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PEPM
2000
ACM
15 years 6 months ago
Calculating Sized Types
Many program optimisations and analyses, such as arraybound checking, termination analysis, etc, dependon knowing the size of a function's input and output. However, size inf...
Wei-Ngan Chin, Siau-Cheng Khoo
PRICAI
2000
Springer
15 years 6 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst
WSC
2008
15 years 5 months ago
Optimizing portfolio tail measures: Asymptotics and efficient simulation optimization
We consider a portfolio allocation problem where the objective function is a tail event such as probability of large portfolio losses. The dependence between assets is captured th...
Sandeep Juneja
ATAL
2008
Springer
15 years 5 months ago
Sigma point policy iteration
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...
Michael H. Bowling, Alborz Geramifard, David Winga...
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CDC
2008
IEEE
149views Control Systems» more  CDC 2008»
15 years 5 months ago
Distributed computation under bit constraints
Abstract-- A network of nodes communicate via noisy channels. Each node has some real-valued initial measurement or message. The goal of each of the nodes is to acquire an estimate...
Ola Ayaso, Devavrat Shah, Munther A. Dahleh