-
2
-
-
0034248853
-
Stochastic dynamic programming with factored representations
-
Boutilier, C., Dearden, R., & Goldszmidt, M. (2000). Stochastic dynamic programming with factored representations. Artif. Intel., 121(1-2), 49-107.
-
(2000)
Artif. Intel.
, vol.121
, Issue.1-2
, pp. 49-107
-
-
Boutilier, C.1
Dearden, R.2
Goldszmidt, M.3
-
3
-
-
1142281527
-
Model based bayesian exploration
-
Dearden, R., Friedman, N., & Andre, D. (1999). Model based bayesian exploration. In UAI, pp. 150-159.
-
(1999)
UAI
, pp. 150-159
-
-
Dearden, R.1
Friedman, N.2
Andre, D.3
-
5
-
-
80053158041
-
Bayesian structure learning using dynamic programming and MCMC
-
Eaton, D., & Murphy, K. (2007). Bayesian structure learning using dynamic programming and MCMC. In UAI.
-
(2007)
UAI
-
-
Eaton, D.1
Murphy, K.2
-
6
-
-
0037262841
-
Being Bayesian about Bayesian network structure: A Bayesian approach to structure discovery in Bayesian networks
-
Friedman, N., & Koller, D. (2003). Being Bayesian about Bayesian network structure: A Bayesian approach to structure discovery in Bayesian networks. Machine Learning, 50(1-2), 95-125.
-
(2003)
Machine Learning
, vol.50
, Issue.1-2
, pp. 95-125
-
-
Friedman, N.1
Koller, D.2
-
7
-
-
4544318426
-
Efficient solution algorithms for factored MDPs
-
Guestrin, C., Koller, D., Parr, R., & Venkataraman, S. (2003). Efficient solution algorithms for factored MDPs. Journal of Artificial Intelligence Research, 19, 399-468. (Pubitemid 41525926)
-
(2003)
Journal of Artificial Intelligence Research
, vol.19
, pp. 399-468
-
-
Guestrin, C.1
Koller, D.2
Parr, R.3
Venkataraman, S.4
-
8
-
-
34249761849
-
Learning bayesian networks: The combination of knowledge and statistical data
-
Heckerman, D., Geiger, D., & Chickering, D. M. (1995). Learning bayesian networks: The combination of knowledge and statistical data. Machine Learning, 20(3), 197-243.
-
(1995)
Machine Learning
, vol.20
, Issue.3
, pp. 197-243
-
-
Heckerman, D.1
Geiger, D.2
Chickering, D.M.3
-
9
-
-
0032073263
-
Planning and acting in partially observable stochastic domains
-
PII S000437029800023X
-
Kaelbling, L. P., Littman, M. L., & Cassandra, A. R. (1998). Planning and acting in partially observable stochastic domains. Artificial Intelligence, 101(1-2), 99-134. (Pubitemid 128387390)
-
(1998)
Artificial Intelligence
, vol.101
, Issue.1-2
, pp. 99-134
-
-
Kaelbling, L.P.1
Littman, M.L.2
Cassandra, A.R.3
-
10
-
-
0004835198
-
Approximate planning for factored POMDPs using belief state simplification
-
McAllester, D., & Singh, S. (1999). Approximate Planning for Factored POMDPs using Belief State Simplification. In UAI, pp. 409-416.
-
(1999)
UAI
, pp. 409-416
-
-
McAllester, D.1
Singh, S.2
-
11
-
-
34250730267
-
An analytic solution to discrete Bayesian reinforcement learning
-
Poupart, P., Vlassis, N., Hoey, J., & Regan, K. (2006). An analytic solution to discrete Bayesian reinforcement learning. In ICML, pp. 697-704.
-
(2006)
ICML
, pp. 697-704
-
-
Poupart, P.1
Vlassis, N.2
Hoey, J.3
Regan, K.4
|