MLPro — An integrative middleware framework for standardized machine learning tasks in Python-Reference-Cited by-同舟云学术

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MLPro — An integrative middleware framework for standardized machine learning tasks in Python

Published:2022-12 Issue: Volume:14 Page:100421
ISSN:2665-9638
Container-title:Software Impacts
language:en
Short-container-title:Software Impacts

Author:

Arend Detlef^ORCID,Diprasetya Mochammad Rizky,Yuwono Steve,Schwung Andreas

Publisher

Elsevier BV

Subject

Software

Reference21 articles.

1. MLPro 1.0 - Standardized reinforcement learning and game theory in Python;Arend;Mach Learn Appl,2022

2. Reinforcement Learning: An Introduction;Sutton,1998

3. Model-based reinforcement learning for Atari;Kaiser,2019

4. Brief survey of model-based reinforcement learning techniques;Pal,2020

5. Information theoretic MPC for model-based reinforcement learning;Williams,2017

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MLPro-MPPS - A Versatile and Configurable Production Systems Simulator in Python;2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference (ONCON);2023-12-08

2. Model-based learning on state-based potential games for distributed self-optimization of manufacturing systems;Journal of Manufacturing Systems;2023-12

3. A Model-Based Deep Learning Approach for Self-Learning in Smart Production Systems;2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA);2023-09-12

4. Integration of ABB Robot Manipulators and Robot Operating System for Industrial Automation;2023 IEEE 21st International Conference on Industrial Informatics (INDIN);2023-07-18

5. Model Predictive Control with Adaptive PLC-based Policy on Low Dimensional State Representation for Industrial Applications;2023 31st Mediterranean Conference on Control and Automation (MED);2023-06-26

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