Litcius/Paper detail

Optimal path planning method based on epsilon-greedy Q-learning algorithm

Vahide Bulut

2022Journal of the Brazilian Society of Mechanical Sciences and Engineering30 citationsDOI

Topics & Concepts

Motion planningPath (computing)Benchmark (surveying)Mathematical optimizationGreedy algorithmComputer scienceAny-angle path planningMobile robotAlgorithmPath lengthFunction (biology)Convergence (economics)ComputationQ-learningReinforcement learningRobotArtificial intelligenceMathematicsGeodesyEvolutionary biologyGeographyEconomic growthComputer networkBiologyEconomicsProgramming languageRobotic Path Planning AlgorithmsReinforcement Learning in RoboticsMetaheuristic Optimization Algorithms Research
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