Nathan P. Lawrence

29 papers A* 1A 1C 1Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Stability-constrained policy optimization under unknown rewards. IFAC J. Syst. Control. Thomas Banker, Nathan P. Lawrence, Ali Mesbah
2025	J	`jnl`	A view on learning robust goal-conditioned value functions: Interplay between RL and MPC. Annu. Rev. Control. Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni, Ali Mesbah
2025	J	`jnl`	A view on learning robust goal-conditioned value functions: Interplay between RL and MPC. CoRR Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni, Ali Mesbah
2025	J	`jnl`	ARMOR: Robust Reinforcement Learning-based Control for UAVs under Physical Attacks. CoRR Pritam Dash, Ethan Chan, Nathan P. Lawrence, Karthik Pattabiraman
2025	C	`conf`	Local-Global Learning of Interpretable Control Policies: The Interface between MPC and Reinforcement Learning. ACC Thomas Banker, Nathan P. Lawrence, Ali Mesbah
2025	J	`jnl`	Local-Global Learning of Interpretable Control Policies: The Interface between MPC and Reinforcement Learning. CoRR Thomas Banker, Nathan P. Lawrence, Ali Mesbah
2025	—	`conf`	MPCritic: A Plug-and-Play MPC Architecture for Reinforcement Learning. CDC Nathan P. Lawrence, Thomas Banker, Ali Mesbah
2025	J	`jnl`	MPCritic: A plug-and-play MPC architecture for reinforcement learning. CoRR Nathan P. Lawrence, Thomas Banker, Ali Mesbah
2025	J	`jnl`	Why Goal-Conditioned Reinforcement Learning Works: Relation to Dual Control. CoRR Nathan P. Lawrence, Ali Mesbah
2024	—	`conf`	Deep Hankel matrices with random elements. L4DC Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
2024	J	`jnl`	Deep Hankel matrices with random elements. CoRR Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
2024	A	`conf`	Guiding Reinforcement Learning with Incomplete System Dynamics. IROS Shuyuan Wang, Jingliang Duan, Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni, Lixian Zhang
2024	J	`jnl`	Guiding Reinforcement Learning with Incomplete System Dynamics. CoRR Shuyuan Wang, Jingliang Duan, Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni, Lixian Zhang
2024	J	`jnl`	Machine learning for industrial sensing and control: A survey and practical perspective. CoRR Nathan P. Lawrence, Seshu Kumar Damarla, Jong Woo Kim, Aditya Tulsyan, Faraz Amjad, Kai Wang, Benoît Chachuat, Jong Min Lee, Biao Huang, R. Bhushan Gopaluni
2024	J	`jnl`	Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior. Autom. Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
2023	J	`jnl`	A modular framework for stabilizing deep reinforcement learning control. CoRR Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
2023	J	`jnl`	Automated deep reinforcement learning for real-time scheduling strategy of multi-energy system integrated with post-carbon and direct-air carbon captured system. CoRR Tobi Michael Alabi, Nathan P. Lawrence, Lin Lu, Zaiyue Yang, R. Bhushan Gopaluni
2023	J	`jnl`	Reinforcement Learning with Partial Parametric Model Knowledge. CoRR Shuyuan Wang, Philip D. Loewen, Nathan P. Lawrence, Michael G. Forbes, R. Bhushan Gopaluni
2023	J	`jnl`	Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior. CoRR Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
2022	J	`jnl`	Meta Reinforcement Learning for Adaptive Control: An Offline Approach. CoRR Daniel G. McClement, Nathan P. Lawrence, Johan U. Backström, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni
2022	J	`jnl`	Meta-Reinforcement Learning for Adaptive Control of Second Order Systems. CoRR Daniel G. McClement, Nathan P. Lawrence, Michael G. Forbes, Philip D. Loewen, Johan U. Backström, R. Bhushan Gopaluni
2022	J	`jnl`	Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey. CoRR R. Bhushan Gopaluni, Aditya Tulsyan, Benoît Chachuat, Biao Huang, Jong Min Lee, Faraz Amjad, Seshu Kumar Damarla, Jong Woo Kim, Nathan P. Lawrence
2021	J	`jnl`	A Meta-Reinforcement Learning Approach to Process Control. CoRR Daniel G. McClement, Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
2021	J	`jnl`	Almost Surely Stable Deep Dynamics. CoRR Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
2021	J	`jnl`	Deep Reinforcement Learning with Shallow Controllers: An Experimental Application to PID Tuning. CoRR Nathan P. Lawrence, Michael G. Forbes, Philip D. Loewen, Daniel G. McClement, Johan U. Backström, R. Bhushan Gopaluni
2020	A*	`conf`	Almost Surely Stable Deep Dynamics. NeurIPS Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
2020	J	`jnl`	Deep Reinforcement Learning for Process Control: A Primer for Beginners. CoRR Steven Spielberg, Aditya Tulsyan, Nathan P. Lawrence, Philip D. Loewen, R. Bhushan Gopaluni
2020	J	`jnl`	Optimal PID and Antiwindup Control Design as a Reinforcement Learning Problem. CoRR Nathan P. Lawrence, Gregory E. Stewart, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
2020	J	`jnl`	Reinforcement Learning based Design of Linear Fixed Structure Controllers. CoRR Nathan P. Lawrence, Gregory E. Stewart, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni