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ECML
2005
Springer
15 years 11 months ago
Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
Masoumeh T. Izadi, Doina Precup
NEUROSCIENCE
2001
Springer
15 years 10 months ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar
PODC
2004
ACM
15 years 11 months ago
Computation in networks of passively mobile finite-state sensors
We explore the computational power of networks of small resource-limited mobile agents. We define two new models of computation based on pairwise interactions of finite-state ag...
Dana Angluin, James Aspnes, Zoë Diamadi, Mich...
JPDC
2007
84views more  JPDC 2007»
15 years 6 months ago
Distributed average consensus with least-mean-square deviation
We consider a stochastic model for distributed average consensus, which arises in applications such as load balancing for parallel processors, distributed coordination of mobile a...
Lin Xiao, Stephen P. Boyd, Seung-Jean Kim
MATA
2001
Springer
15 years 10 months ago
The Spider Model of Agents
We take the position that large-scale distributed systems are better understood, at all levels, when locality is taken into account. When communication and mobility are clearly se...
F. Y. Huang, David B. Skillicorn