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PKDD
2009
Springer
181views Data Mining» more  PKDD 2009»
16 years 1 months ago
Active Learning for Reward Estimation in Inverse Reinforcement Learning
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
Manuel Lopes, Francisco S. Melo, Luis Montesano
SAMOS
2009
Springer
16 years 1 months ago
Implementing Fine/Medium Grained TLP Support in a Many-Core Architecture
We believe that future many-core architectures should support a simple and scalable way to execute many threads that are generated by parallel programs. A good candidate to impleme...
Roberto Giorgi, Zdravko Popovic, Nikola Puzovic
SAICSIT
2009
ACM
16 years 1 months ago
A lightweight methodology to improve web accessibility
This paper introduces a methodology to improve the accessibility of websites with the use of free so-called automatic tools. The methodology has three iterative phases, namely ass...
Mardé Greeff, Paula Kotzé
AINA
2008
IEEE
16 years 1 months ago
A Protocol for Content-Based Communication in Disconnected Mobile Ad Hoc Networks
In content-based communication, information flows towards interested hosts rather than towards specifically set destinations. This new style of communication perfectly fits the...
Julien Haillot, Frédéric Guidec
CDC
2008
IEEE
200views Control Systems» more  CDC 2008»
16 years 1 months ago
Maximum-likelihood Kalman filtering for switching discrete-time linear systems
— State estimation is addressed for a class of discrete-time systems that may switch among different modes taken from a finite set. The system and measurement equations of each ...
Angelo Alessandri, Marco Baglietto, Giorgio Battis...