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ICML
2006
IEEE
15 years 10 months ago
Learning the structure of Factored Markov Decision Processes in reinforcement learning problems
Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision Processes (fmdps). However, these algorithms need ...
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuille...
HYBRID
2004
Springer
15 years 3 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
CDC
2008
IEEE
168views Control Systems» more  CDC 2008»
15 years 4 months ago
An information-driven framework for motion planning in robotic sensor networks: Complexity and experiments
Abstract— A geometric optimization based approach to deploy a mobile sensor network for the purpose of detecting and capturing mobile targets in the plane is presented in [1]. Th...
Rafael Fierro, Silvia Ferrari, Chenghui Cai
KI
2001
Springer
15 years 2 months ago
Constraint-Based Optimization of Priority Schemes for Decoupled Path Planning Techniques
Abstract Coordinating the motion of multiple mobile robots is one of the fundamental problems in robotics. The predominant algorithms for coordinating teams of robots are decoupled...
Maren Bennewitz, Wolfram Burgard, Sebastian Thrun
RAS
2002
129views more  RAS 2002»
14 years 9 months ago
Finding and optimizing solvable priority schemes for decoupled path planning techniques for teams of mobile robots
Coordinating the motion of multiple mobile robots is one of the fundamental problems in robotics. The predominant algorithms for coordinating teams of robots are decoupled and pri...
Maren Bennewitz, Wolfram Burgard, Sebastian Thrun