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Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning

21 July 2022

Papers citing "Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning"

20 / 20 papers shown

Title
Embedding Safety into RL: A New Take on Trust Region Methods Nikola Milosevic Johannes Müller Nico Scherf 114 2 0 05 Nov 2024
High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces David Eriksson M. Jankowiak 94 146 0 27 Feb 2021
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 125 873 0 05 Oct 2020
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks Mahyar Fazlyab Alexander Robey Hamed Hassani M. Morari George J. Pappas 109 461 0 12 Jun 2019
Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces Johannes Kirschner Mojmír Mutný N. Hiller R. Ischebeck Andreas Krause 92 149 0 08 Feb 2019
A predictive safety filter for learning-based control of constrained nonlinear dynamical systems K. P. Wabersich Melanie Zeilinger AI4CE 94 159 0 13 Dec 2018
Zeroth-order Nonconvex Stochastic Optimization: Handling Constraints, High-Dimensionality and Saddle-Points Krishnakumar Balasubramanian Saeed Ghadimi ODL 64 101 0 17 Sep 2018
A Tutorial on Bayesian Optimization P. Frazier GP 113 1,797 0 08 Jul 2018
Learning-based Model Predictive Control for Safe Exploration Torsten Koller Felix Berkenkamp M. Turchetta Andreas Krause 62 382 0 22 Mar 2018
Safe Exploration in Continuous Action Spaces Gal Dalal Krishnamurthy Dvijotham Matej Vecerík Todd Hester Cosmin Paduraru Yuval Tassa 53 443 0 26 Jan 2018
Highly-Smooth Zero-th Order Online Optimization Vianney Perchet Francis R. Bach Vianney Perchet 154 86 0 26 May 2016
Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics Felix Berkenkamp Andreas Krause Angela P. Schoellig 150 285 0 14 Feb 2016
Variance-Reduced and Projection-Free Stochastic Optimization Elad Hazan Haipeng Luo 64 166 0 05 Feb 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 307 5,536 0 23 Nov 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 330 13,289 0 09 Sep 2015
Safe Controller Optimization for Quadrotors with Gaussian Processes Felix Berkenkamp Angela P. Schoellig Andreas Krause 81 301 0 03 Sep 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 135 3,439 0 08 Jun 2015
Optimal rates for zero-order convex optimization: the power of two function evaluations John C. Duchi Michael I. Jordan Martin J. Wainwright Andre Wibisono 95 489 0 07 Dec 2013
On the Complexity of Bandit and Derivative-Free Stochastic Convex Optimization Ohad Shamir 424 193 0 11 Sep 2012
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design Niranjan Srinivas Andreas Krause Sham Kakade Matthias Seeger 177 1,625 0 21 Dec 2009