EANT+KALMAN: An Efficient Reinforcement Learning Method for Continuous State Partially Observable Domains

@inproceedings{pub2990,
    author = {

Kassahun, Yohannes
 and 

de Gea Fernández, José
 and 

Metzen, Jan Hendrik
 and 

Edgington, Mark
 and 

Kirchner, Frank
},
    editor = {

Dengel, Andreas
 and 

Berns, K.
 and 

Breuel, Thomas
 and 

Bomarius, Frank
 and 

Roth-Berghofer, Thomas
},
    title = {EANT+KALMAN: An Efficient Reinforcement Learning Method for Continuous State Partially Observable Domains},
    booktitle = {KI 2008: Advances in Artificial Intelligence. German Conference on Artificial Intelligence (KI-08), 31st, September 23-26, Kaiserslautern, Germany},
    series = {Lecture Notes in Artificial Intelligence (LNAI)},
    year = {2008},
    volume = {5243},
    pages = {241--248},
    publisher = {Springer}
}