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» On the decomposition of rational functions
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PKDD
2009
Springer
144views Data Mining» more  PKDD 2009»
14 years 3 months ago
Compositional Models for Reinforcement Learning
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
Nicholas K. Jong, Peter Stone
ICML
2005
IEEE
14 years 9 months ago
Proto-value functions: developmental reinforcement learning
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...
Sridhar Mahadevan
ECSA
2010
Springer
13 years 10 months ago
Functional Architecture Modeling for the Software Product Industry
Although a lot of research has been carried out on the technical architecture of software systems, the domain of Functional Architecture in the software product industry lacks a fo...
Sjaak Brinkkemper, Stella Pachidi
ICML
2007
IEEE
14 years 9 months ago
Learning state-action basis functions for hierarchical MDPs
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
Sarah Osentoski, Sridhar Mahadevan
CSDA
2007
87views more  CSDA 2007»
13 years 8 months ago
Estimation and inference in functional mixed-effects models
Functional mixed-effects models are very useful in analyzing functional data. A general functional mixed-effects model that inherits the flexibility of linear mixed-effects model...
Anestis Antoniadis, Theofanis Sapatinas