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AI
2010
Springer
13 years 11 months ago
Optimizing Advisor Network Size in a Personalized Trust-Modelling Framework for Multi-agent Systems
Abstract. This paper explores potential improvements to Zhang’s personalized trust approach for e-commerce, in particular examining means of optimizing the number of advisors tha...
Joshua Gorner

Presentation
2175views
15 years 8 months ago
Robust Robotic Path Planning Using Level Sets
In robotic navigation, path planning is aimed at getting the optimum collision-free path between a starting and target locations. The optimality criterion depends on the surround...
M. Sabry Hassouna
ATAL
2006
Springer
13 years 11 months ago
A constraint optimization framework for fractured robot teams
In dangerous and uncertain environments initial plans must be revised. Communication failures hamper this replanning. We introduce fractured subteams as a novel formalism for mode...
Mary Koes, Katia P. Sycara, Illah R. Nourbakhsh
ICML
2005
IEEE
14 years 8 months ago
Hedged learning: regret-minimization with learning experts
In non-cooperative multi-agent situations, there cannot exist a globally optimal, yet opponent-independent learning algorithm. Regret-minimization over a set of strategies optimiz...
Yu-Han Chang, Leslie Pack Kaelbling
ICRA
2010
IEEE
154views Robotics» more  ICRA 2010»
13 years 6 months ago
Multi-agent path planning with multiple tasks and distance constraints
— The DPC algorithm developed in our previous work is an efficient way of computing optimal trajectories for multiple robots in a distributed fashion with timeparameterized cons...
Subhrajit Bhattacharya, Maxim Likhachev, Vijay Kum...