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ECML
2005
Springer
15 years 8 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 7 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 8 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 3 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 7 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