Explainable reinforcement learning in production control of job shop manufacturing system

Designing an adaptive production control system using reinforcement learning

(2020) Andreas Kuhnle et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Grandmaster level in StarCraft II using multi-agent reinforcement learning

(2019) Oriol Vinyals et al.   NATURE

Reinforcement learning for adaptive order dispatching in the semiconductor industry

(2018) Nicole Stricker et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

Simulation study on reward function of reinforcement learning in gantry work cell scheduling

(2018) Xinyan Ou et al.   JOURNAL OF MANUFACTURING SYSTEMS

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

(2018) David Silver et al.   SCIENCE

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Simulation of matrix-structured manufacturing systems

(2015) Malte Schönemann et al.   JOURNAL OF MANUFACTURING SYSTEMS

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

(2015) Sebastian Bach et al.   PLoS One

Industry 4.0

(2014) Heiner Lasi et al.   Business & Information Systems Engineering

Design and management of manufacturing systems for production quality

(2014) Marcello Colledani et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

Semiconductor final test scheduling with Sarsa(λ,k) algorithm

(2011) Zhicong Zhang et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Distributed policy search reinforcement learning for job-shop scheduling tasks

(2011) Thomas Gabel et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Intelligent dynamic control of stochastic economic lot scheduling by agent-based reinforcement learning

(2011) Jiao Wang et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

A novel multi-agent reinforcement learning approach for job scheduling in Grid computing

(2010) Jun Wu et al.   Future Generation Computer Systems-The International Journal of eScience

Reinforcement learning-based multi-agent system for network traffic signal control

(2010) I. Arel et al.   IET Intelligent Transport Systems

States versus Rewards: Dissociable Neural Prediction Error Signals Underlying Model-Based and Model-Free Reinforcement Learning

(2010) Jan Gläscher et al.   NEURON