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DRUMS
1998
Springer
15 years 1 months ago
Handling uncertainty in control of autonomous robots
Autonomous robots need the ability to move purposefully and without human intervention in real-world environments that have not been speci cally engineered for them. These environm...
Alessandro Saffiotti
SC
2009
ACM
15 years 4 months ago
Kestrel: an XMPP-based framework for many task computing applications
This paper presents a new distributed computing framework for Many Task Computing (MTC) applications, based on the Extensible Messaging and Presence Protocol (XMPP). A lightweight...
Lance Stout, Michael A. Murphy, Sebastien Goasguen
ATAL
2007
Springer
15 years 3 months ago
Batch reinforcement learning in a complex domain
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Shivaram Kalyanakrishnan, Peter Stone
ATAL
2007
Springer
15 years 3 months ago
Modelling the provenance of data in autonomous systems
Determining the provenance of data, i.e. the process that led to that data, is vital in many disciplines. For example, in science, the process that produced a given result must be...
Simon Miles, Steve Munroe, Michael Luck, Luc Morea...
ATAL
2007
Springer
15 years 3 months ago
Coalition formation under uncertainty: bargaining equilibria and the Bayesian core stability concept
Coalition formation is a problem of great interest in AI, allowing groups of autonomous, rational agents to form stable teams. Furthermore, the study of coalitional stability conc...
Georgios Chalkiadakis, Evangelos Markakis, Craig B...