Deep Reinforcement Learning Acceleration for Real-Time Edge Computing Mixed Integer Programming Problems-Reference-Cited by-同舟云学术

Deep Reinforcement Learning Acceleration for Real-Time Edge Computing Mixed Integer Programming Problems

Author:

Gerogiannis Gerasimos^ORCID,Birbas Michael^ORCID,Leftheriotis Aimilios^ORCID,Mylonas Eleftherios^ORCID,Tzanis Nikolaos^ORCID,Birbas Alexios^ORCID

Funder

H2020 Project “ENERgy-efficient manufacturing system MANagement (ENERMAN)”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

Reference25 articles.

1. Playing atari with deep reinforcement learning;mnih;arXiv 1312 5602,2013

5. Policy gradient methods for reinforcement learning with function approximation;sutton;Proc NIPS,1999

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