Large Batch Simulation for Deep Reinforcement Learning

Autor: Shacklett, Brennan, Wijmans, Erik, Petrenko, Aleksei, Savva, Manolis, Batra, Dhruv, Koltun, Vladlen, Fatahalian, Kayvon

We accelerate deep reinforcement learning-based training in visually complex 3D environments by two orders of magnitude over prior work, realizing end-to-end training speeds of over 19,000 frames of experience per second on a single GPU and up to 72,

Externí odkaz: http://arxiv.org/abs/2103.07013

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Black-box modelling, bi-objective optimization and ASPEN batch simulation of phenolic compound extraction from Nauclea latifolia root

Autor: E.O. Oke, B.I. Okolo, O. Adeyi, O.O. Agbede, P.C. Nnaji, J.A. Adeyi, K.A. Osoh, C.J. Ude

Publikováno v: Heliyon, Vol 7, Iss 1, Pp e05856- (2021)

Nauclea latifolia root (NLR) extract is one of phytochemicals used to treat various ailments in most of developing countries. This investigation focuses on modelling, optimization and computer-aided simulation of phenolic solid-liquid extraction from

Externí odkaz: https://doaj.org/article/327a2ae68ceb469aae5e6098b9ca5230

Black-box modelling, bi-objective optimization and ASPEN batch simulation of phenolic compound extraction from Nauclea latifolia root.

Autor: Oke EO; Chemical Engineering Department, Michael Okpara University of Agriculture, Nigeria., Okolo BI; Chemical Engineering Department, Michael Okpara University of Agriculture, Nigeria., Adeyi O; Chemical Engineering Department, Michael Okpara University of Agriculture, Nigeria., Agbede OO; Chemical Engineering Department, Ladoke Akintola University of Technology, Nigeria., Nnaji PC; Chemical Engineering Department, Michael Okpara University of Agriculture, Nigeria., Adeyi JA; Mechanical Engineering Department, Ladoke Akintola University of Technology, Nigeria., Osoh KA; Department of Chemistry, Akwa Ibom State College of Science and Technology, Nigeria., Ude CJ; Chemical Engineering Department, Michael Okpara University of Agriculture, Nigeria.

Publikováno v: Heliyon [Heliyon] 2020 Dec 31; Vol. 7 (1), pp. e05856. Date of Electronic Publication: 2020 Dec 31 (Print Publication: 2021).