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ATAL
2008
Springer
13 years 9 months ago
Switching dynamics of multi-agent learning
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
Peter Vrancx, Karl Tuyls, Ronald L. Westra
IANDC
2011
119views more  IANDC 2011»
13 years 2 months ago
Quantitative Kleene coalgebras
We present a systematic way to generate (1) languages of (generalised) regular expressions, and (2) sound and complete axiomatizations thereof, for a wide variety of quantitative ...
Alexandra Silva, Filippo Bonchi, Marcello M. Bonsa...
INFOCOM
2007
IEEE
14 years 1 months ago
Exploiting Hidden Convexity For Flexible And Robust Resource Allocation In Cellular Networks
— A systematic approach to solve seemingly nonconvex resource allocation problems in wireless cellular networks is studied in this paper. By revealing and exploiting the hidden c...
Chee-Wei Tan, Daniel Pérez Palomar, Mung Ch...
ICTAI
2006
IEEE
14 years 1 months ago
Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents
In order for an autonomous agent to behave robustly in a variety of environments, it must have the ability to learn approximations to many different functions. The function approx...
Daniel Stronger, Peter Stone
SIGCOMM
2005
ACM
14 years 1 months ago
OpenDHT: a public DHT service and its uses
Large-scale distributed systems are hard to deploy, and distributed hash tables (DHTs) are no exception. To lower the barriers facing DHT-based applications, we have created a pub...
Sean C. Rhea, Brighten Godfrey, Brad Karp, John Ku...