Web: http://arxiv.org/abs/2206.08851

June 20, 2022, 1:11 a.m. | Mohan Zhang, Xiaozhou Wang, Benjamin Decardi-Nelson, Bo Song, An Zhang, Jinfeng Liu, Sile Tao, Jiayi Cheng, Xiaohong Liu, DengDeng Yu, Matthew Poon, A

cs.LG updates on arXiv.org arxiv.org

Traditional biological and pharmaceutical manufacturing plants are controlled
by human workers or pre-defined thresholds. Modernized factories have advanced
process control algorithms such as model predictive control (MPC). However,
there is little exploration of applying deep reinforcement learning to control
manufacturing plants. One of the reasons is the lack of high fidelity
simulations and standard APIs for benchmarking. To bridge this gap, we develop
an easy-to-use library that includes five high-fidelity simulation
environments: BeerFMTEnv, ReactorEnv, AtropineEnv, PenSimEnv and mAbEnv, which
cover …

arxiv industrial learning lg manufacturing process

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