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» Reinforcement Learning for Nash Equilibrium Generation
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GECCO
2006
Springer
175views Optimization» more  GECCO 2006»
13 years 9 months ago
A computational theory of adaptive behavior based on an evolutionary reinforcement mechanism
Two mathematical and two computational theories from the field of human and animal learning are combined to produce a more general theory of adaptive behavior. The cornerstone of ...
J. J. McDowell, Paul L. Soto, Jesse Dallery, Saule...
ATAL
2011
Springer
12 years 5 months ago
Using iterated reasoning to predict opponent strategies
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
Michael Wunder, Michael Kaisers, John Robert Yaros...
ATAL
2007
Springer
13 years 12 months ago
An incentive mechanism for message relaying in unstructured peer-to-peer systems
Distributed message relaying is an important function of a peer-topeer system to discover service providers. Existing search protocols in unstructured peer-to-peer systems either ...
Cuihong Li, Bin Yu, Katia P. Sycara
SASO
2009
IEEE
14 years 15 days ago
Self-organizing Bandwidth Sharing in Priority-Based Medium Access
In this paper, we present an analysis of self-organizing bandwidth sharing in priority-based medium access. For this purpose, the priority-based Access Game is introduced. Analysi...
Stefan Wildermann, Tobias Ziermann, Jürgen Te...
JSAC
2007
189views more  JSAC 2007»
13 years 5 months ago
Non-Cooperative Power Control for Wireless Ad Hoc Networks with Repeated Games
— One of the distinctive features in a wireless ad hoc network is lack of any central controller or single point of authority, in which each node/link then makes its own decision...
Chengnian Long, Qian Zhang, Bo Li, Huilong Yang, X...