Unlike traditional reinforcement learning (RL), market-based RL is in principle applicable to worlds described by partially observable Markov Decision Processes (POMDPs), where an ...
The software suite we will demonstrate at AAAI '06 was designed around planning with factored Markov decision processes (MDPs). It is a user-friendly suite that facilitates d...
Krol Kevin Mathias, Casey Lengacher, Derek William...
Existing algorithms for discrete partially observable Markov decision processes can at best solve problems of a few thousand states due to two important sources of intractability:...
Primary user emulation attack in multichannel cognitive radio systems is discussed. An attacker is assumed to be able to send primary-user-like signals during spectrum sensing peri...