4.6 Article

Tuning of reinforcement learning parameters applied to SOP using the Scott-Knott method

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

Controller exploitation-exploration reinforcement learning architecture for computing near-optimal policies

Erick Asiain et al.

SOFT COMPUTING (2019)

Article Automation & Control Systems

MOO-MDP: An Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning

Felipe Leno Da Silva et al.

IEEE TRANSACTIONS ON CYBERNETICS (2019)

Article Computer Science, Hardware & Architecture

Autonomous power management in mobile devices using dynamic frequency scaling and reinforcement learning for energy minimization

Sidartha A. L. Carvalho et al.

MICROPROCESSORS AND MICROSYSTEMS (2019)

Article Automation & Control Systems

Aligning individual and collective welfare in complex socio-technical systems by combining metaheuristics and reinforcement learning

Ana L. C. Bazzan

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2019)

Article Computer Science, Artificial Intelligence

Reinforcement Learning and Deep Learning Based Lateral Control for Autonomous Driving

Dong Li et al.

IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (2019)

Article Automation & Control Systems

Solving the optimal path planning of a mobile robot using improved Q-learning

Ee Soong Low et al.

ROBOTICS AND AUTONOMOUS SYSTEMS (2019)

Article Computer Science, Interdisciplinary Applications

A method for model selection using reinforcement learning when viewing design as a sequential decision process

Jaskanwal P. S. Chhabra et al.

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2019)

Article Computer Science, Artificial Intelligence

A hybrid algorithm using a genetic algorithm and multiagent reinforcement learning heuristic to solve the traveling salesman problem

Mir Mohammad Alipour et al.

NEURAL COMPUTING & APPLICATIONS (2018)

Article Automation & Control Systems

A Response Surface Model Approach to Parameter Estimation of Reinforcement Learning for the Travelling Salesman Problem

Andre L. C. Ottoni et al.

JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS (2018)

Proceedings Paper Computer Science, Cybernetics

Deep Reinforcement Learning with Fully Convolutional Neural Network to Solve An Earthwork Scheduling Problem

Seongcheol Woo et al.

2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) (2018)

Proceedings Paper Computer Science, Information Systems

Parameters tuning and optimization for Reinforcement Learning algorithms using Evolutionary Computing

Franklin Cardenoso Fernandez et al.

PROCEEDINGS 3RD INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS AND COMPUTER SCIENCE (INCISCOS 2018) (2018)

Article Computer Science, Interdisciplinary Applications

Integrating estimation of distribution algorithms versus Q-learning into Meta-RaPS for solving the 0-1 multidimensional knapsack problem

Arif Arin et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2017)

Article Computer Science, Interdisciplinary Applications

An improved Ant Colony System for the Sequential Ordering Problem

Rafal Skinderowicz

COMPUTERS & OPERATIONS RESEARCH (2017)

Article Management

Stronger multi-commodity flow formulations of the (capacitated) sequential ordering problem

Adam N. Letchford et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2016)

Article Computer Science, Information Systems

Hierarchical Reinforcement Learning and Parallel Computing Applied to the K-Server Problem

M. L. Costa et al.

IEEE LATIN AMERICA TRANSACTIONS (2016)

Article Computer Science, Artificial Intelligence

Multi-objective multiagent credit assignment in reinforcement learning and NSGA-II

Logan Yliniemi et al.

SOFT COMPUTING (2016)

Article Computer Science, Artificial Intelligence

Transferring knowledge as heuristics in reinforcement learning: A case-based approach

Reinaldo A. C. Bianchi et al.

ARTIFICIAL INTELLIGENCE (2015)

Article Operations Research & Management Science

An exact algorithm for the sequential ordering problem and its application to switching energy minimization in compilers

Ghassan Shobaki et al.

COMPUTATIONAL OPTIMIZATION AND APPLICATIONS (2015)

Article Multidisciplinary Sciences

Human-level control through deep reinforcement learning

Volodymyr Mnih et al.

NATURE (2015)

Article Computer Science, Theory & Methods

A new multiagent reinforcement learning algorithm to solve the symmetric traveling salesman problem

Mir Mohammad Alipour et al.

MULTIAGENT AND GRID SYSTEMS (2015)

Review Computer Science, Artificial Intelligence

Reactive Search strategies using Reinforcement Learning, local search algorithms and Variable Neighborhood Search

Joao Paulo Queiroz dos Santos et al.

EXPERT SYSTEMS WITH APPLICATIONS (2014)

Review Computer Science, Artificial Intelligence

Swarm robots reinforcement learning convergence accuracy-based learning classifier systems with gradient descent (XCS-GD)

Jie Shao et al.

NEURAL COMPUTING & APPLICATIONS (2014)

Review Robotics

Reinforcement learning in robotics: A survey

Jens Kober et al.

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2013)

Article Computer Science, Interdisciplinary Applications

A hybrid particle swarm optimization approach for the sequential ordering problem

Davide Anghinolfi et al.

COMPUTERS & OPERATIONS RESEARCH (2011)

Article Management

The multi-commodity one-to-one pickup-and-delivery traveling salesman problem

Hipolito Hernandez-Perez et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2009)

Article Computer Science, Artificial Intelligence

Study of genetic algorithm with reinforcement learning to solve the TSP

Fei Liu et al.

EXPERT SYSTEMS WITH APPLICATIONS (2009)

Article Computer Science, Interdisciplinary Applications

A heuristic manipulation technique for the sequential ordering problem

R. Montemanni et al.

COMPUTERS & OPERATIONS RESEARCH (2008)

Article Computer Science, Artificial Intelligence

Neurodynamic programming: a case study of the traveling salesman problem

Jia Ma et al.

NEURAL COMPUTING & APPLICATIONS (2008)

Article Computer Science, Theory & Methods

A cooperative parallel rollout algorithm for the sequential ordering problem

F Guerriero et al.

PARALLEL COMPUTING (2003)

Article Computer Science, Artificial Intelligence

Meta-learning in Reinforcement Learning

N Schweighofer et al.

NEURAL NETWORKS (2003)

Article Operations Research & Management Science

A branch & cut algorithm for the asymmetric traveling salesman problem with precedence constraints

N Ascheuer et al.

COMPUTATIONAL OPTIMIZATION AND APPLICATIONS (2000)

Article Computer Science, Interdisciplinary Applications

An ant colony system hybridized with a new local search for the sequential ordering problem

LM Gambardella et al.

INFORMS JOURNAL ON COMPUTING (2000)