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ML
2006
ACM
113views Machine Learning» more  ML 2006»
13 years 7 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
SIGIR
2005
ACM
14 years 1 months ago
Optimization strategies for complex queries
Previous research into the efficiency of text retrieval systems has dealt primarily with methods that consider inverted lists in sequence; these methods are known as term-at-a-tim...
Trevor Strohman, Howard R. Turtle, W. Bruce Croft
ATAL
2010
Springer
13 years 5 months ago
Occlusion-aware multi-UAV surveillance
We present an agent-based coordination and planning method for aerial surveillance of multiple urban areas using a group of fixed-wing unmanned aerial vehicles (UAVs). The method ...
Eduard Semsch, Michal Jakob, Dusan Pavlícek...
CISIS
2011
IEEE
12 years 7 months ago
Agent-based Pickup and Delivery Planning: The Learnable Evolution Model Approach
—The Dynamic Vehicle Routing Problem (DVRP) is an optimization problem in which agents deliver orders that are not known in advance to the routing. Partial solutions need to be a...
Janusz Wojtusiak, Tobias Warden, Otthein Herzog
ATAL
2008
Springer
13 years 9 months ago
Sigma point policy iteration
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...
Michael H. Bowling, Alborz Geramifard, David Winga...