10 search results - page 2 / 2 » Learning Without State-Estimation in Partially Observable Ma... |
CDC
2008
IEEE
14 years 2 months ago
2008
IEEE
—We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooper...
MOBICOM
2009
ACM
14 years 2 months ago
2009
ACM
The coexistence of two unlicensed links is considered, where one link interferes with the transmission of the other, over a timevarying, block-fading channel. In the absence of fa...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
This paper presents a new framework for accumulating beliefs in spoken dialogue systems. The technique is based on updating a Bayesian Network that represents the underlying state...
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...
ECML
2007
Springer
14 years 2 months ago
2007
Springer
We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...