Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization.
作者： J. Zico Kolter , Kyri Baker , Priya L. Donti , Mario Berges , Bingqing Chen
DOI:
关键词:
摘要: While reinforcement learning (RL) is gaining popularity in energy systems control, its real-world applications are limited due to the fact that the actions from learned policies may not …
acm.org
arxiv.org 参考文章(59)
Mohammadhosein Hasanbeig, Daniel Kroening, Alessandro Abate, Deep Reinforcement Learning with Temporal Logics formal modeling and analysis of timed systems. pp. 1- 22 ,(2020) , 10.1007/978-3-030-57628-8_1
Ján Drgoňa, Javier Arroyo, Iago Cupeiro Figueroa, David Blum, Krzysztof Arendt, Donghun Kim, Enric Perarnau Ollé, Juraj Oravec, Michael Wetter, Draguna L. Vrabie, Lieve Helsen, All you need to know about model predictive control for buildings Annual Reviews in Control. ,vol. 50, pp. 190- 232 ,(2020) , 10.1016/J.ARCONTROL.2020.09.001
Bingqing Chen, Jonathan Francis, Marco Pritoni, Soummya Kar, Mario Bergés, COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility international conference on systems. pp. 31- 40 ,(2020) , 10.1145/3408308.3427980
Naomi Stringer, Anna Bruce, Iain MacGill, Navid Haghdadi, Peter Kilby, Jacqui Mills, Taru Veijalainen, Matt Armitage, Nigel Wilmot, Consumer-Led Transition: Australia's World-Leading Distributed Energy Resource Integration Efforts IEEE Power & Energy Magazine. ,vol. 18, pp. 20- 36 ,(2020) , 10.1109/MPE.2020.3014720
Nathan Fulton, André Platzer, Verifiably Safe Off-Model Reinforcement Learning tools and algorithms for construction and analysis of systems. pp. 413- 430 ,(2019) , 10.1007/978-3-030-17462-0_28
Bingqing Chen, Ming Jin, Zhe Wang, Tianzhen Hong, Mario Bergés, Towards Off-policy Evaluation as a Prerequisite for Real-world Reinforcement Learning in Building Control Proceedings of the 1st International Workshop on Reinforcement Learning for Energy Management in Buildings & Cities. ,(2020) , 10.1145/3427773.3427871
Sarthak Gupta, Vassilis Kekatos, Ming Jin, Deep Learning for Reactive Power Control of Smart Inverters under Communication Constraints international conference on communications. pp. 1- 6 ,(2020) , 10.1109/SMARTGRIDCOMM47815.2020.9302970
Ahmed S. Zamzam, Kyri Baker, Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). pp. 1- 6 ,(2020) , 10.1109/SMARTGRIDCOMM47815.2020.9303008
Mahyar Fazlyab, J Zico Kolter, Priya L. Donti, Melrose Roderick, Enforcing robust control guarantees within neural network policies international conference on learning representations. ,(2021)
John Schulman, Philipp Moritz, Sergey Levine, Michael Jordan, Pieter Abbeel, None, High-Dimensional Continuous Control Using Generalized Advantage Estimation arXiv: Learning. ,(2015)