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AAMAS
2004
Springer
15 years 4 months ago
Autonomous Agents that Learn to Better Coordinate
A fundamental difficulty faced by groups of agents that work together is how to efficiently coordinate their efforts. This coordination problem is both ubiquitous and challenging,...
Andrew Garland, Richard Alterman
TWC
2008
120views more  TWC 2008»
15 years 4 months ago
Cooperation Enforcement and Learning for Optimizing Packet Forwarding in Autonomous Wireless Networks
In wireless ad hoc networks, autonomous nodes are reluctant to forward others' packets because of the nodes' limited energy. However, such selfishness and noncooperation ...
Charles Pandana, Zhu Han, K. J. Ray Liu
PATAT
2004
Springer
130views Education» more  PATAT 2004»
15 years 9 months ago
Learning User Preferences in Distributed Calendar Scheduling
Abstract. Within the field of software agents, there has been increasing interest in automating the process of calendar scheduling in recent years. Calendar (or meeting) schedulin...
Jean Oh, Stephen F. Smith
ALS
2003
Springer
15 years 9 months ago
Not Everything We Know We Learned
This is foremost a methodological contribution. It focuses on the foundation of anticipation and the pertinent implications that anticipation has on learning (theory and experiment...
Mihai Nadin
ICML
1999
IEEE
16 years 5 months ago
Least-Squares Temporal Difference Learning
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
Justin A. Boyan