417 search results - page 49 / 84 » The Dynamics of Reinforcement Learning in Cooperative Multia... |
CEC
2010
IEEE
12 years 11 months ago
2010
IEEE
—Mobile cooperative sensor networks are increasingly used for surveillance and reconnaissance tasks to support domain picture compilation. However, efficient distributed informat...
ECML
2003
Springer
14 years 26 days ago
2003
Springer
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
ANOR
2005
13 years 7 months ago
2005
The main objects here are finite-strategy games in which entropic terms are subtracted from the payoffs. After such subtraction each Nash equilibrium solves an explicit, unconstra...
ATAL
2009
Springer
14 years 2 months ago
2009
Springer
Certain observable features (tags), shared by a group of similar agents, can be used to signal intentions and can be effectively used to infer unobservable properties. Such infere...
AAMAS
2007
Springer
13 years 7 months ago
2007
Springer
Sophisticated agents operating in open environments must make decisions that efficiently trade off the use of their limited resources between dynamic deliberative actions and dom...