139 search results - page 25 / 28 » Model-based function approximation in reinforcement learning |
81
Voted
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
We present a reinforcement learning architecture, Dyna-2, that encompasses both samplebased learning and sample-based search, and that generalises across states during both learni...
105
click to vote
NIPS
2008
14 years 11 months ago
2008
Actor-critic algorithms for reinforcement learning are achieving renewed popularity due to their good convergence properties in situations where other approaches often fail (e.g.,...
114
click to vote
ICML
1999
IEEE
15 years 10 months ago
1999
IEEE
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
This paper formalizes Feature Selection as a Reinforcement Learning problem, leading to a provably optimal though intractable selection policy. As a second contribution, this pape...
82
Voted
ICANN
2003
Springer
15 years 2 months ago
2003
Springer
Model based learning systems usually face to a problem of forgetting as a result of the incremental learning of new instances. Normally, the systems have to re-learn past instances...