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Massively Parallel Methods for Deep Reinforcement Learning

, , , , , , , , , , , , , and . (2015)cite arxiv:1507.04296Comment: Presented at the Deep Learning Workshop, International Conference on Machine Learning, Lille, France, 2015.

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Requirements, drivers and analysis of wireless sensor network solutions for the Oil & Gas industry., , , , , and . ETFA, page 219-226. IEEE, (2007)Wireless communication in process control loop: Requirements analysis, industry practices and experimental evaluation., , , , , , , and . ETFA, page 1-8. IEEE, (2014)Guest Editorial Special Section on Industrial Communication Technologies and Systems., , and . IEEE Trans. Ind. Informatics, 14 (5): 2062-2065 (2018)ZigBee/ZigBee PRO Security Assessment Based on Compromised Cryptographic Keys., , , , , , and . 3PGCIC, page 465-470. IEEE Computer Society, (2010)Layered Software Challenge of Wireless Technology in the Oil & Gas Industry., , and . Australian Software Engineering Conference, page 37-46. IEEE Computer Society, (2008)Spectral Inference Networks: Unifying Spectral Methods With Deep Learning, , , , and . (2018)cite arxiv:1806.02215.Towards the development of a SIL compliant wireless hydrocarbon leakage detection system., , , , , , , and . ETFA, page 1-8. IEEE, (2013)Performance Evaluation of WirelessHART for Factory Automation., and . ETFA, page 1-9. IEEE, (2009)Using wireless sensor networks to enable increased oil recovery., , , and . ETFA, page 1039-1048. IEEE, (2008)Spectral Inference Networks: Unifying Deep and Spectral Learning., , , , and . ICLR (Poster), OpenReview.net, (2019)