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ICML
2001
IEEE
14 years 9 months ago
Direct Policy Search using Paired Statistical Tests
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
Malcolm J. A. Strens, Andrew W. Moore
HYBRID
2004
Springer
14 years 2 months ago
Incremental Search Methods for Reachability Analysis of Continuous and Hybrid Systems
Abstract. In this paper we present algorithms and tools for fast and efficient reachability analysis, applicable to continuous and hybrid systems. Most of the work on reachability ...
Amit Bhatia, Emilio Frazzoli
JAIR
2006
102views more  JAIR 2006»
13 years 8 months ago
Multiple-Goal Heuristic Search
This paper presents a new framework for anytime heuristic search where the task is to achieve as many goals as possible within the allocated resources. We show the inadequacy of t...
Dmitry Davidov, Shaul Markovitch
SOFSEM
2004
Springer
14 years 2 months ago
Measures of Intrinsic Hardness for Constraint Satisfaction Problem Instances
Our aim is to investigate the factors which determine the intrinsic hardness of constructing a solution to any particular constraint satisfaction problem instance, regardless of th...
George Boukeas, Constantinos Halatsis, Vassilis Zi...
ICRA
2006
IEEE
103views Robotics» more  ICRA 2006»
14 years 2 months ago
Heuristic Search for Coordinating Robot Agents in Adversarial Domains
Abstract— This paper presents a search-based, real-time adaptive solution to the multi-robot coordination problem in adversarial environments. By decomposing the global coordinat...
Ilya Levner, Alex Kovarsky, Hong Zhang