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» Bias and Variance Approximation in Value Function Estimates
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NIPS
2007
13 years 10 months ago
Bayes-Adaptive POMDPs
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...
CORR
2010
Springer
204views Education» more  CORR 2010»
13 years 7 months ago
Predictive State Temporal Difference Learning
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
Byron Boots, Geoffrey J. Gordon
JMLR
2010
119views more  JMLR 2010»
13 years 3 months ago
A Convergent Online Single Time Scale Actor Critic Algorithm
Actor-Critic based approaches were among the first to address reinforcement learning in a general setting. Recently, these algorithms have gained renewed interest due to their gen...
Dotan Di Castro, Ron Meir
ICML
2005
IEEE
14 years 9 months ago
Combining model-based and instance-based learning for first order regression
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
Kurt Driessens, Saso Dzeroski
ICIP
2008
IEEE
14 years 10 months ago
Automatic liver tumor diagnosis with Dynamic-Contrast Enhanced MRI
Dynamic-Contrast Enhanced MRI (DCE-MRI) is currently used as a complementary diagnosis tool to assess the malignancy of the liver tumor, called hepatoma, hepatocarcinoma, hepatoce...
Liliana Caldeira, Isabela Silva, João Sanch...