Many-objective stochastic path finding using reinforcement learning

Bentz Tozer; Thomas A. Mazzuchi; Shahram Sarkani

doi:10.1016/j.eswa.2016.10.045

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Many-objective stochastic path finding using reinforcement learning

Bentz Tozer Thomas A. Mazzuchi Shahram Sarkani

Year: 2016 Journal: Expert Systems with Applications Vol: 72 Pages: 371-382 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2016.10.045

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Keywords:

Reinforcement learning Mathematical optimization Computer science A priori and a posteriori Stochastic dominance Pareto principle Set (abstract data type) Path (computing) Multi-objective optimization Voting Stochastic optimization Pareto optimal Social choice theory Artificial intelligence Machine learning Mathematics Mathematical economics

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Robotic Path Planning Algorithms

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Water resources management and optimization

Physical Sciences → Engineering → Ocean Engineering

Many-objective stochastic path finding using reinforcement learning

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