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CAEPIA
2011
Springer
12 years 7 months ago
Evaluating a Reinforcement Learning Algorithm with a General Intelligence Test
In this paper we apply the recent notion of anytime universal intelligence tests to the evaluation of a popular reinforcement learning algorithm, Q-learning. We show that a general...
Javier Insa-Cabrera, David L. Dowe, José He...
AIPS
2008
13 years 9 months ago
Using Constraint Networks on Timelines to Model and Solve Planning and Scheduling Problems
In the last decades, there has been an increasing interest in the connection between planning and constraint programming. Several approaches were used, leading to different forms ...
Cédric Pralet, Gérard Verfaillie
CP
2000
Springer
13 years 11 months ago
Linear Formulation of Constraint Programming Models and Hybrid Solvers
Constraint programming offers a variety of modeling objects such as logical and global constraints, that lead to concise and clear models for expressing combinatorial optimization...
Philippe Refalo
HAIS
2009
Springer
14 years 2 days ago
A Vehicle Routing Problem Solved by Agents
The main purpose of this study is to find out a good solution to the vehicle routing problem considering heterogeneous vehicles. This problem tries to solve the generation of paths...
Maria Belén Vaquerizo García
AGP
2010
IEEE
13 years 11 months ago
Agents, Multi-Agent Systems and Declarative Programming: What, When, Where, Why, Who, How?
This chapter tackles the relation between declarative languages and multi-agent systems by following the dictates of the five Ws (and one H) that characterize investigations. The ...
Matteo Baldoni, Cristina Baroglio, Viviana Mascard...