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EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
14 years 1 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...
CDC
2009
IEEE
155views Control Systems» more  CDC 2009»
13 years 11 months ago
Efficient and robust communication topologies for distributed decision making in networked systems
Distributed decision making in networked systems depends critically on the timely availability of critical fresh information. Performance of networked systems, from the perspective...
John S. Baras, Pedram Hovareshti
ATAL
2010
Springer
13 years 8 months ago
Aggregation-mediated collective perception and action in a group of miniature robots
We introduce a novel case study in which a group of miniaturized robots screen an environment for undesirable agents, and destroy them. Because miniaturized robots are usually end...
Grégory Mermoud, Loïc Matthey, William...
SIROCCO
2008
13 years 9 months ago
Remembering without Memory: Tree Exploration by Asynchronous Oblivious Robots
In the effort to understand the algorithmic limitations of computing by a swarm of robots, the research has focused on the minimal capabilities that allow a problem to be solved. ...
Paola Flocchini, David Ilcinkas, Andrzej Pelc, Nic...
ATAL
2009
Springer
14 years 2 months ago
False name manipulations in weighted voting games: splitting, merging and annexation
An important aspect of mechanism design in social choice protocols and multiagent systems is to discourage insincere and manipulative behaviour. We examine the computational compl...
Haris Aziz, Mike Paterson