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ATAL
2008
Springer
15 years 9 months ago
Multi-robot Markov random fields
We propose Markov random fields (MRFs) as a probabilistic mathematical model for unifying approaches to multi-robot coordination or, more specifically, distributed action selectio...
Jesse Butterfield, Odest Chadwicke Jenkins, Brian ...
ATAL
2008
Springer
15 years 9 months ago
Graph Laplacian based transfer learning in reinforcement learning
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...
Yi-Ting Tsao, Ke-Ting Xiao, Von-Wun Soo
ATAL
2008
Springer
15 years 9 months ago
Autonomic multi-agent management of power and performance in data centers
The rapidly rising cost and environmental impact of energy consumption in data centers has become a multi-billion dollar concern globally. In response, the IT Industry is actively...
Rajarshi Das, Jeffrey O. Kephart, Charles Lefurgy,...
ATAL
2008
Springer
15 years 9 months ago
AGENTFLY: a multi-agent airspace test-bed
The contribution presents a multi-agent technology in the domain of the air-traffic control of several autonomous aerial vehicles (manned as well as unmanned). The system has been...
David Sislák, Premysl Volf, Stepán K...
AAAI
2010
15 years 8 months ago
Constraint Programming for Data Mining and Machine Learning
Machine learning and data mining have become aware that using constraints when learning patterns and rules can be very useful. To this end, a large number of special purpose syste...
Luc De Raedt, Tias Guns, Siegfried Nijssen
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