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ML
2006
ACM
113views Machine Learning» more  ML 2006»
15 years 6 months ago
Learning to bid in bridge
Bridge bidding is considered to be one of the most difficult problems for game-playing programs. It involves four agents rather than two, including a cooperative agent. In additio...
Asaf Amit, Shaul Markovitch
TVCG
2008
138views more  TVCG 2008»
15 years 6 months ago
Real-Time Path Planning in Dynamic Virtual Environments Using Multiagent Navigation Graphs
We present a novel approach for efficient path planning and navigation of multiple virtual agents in complex dynamic scenes. We introduce a new data structure, Multiagent Navigatio...
Avneesh Sud, Erik Andersen, Sean Curtis, Ming C. L...
IJCIA
2002
137views more  IJCIA 2002»
15 years 6 months ago
Co-Evolution in Social Interactions
An interesting problem which has been widely investigated is under what circumstances will a society of rational agents realize some particular stable situations, and whether they ...
Hiroshi Sato, Akira Namatame
JOTA
2010
117views more  JOTA 2010»
15 years 5 months ago
Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization
We consider a distributed multi-agent network system where the goal is to minimize a sum of agent objective functions subject to a common set of constraints. For this problem, we p...
S. Sundhar Ram, Angelia Nedic, Venugopal V. Veerav...
178
Voted
ICRA
2010
IEEE
136views Robotics» more  ICRA 2010»
15 years 4 months ago
Efficient planning under uncertainty for a target-tracking micro-aerial vehicle
A helicopter agent has to plan trajectories to track multiple ground targets from the air. The agent has partial information of each target's pose, and must reason about its u...
Ruijie He, Abraham Bachrach, Nicholas Roy