155 search results - page 31 / 31 » Multi-agent Reinforcement Learning Using Strategies and Voti... |
AIIDE
2008
13 years 7 months ago
2008
As massively multi-player gaming environments become more detailed, developing agents to populate these virtual worlds as capable non-player characters poses an increasingly compl...
PPSN
2004
Springer
13 years 10 months ago
2004
Springer
A scalable architecture to facilitate emergent (self-organized) task decomposition using neural networks and evolutionary algorithms is presented. Various control system architectu...
KI
2002
Springer
13 years 4 months ago
2002
Springer
In many approaches for qualitative spatial reasoning, navigation of an agent in a more or less static environment is considered (e.g. in the double-cross calculus [12]). However, i...
CIMCA
2008
IEEE
13 years 11 months ago
2008
IEEE
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
KDD
2010
ACM
13 years 3 months ago
2010
ACM
The dynamic marketplace in online advertising calls for ranking systems that are optimized to consistently promote and capitalize better performing ads. The streaming nature of on...