24 search results - page 4 / 5 » Strategy Learning for a Team in Adversary Environments |
ATAL
2005
Springer
13 years 11 months ago
2005
Springer
Many multi-agent systems consist of a complex network of autonomous yet interdependent agents. Examples of such networked multi-agent systems include supply chains and sensor netw...
FLAIRS
2009
13 years 3 months ago
2009
In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...
ALT
2005
Springer
14 years 3 months ago
2005
Springer
This paper shows how universal learning can be achieved with expert advice. To this aim, we specify an experts algorithm with the following characteristics: (a) it uses only feedba...
COLT
2008
Springer
13 years 7 months ago
2008
Springer
In the multi-armed bandit (MAB) problem there are k distributions associated with the rewards of playing each of k strategies (slot machine arms). The reward distributions are ini...
ICRA
2007
IEEE
14 years 10 days ago
2007
IEEE
— The exploration problem is a central issue in mobile robotics. A complete coverage is not practical if the environment is large with a few small hotspots, and the sampling cost...