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ICML
1994
IEEE
14 years 16 days ago
A Modular Q-Learning Architecture for Manipulator Task Decomposition
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
Chen K. Tham, Richard W. Prager
ATAL
2008
Springer
13 years 11 months ago
Approximate predictive state representations
Predictive state representations (PSRs) are models that represent the state of a dynamical system as a set of predictions about future events. The existing work with PSRs focuses ...
Britton Wolfe, Michael R. James, Satinder P. Singh
NIPS
2001
13 years 10 months ago
Model-Free Least-Squares Policy Iteration
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Michail G. Lagoudakis, Ronald Parr
CSEE
1999
Springer
14 years 1 months ago
Replacing a Hospital Information System: An Example of a Real-World Case Study
Real-world case studies are important to complement the academic skills and knowledge acquired by computer science students. In this paper we relate our experiences with a course ...
Klaas Sikkel, Ton A. M. Spil, Rob L. W. van de Weg
SIGCSE
1998
ACM
131views Education» more  SIGCSE 1998»
14 years 1 months ago
Animation, visualization, and interaction in CS 1 assignments
Programs that use animations or visualizations attract student interest and offer feedback that can enhance different learning styles as students work to master programming and pr...
Owen L. Astrachan, Susan H. Rodger