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ATAL
2009
Springer
13 years 11 months ago
A distributed constraint optimization approach for coordination under uncertainty
Distributed Constraint Optimization (DCOP) provides a rich framework for modeling multi-agent coordination problems. Existing problem domains for DCOP focus on small (<100 vari...
James Atlas
AAAI
2011
12 years 4 months ago
Coordinated Multi-Agent Reinforcement Learning in Networked Distributed POMDPs
In many multi-agent applications such as distributed sensor nets, a network of agents act collaboratively under uncertainty and local interactions. Networked Distributed POMDP (ND...
Chongjie Zhang, Victor R. Lesser
ATAL
2010
Springer
13 years 5 months ago
The multi variable multi constrained distributed constraint optimization framework
Service coordination in domains involving temporal constraints and duration uncertainty has previously been solved with a greedy algorithm that attempts to satisfy service requests...
Christopher Portway, Edmund H. Durfee
ATAL
2010
Springer
13 years 5 months ago
When should there be a "Me" in "Team"?: distributed multi-agent optimization under uncertainty
Increasing teamwork between agents typically increases the performance of a multi-agent system, at the cost of increased communication and higher computational complexity. This wo...
Matthew E. Taylor, Manish Jain, Yanquin Jin, Makot...
CCE
2008
13 years 4 months ago
Chance constrained programming approach to process optimization under uncertainty
Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
Pu Li, Harvey Arellano-Garcia, Günter Wozny