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PAAMS
2010
Springer
13 years 10 months ago
An UCT Approach for Anytime Agent-Based Planning
In this paper, we introduce a new heuristic search algorithm based on mean values for anytime planning, called MHSP. It consists in associating the principles of UCT, a bandit-base...
Damien Pellier, Bruno Bouzy, Marc Métivier
AIPS
2010
13 years 8 months ago
The Joy of Forgetting: Faster Anytime Search via Restarting
Anytime search algorithms solve optimisation problems by quickly finding a usually suboptimal solution and then finding improved solutions when given additional time. To deliver a...
Silvia Richter, Jordan Tyler Thayer, Wheeler Ruml
AIPS
2011
12 years 9 months ago
Effective Heuristics and Belief Tracking for Planning with Incomplete Information
Conformant planning can be formulated as a path-finding problem in belief space where the two main challenges are the heuristics to guide the search, and the representation and u...
Alexandre Albore, Miquel Ramírez, Hector Ge...
ISCI
2010
211views more  ISCI 2010»
13 years 4 months ago
A new heuristic approach for non-convex optimization problems
In this work a new optimization method, called the heuristic Kalman algorithm (HKA), is presented. This new algorithm is proposed as an alternative approach for solving continuous,...
Rosario Toscano, Patrick Lyonnet
AAAI
2004
13 years 7 months ago
Distance Estimates for Planning in the Discrete Belief Space
We present a general framework for studying heuristics for planning in the belief space. Earlier work has focused on giving implementations of heuristics that work well on benchma...
Jussi Rintanen