27 search results - page 2 / 6 » Compositionality for Markov Reward Chains with Fast Transiti... |
ICCAD
2002
IEEE
14 years 4 months ago
2002
IEEE
In macromodeling-based power estimation, circuit macromodels are created from simulations of synthetic input vector sequences. Fast generation of these sequences with all possible...
INFOCOM
2012
IEEE
11 years 10 months ago
2012
IEEE
—In this paper we develop an adaptive learning algorithm which is approximately optimal for an opportunistic spectrum access (OSA) problem with polynomial complexity. In this OSA...
AAMAS
2007
Springer
14 years 1 months ago
2007
Springer
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
CORR
2010
Springer
13 years 2 months ago
2010
Springer
We consider an opportunistic spectrum access (OSA) problem where the time-varying condition of each channel (e.g., as a result of random fading or certain primary users' activ...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
In this paper we study the online learning problem involving rested and restless multiarmed bandits with multiple plays. The system consists of a single player/user and a set of K...