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ML
2000
ACM
126views Machine Learning» more  ML 2000»
13 years 7 months ago
Learning to Play Chess Using Temporal Differences
In this paper we present TDLEAF( ), a variation on the TD( ) algorithm that enables it to be used in conjunction with game-tree search. We present some experiments in which our che...
Jonathan Baxter, Andrew Tridgell, Lex Weaver
ML
2002
ACM
154views Machine Learning» more  ML 2002»
13 years 7 months ago
Technical Update: Least-Squares Temporal Difference Learning
TD() is a popular family of algorithms for approximate policy evaluation in large MDPs. TD() works by incrementally updating the value function after each observed transition. It h...
Justin A. Boyan
NECO
2010
52views more  NECO 2010»
13 years 5 months ago
Hyperbolically Discounted Temporal Difference Learning
William H. Alexander, Joshua W. Brown
ICIP
2010
IEEE
13 years 5 months ago
Stationary foreground detection using background subtraction and temporal difference in video surveillance
In this paper we describe a new algorithm focused on obtaining stationary foreground regions, which is useful for applications like the detection of abandoned/stolen objects and p...
Álvaro Bayona, Juan C. SanMiguel, Jos&eacut...