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"

28 / 28 papers shown

Title
Enforcing robust control guarantees within neural network policies P. Donti Melrose Roderick Mahyar Fazlyab J. Zico Kolter OOD 50 62 0 16 Nov 2020
Projection-Based Constrained Policy Optimization Tsung-Yen Yang Justinian P. Rosca Karthik Narasimhan Peter J. Ramadge 20 238 0 07 Oct 2020
Verifiably Safe Exploration for End-to-End Reinforcement Learning Nathan Hunt Nathan Fulton Sara Magliacane Nghia Hoang Subhro Das Armando Solar-Lezama OffRL 44 50 0 02 Jul 2020
High-Fidelity Machine Learning Approximations of Large-Scale Optimal Power Flow Minas Chatzos Ferdinando Fioretto Terrence W.K. Mak Pascal Van Hentenryck AI4CE 27 28 0 29 Jun 2020
Neural Lyapunov Control Ya-Chien Chang Nima Roohi Sicun Gao 47 301 0 01 May 2020
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning Sanket Shah Arunesh Sinha Pradeep Varakantham Andrew Perrault Milind Tambe 22 12 0 20 Nov 2019
$$H_\infty$ Model-free Reinforcement Learning with Robust Stability Guarantee$ $H_\infty$ Model-free Reinforcement Learning with Robust Stability Guarantee Minghao Han Yuan Tian Lixian Zhang Jun Wang Wei Pan 25 26 0 07 Nov 2019
Differentiable Convex Optimization Layers Akshay Agrawal Brandon Amos Shane T. Barratt Stephen P. Boyd Steven Diamond Zico Kolter 81 646 0 28 Oct 2019
$Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence$ Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence Kai Zhang Bin Hu Tamer Basar 43 119 0 21 Oct 2019
Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow Ahmed S. Zamzam K. Baker 24 170 0 27 Sep 2019
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods Ferdinando Fioretto Terrence W.K. Mak Pascal Van Hentenryck AI4CE 109 201 0 19 Sep 2019
Deep Declarative Networks: A New Hope Stephen Gould Leonid Sigal Dylan Campbell AI4CE 50 101 0 11 Sep 2019
Deep Equilibrium Models Shaojie Bai J. Zico Kolter V. Koltun 67 663 0 03 Sep 2019
Tackling Climate Change with Machine Learning David Rolnick P. Donti L. Kaack K. Kochanski Alexandre Lacoste ... Demis Hassabis John C. Platt F. Creutzig J. Chayes Yoshua Bengio AI4Cl AI4CE 57 796 0 10 Jun 2019
Hamiltonian Neural Networks S. Greydanus Misko Dzamba J. Yosinski PINN AI4CE 69 876 0 04 Jun 2019
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver Po-Wei Wang P. Donti Bryan Wilder Zico Kolter LRM NAI 63 262 0 29 May 2019
Verifiably Safe Off-Model Reinforcement Learning Nathan Fulton André Platzer OffRL 31 67 0 14 Feb 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 244 5,024 0 19 Jun 2018
What game are we playing? End-to-end learning in normal and extensive form games Chun Kai Ling Fei Fang J. Zico Kolter 68 84 0 07 May 2018
Differentiable Submodular Maximization Sebastian Tschiatschek Aytunc Sahin Andreas Krause 45 45 0 05 Mar 2018
OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World Tu-Hoa Pham Giovanni De Magistris Ryuki Tachibana OffRL 27 141 0 22 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 245 18,685 0 20 Jul 2017
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 99 1,313 0 30 May 2017
Safe Model-based Reinforcement Learning with Stability Guarantees Felix Berkenkamp M. Turchetta Angela P. Schoellig Andreas Krause 133 845 0 23 May 2017
Robust Adversarial Reinforcement Learning Lerrel Pinto James Davidson Rahul Sukthankar Abhinav Gupta OOD 81 848 0 08 Mar 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos J. Zico Kolter 141 952 0 01 Mar 2017
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes M. Turchetta Felix Berkenkamp Andreas Krause 61 186 0 15 Jun 2016
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 45 3,368 0 08 Jun 2015