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PRIMA
2009
Springer
16 years 1 months ago
Recursive Adaptation of Stepsize Parameter for Non-stationary Environments
In this article, we propose a method to adapt stepsize parameters used in reinforcement learning for dynamic environments. In general reinforcement learning situations, a stepsize...
Itsuki Noda
GECCO
2007
Springer
143views Optimization» more  GECCO 2007»
16 years 26 days ago
Learning and exploiting knowledge in multi-agent task allocation problems
Imagine a group of cooperating agents attempting to allocate tasks amongst themselves without knowledge of their own capabilities. Over time, they develop a belief of their own sk...
Adam Campbell, Annie S. Wu
IAT
2006
IEEE
16 years 22 days ago
A Market-Based Adaptation for Resolving Competing Needs for Scarce Resources
The dynamic nature of many real-world domains (e.g., military, emergency first response and hurricane relief, etc) requires adaptive resource allocation to respond to changes in t...
Rui Wang, Tracy Mullen, Viswanath Avasarala, John ...
MMAS
2004
Springer
16 years 1 days ago
Designing Emergency Guidance in a Social Interaction Platform
Future computing systems interact with a large number of users moving around buildings and streets. In this paper, we propose an example of such systems and how to evaluate ubicomp...
Hideyuki Nakanishi, Toru Ishida
ATAL
2003
Springer
15 years 12 months ago
Recommender systems: a market-based design
Recommender systems have been widely advocated as a way of coping with the problem of information overload for knowledge workers. Given this, multiple recommendation methods have ...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings