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AAAI
2008
15 years 2 months ago
Economic Hierarchical Q-Learning
Hierarchical state decompositions address the curse-ofdimensionality in Q-learning methods for reinforcement learning (RL) but can suffer from suboptimality. In addressing this, w...
Erik G. Schultink, Ruggiero Cavallo, David C. Park...
104
Voted
CSCW
2002
ACM
15 years 9 days ago
Making web sites be places for social interaction
Technology can play an important role in enabling people to interact with each other. The Web is one such technology with the affordances for sharing information and for connectin...
Andreas Girgensohn, Alison Lee
AAAI
1996
15 years 1 months ago
Evolution-Based Discovery of Hierarchical Behaviors
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...
Justinian P. Rosca, Dana H. Ballard
114
Voted
NIPS
2004
15 years 1 months ago
Learning Gaussian Process Kernels via Hierarchical Bayes
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
Anton Schwaighofer, Volker Tresp, Kai Yu
94
Voted
CORR
2010
Springer
147views Education» more  CORR 2010»
15 years 17 days ago
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...