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PEPM
2000
ACM
15 years 10 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
192
Voted
PRICAI
2000
Springer
15 years 10 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 8 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 8 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...
CDC
2008
IEEE
149views Control Systems» more  CDC 2008»
15 years 8 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