132 search results - page 22 / 27 » Generalization in Reinforcement Learning: Safely Approximati... |
ICML
2008
IEEE
16 years 12 days ago
2008
IEEE
We describe an algorithm for learning in the presence of multiple criteria. Our technique generalizes previous approaches in that it can learn optimal policies for all linear pref...
107
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ICML
2005
IEEE
16 years 12 days ago
2005
IEEE
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
GECCO
2009
Springer
15 years 6 months ago
2009
Springer
Tetris is a falling block game where the player’s objective is to arrange a sequence of different shaped tetrominoes smoothly in order to survive. In the intelligence games, ag...
100
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ICML
2009
IEEE
16 years 12 days ago
2009
IEEE
We consider the task of reinforcement learning with linear value function approximation. Temporal difference algorithms, and in particular the Least-Squares Temporal Difference (L...
ICML
2008
IEEE
16 years 12 days 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...