431 search results - page 51 / 87 » Observational Learning with Modular Networks |
ICC
2011
IEEE
12 years 7 months ago
2011
IEEE
—In this paper, recent results in game theory and stochastic approximation are brought together to mitigate the problem of femto-to-macrocell cross-tier interference. The main re...
SIROCCO
2003
13 years 9 months ago
2003
In this work, we embark on a study of the possibility (or impossibility), and the corresponding costs, of devising concurrent, low-contention implementations of atomic Read-Modify...
BLISS
2008
IEEE
14 years 2 months ago
2008
IEEE
The CSISM project is designing and implementing an automated cyberdefense decision-making mechanism with expert-level ability. CSISM interprets alerts and observations and takes d...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
AR
2007
13 years 7 months ago
2007
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...