Nathan P. Lawrence

Toward self‐driving processes: A deep reinforcement learning approach to control

Steven Spielberg, Aditya Tulsyan, Nathan P. Lawrence et al. · AIChE Journal · 2019 · 143 citations · Full text

Deep reinforcement learning with shallow controllers: An experimental application to PID tuning

Nathan P. Lawrence, Michael G. Forbes, Philip D. Loewen et al. · Control Engineering Practice · 2022 · 103 citations · Full text

Artificial Intelligence, Experimental Application, Engineering +9

Machine learning for industrial sensing and control: A survey and practical perspective

Nathan P. Lawrence, Seshu Kumar Damarla, Jong Woo Kim et al. · Control Engineering Practice · 2024 · 50 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +20

Automated deep reinforcement learning for real-time scheduling strategy of multi-energy system integrated with post-carbon and direct-air carbon captured system

Tobi Michael Alabi, Nathan P. Lawrence, Lin Lu et al. · Applied Energy · 2023 · 48 citations · Full text

Engineering, Deep Reinforcement, Deep Reinforcement Learning +11

Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey

R. Bhushan Gopaluni, Aditya Tulsyan, Benoît Chachuat et al. · IFAC-PapersOnLine · 2020 · 44 citations · Full text