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GECCO
2006
Springer
208views Optimization» more  GECCO 2006»
13 years 11 months ago
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
Matthew E. Taylor, Shimon Whiteson, Peter Stone
NIPS
1993
13 years 8 months ago
Temporal Difference Learning of Position Evaluation in the Game of Go
The game of Go has a high branching factor that defeats the tree search approach used in computer chess, and long-range spatiotemporal interactions that make position evaluation e...
Nicol N. Schraudolph, Peter Dayan, Terrence J. Sej...
ICIP
2000
IEEE
13 years 11 months ago
Video Dissolve and Wipe Detection via Spatio-Temporal Images of Chromatic Histogram Differences
Gradual transitions represent a challenging problem for temporal segmentation of video. Here we present two new features for detecting these. Recently, Ngo et al. set out a method...
Mark S. Drew, Ze-Nian Li, Xiang Zhong
ECAI
2000
Springer
13 years 11 months ago
Efficient Asymptotic Approximation in Temporal Difference Learning
Abstract. TD(
Frédérick Garcia, Florent Serre
ML
2002
ACM
168views Machine Learning» more  ML 2002»
13 years 7 months ago
On Average Versus Discounted Reward Temporal-Difference Learning
We provide an analytical comparison between discounted and average reward temporal-difference (TD) learning with linearly parameterized approximations. We first consider the asympt...
John N. Tsitsiklis, Benjamin Van Roy