Local Control is All You Need: Decentralizing and Coordinating Reinforcement Learning for Large-Scale Process Control

Author:

Bougie Nicolas1,Onishi Takashi1,Tsuruoka Yoshimasa1

Affiliation:

1. National Institute of Advanced Industrial Science and Technology,NEC-AIST AI Cooperative Research Laboratory,Tokyo,Japan

Publisher

IEEE

Reference18 articles.

1. Social influence as intrinsic motivation for multiagent deep reinforcement learning;jaques;Conference on Machine Learning,2019

2. One policy to control them all: Shared modular policies for agent-agnostic control;huang;International Conference on Machine Learning,2020

3. Vinyl Acetate Monomer (VAM) Plant Model: A New Benchmark Problem for Control and Operation Study

4. The Evolutionary Origins of Hierarchy

5. Benchmarking deep reinforcement learning for continuous control;duan;Proceedings of the International Conference on Machine Learning,2016

Cited by 1 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. Shared communication for coordinated large-scale reinforcement learning control;SICE Journal of Control, Measurement, and System Integration;2023-02-26

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