequently in the real world. In addition, global constraints facilitate the use of ...
Igor Razgon, Barry O'Sullivan, Gregory M. Provan
ICRA
2006
IEEE
101views Robotics» more  ICRA 2006»
14 years 2 months ago
Policies based on Trajectory Libraries
— We present a control approach that uses a library of trajectories to establish a global control law or policy. This is an alternative to methods for finding global policies ba...
Martin Stolle, Christopher G. Atkeson
NCA
2006
IEEE
14 years 2 months ago
Parallelization of Geant4 Using TOP-C and Marshalgen
Geant4 is a very large, highly accurate toolkit for Monte Carlo simulation of particle-matter interaction. It has been applied to high-energy physics, cosmic ray modeling, radiati...
Gene Cooperman, Viet Ha Nguyen, Igor Malioutov
ATAL
2005
Springer
14 years 2 months ago
A real-world approach to secure and trusted negotiation in MASs
The problem of providing tools to support legally valid negotiations between agents is becoming more and more critical. Agents are supposed to perform crucial tasks autonomously; ...
Roberto Bianchi, Andrea Fontana, Federico Bergenti