260 search results - page 41 / 52 » Quasi-Deterministic Partially Observable Markov Decision Pro... |
AIED
2011
Springer
13 years 12 days ago
2011
Springer
Both human and automated tutors must infer what a student knows and plan future actions to maximize learning. Though substantial research has been done on tracking and modeling stu...
AAAI
2006
13 years 10 months ago
2006
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
CISS
2008
IEEE
14 years 3 months ago
2008
IEEE
Abstract—We consider adapting the transmission rate to maximize the goodput, i.e., the amount of data transmitted without error, over a continuous Markov flat-fading wireless ch...
AI
2006
Springer
14 years 16 days ago
2006
Springer
Abstract. Current point-based planning algorithms for solving partially observable Markov decision processes (POMDPs) have demonstrated that a good approximation of the value funct...
GECCO
2009
Springer
13 years 6 months ago
2009
Springer
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...