Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization

19 May 2021

Bingqing Chen

J. Zico Kolter

Papers citing "Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization"

23 / 23 papers shown

Title
Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs Wei-Ting Hung Shao-Hua Sun Ping-Chun Hsieh 78 0 0 17 Mar 2025
Control Policy Correction Framework for Reinforcement Learning-based Energy Arbitrage Strategies Seyed soroush Karimi madahi Gargya Gokhale Marie-Sophie Verwee Bert Claessens Chris Develder 73 4 0 29 Apr 2024
Application-Driven Innovation in Machine Learning David Rolnick Alán Aspuru-Guzik Sara Beery B. Dilkina P. Donti ... Hannah Kerner C. Monteleoni Esther Rolf Milind Tambe Adam White 74 10 0 26 Mar 2024
Softened Symbol Grounding for Neuro-symbolic Systems Zenan Li Yuan Yao Taolue Chen Jingwei Xu Chun Cao Xiaoxing Ma Jian Lu NAI 65 14 0 01 Mar 2024
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-aware End-to-end Learning Wangkun Xu Jianhong Wang Fei Teng 46 4 0 17 Dec 2023
Two-Stage Predict+Optimize for Mixed Integer Linear Programs with Unknown Parameters in Constraints Xinyi Hu Jasper C. H. Lee Jimmy Ho-man Lee 84 2 0 14 Nov 2023
Anytime-Competitive Reinforcement Learning with Policy Prior Jianyi Yang Pengfei Li Tongxin Li Adam Wierman Shaolei Ren 94 3 0 02 Nov 2023
DFWLayer: Differentiable Frank-Wolfe Optimization Layer Zixuan Liu Liu Liu Xueqian Wang P. Zhao AI4CE 101 0 0 21 Aug 2023
You Shall Pass: Dealing with the Zero-Gradient Problem in Predict and Optimize for Convex Optimization Grigorii Veviurko Wendelin Bohmer Mathijs de Weerdt 75 2 0 30 Jul 2023
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty Utsav Sadana A. Chenreddy Erick Delage Alexandre Forel Emma Frejinger Thibaut Vidal AI4CE 112 94 0 17 Jun 2023
Multi-market Energy Optimization with Renewables via Reinforcement Learning Lucien Werner Peeyush Kumar 28 5 0 13 Jun 2023
Self-supervised Equality Embedded Deep Lagrange Dual for Approximate Constrained Optimization Minsoo Kim Hongseok Kim 49 4 0 11 Jun 2023
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints Kazumi Kasaura Shuwa Miura Tadashi Kozuno Ryo Yonetani Kenta Hoshino Y. Hosoe 75 14 0 18 Apr 2023
Learning to Solve Integer Linear Programs with Davis-Yin Splitting Daniel McKenzie Samy Wu Fung Howard Heaton 89 4 0 31 Jan 2023
Efficient Reinforcement Learning Through Trajectory Generation Wenqi Cui Linbin Huang Weiwei Yang Baosen Zhang OffRL 77 0 0 30 Nov 2022
Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules L. D. Natale B. Svetozarevic Philipp Heer Colin N. Jones 64 0 0 30 Nov 2022
Self-Supervised Primal-Dual Learning for Constrained Optimization Seonho Park Pascal Van Hentenryck 76 51 0 18 Aug 2022
Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control L. D. Natale B. Svetozarevic Philipp Heer Colin N. Jones OffRL AI4CE 66 6 0 10 Mar 2022
Conditional Synthetic Data Generation for Personal Thermal Comfort Models Hari Prasanna Das C. Spanos SyDa AI4CE 69 2 0 10 Mar 2022
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data Hari Prasanna Das Ryan Tran Japjot Singh Xiangyu Yue G. Tison Alberto L. Sangiovanni-Vincentelli C. Spanos OOD MedIm 120 53 0 14 Sep 2021
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training Hari Prasanna Das Ryan Tran Japjot Singh Yu-Wen Lin C. Spanos OOD 53 11 0 25 Aug 2021
Safe Pontryagin Differentiable Programming Wanxin Jin Shaoshuai Mou George J. Pappas 90 41 0 31 May 2021
Likelihood Contribution based Multi-scale Architecture for Generative Flows Hari Prasanna Das Pieter Abbeel C. Spanos DRL AI4CE 59 5 0 05 Aug 2019