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ATAL
2006
Springer
15 years 2 months ago
Learning to cooperate in multi-agent social dilemmas
In many Multi-Agent Systems (MAS), agents (even if selfinterested) need to cooperate in order to maximize their own utilities. Most of the multi-agent learning algorithms focus on...
Jose Enrique Munoz de Cote, Alessandro Lazaric, Ma...
FPL
2004
Springer
164views Hardware» more  FPL 2004»
15 years 2 months ago
Dynamic Prefetching in the Virtual Memory Window of Portable Reconfigurable Coprocessors
Abstract. In Reconfigurable Systems-On-Chip (RSoCs), operating systems can primarily (1) manage the sharing of limited reconfigurable resources, and (2) support communication betwe...
Miljan Vuletic, Laura Pozzi, Paolo Ienne
83
Voted
ATAL
2008
Springer
15 years 1 months ago
On the usefulness of opponent modeling: the Kuhn Poker case study
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...
Alessandro Lazaric, Mario Quaresimale, Marcello Re...
AAAI
2000
15 years 11 days ago
Iterative Flattening: A Scalable Method for Solving Multi-Capacity Scheduling Problems
One challenge for research in constraint-based scheduling has been to produce scalable solution procedures under fairly general representational assumptions. Quite often, the comp...
Amedeo Cesta, Angelo Oddi, Stephen F. Smith
ATAL
2010
Springer
15 years 4 days ago
Distributed multiagent learning with a broadcast adaptive subgradient method
Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
Renato L. G. Cavalcante, Alex Rogers, Nicholas R. ...