467 search results - page 12 / 94 » Learning of Agents with Limited Resources |
AROBOTS
2007
13 years 7 months ago
2007
— A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. To operate in the real world, autonomo...
HOLOMAS
2003
Springer
14 years 28 days ago
2003
Springer
Abstract. Market-based approaches have a long tradition in supporting of taskassignment multiagent systems. Such systems consist of customer agents with jobs to assign, and provide...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
The ability to provide flexible, automated management of air traffic is critical to meeting the ever increasing needs of the next generation air transportation systems. This probl...
NIPS
1997
13 years 9 months ago
1997
Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an agent’s limited computational resources to achieve a good estimate of the value of ...
ICRA
2009
IEEE
14 years 2 months ago
2009
IEEE
² Similar to humans and primates, artificial creatures like robots are limited in terms of allocation of their resources to huge sensory and perceptual information. Serial process...