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142
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ECML
2004
Springer
15 years 10 months ago
Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics
In this paper, we show how the dynamics of Q-learning can be visualized and analyzed from a perspective of Evolutionary Dynamics (ED). More specifically, we show how ED can be use...
Pieter Jan't Hoen, Karl Tuyls
CCGRID
2004
IEEE
15 years 8 months ago
DWDM-RAM: enabling Grid services with dynamic optical networks
Advances in Grid technology enable the deployment of data-intensive distributed applications, which require moving Terabytes or even Petabytes of data between data banks. The curr...
Silvia M. Figueira, Sumit Naiksatam, Howard J. Coh...
147
Voted
ATAL
2009
Springer
15 years 2 months ago
Replicator Dynamics for Multi-agent Learning: An Orthogonal Approach
Today's society is largely connected and many real life applications lend themselves to be modeled as multi-agent systems. Although such systems as well as their models are d...
Michael Kaisers, Karl Tuyls
235
Voted
CGF
2011
14 years 8 months ago
Dynamic Insets for Context-Aware Graph Navigation
Maintaining both overview and detail while navigating in graphs, such as road networks, airline route maps, or social networks, is difficult, especially when targets of interest ...
S. Ghani, N. Henry Riche, N. Elmqvist
SPAA
2010
ACM
15 years 9 months ago
Lightweight, robust adaptivity for software transactional memory
When a program uses Software Transactional Memory (STM) to synchronize accesses to shared memory, the performance often depends on which STM implementation is used. Implementation...
Michael F. Spear