This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
In this paper, we introduce EXACT, the EXperimental Algorithmics Computational Toolkit. EXACT is a software framework for describing, controlling, and analyzing computer experimen...
William E. Hart, Jonathan W. Berry, Robert T. Heap...
Developing scalable algorithms for solving partially observable Markov decision processes (POMDPs) is an important challenge. One promising approach is based on representing POMDP...
Christopher Amato, Daniel S. Bernstein, Shlomo Zil...
In cooperative peer-to-peer information retrieval systems, each node can be considered an intelligent agent and these agents work collectively to provide an information retrieval ...
We present a methodology, an environment and supporting tools to map an application on a wireless sensor network (WSN). While the method is quite general, we use extensively an exa...
Alvise Bonivento, Luca P. Carloni, Alberto L. Sang...