GoSafeOpt: Scalable Safe Exploration for Global Optimization of
Dynamical Systems

GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems

24 January 2022

Sebastian Trimpe

Dominik Baumann

Papers citing "GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems"

8 / 8 papers shown

Title
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning Lukas Brunke Melissa Greeff Adam W. Hall Zhaocong Yuan Siqi Zhou Jacopo Panerati Angela P. Schoellig OffRL 48 610 0 13 Aug 2021
GoSafe: Globally Optimal Safe Robot Learning Dominik Baumann A. Marco M. Turchetta Sebastian Trimpe 29 37 0 27 May 2021
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression Christian Fiedler C. Scherer Sebastian Trimpe GP 39 67 0 06 May 2021
Learning to be Safe: Deep RL with a Safety Critic K. Srinivasan Benjamin Eysenbach Sehoon Ha Jie Tan Chelsea Finn OffRL 58 143 0 27 Oct 2020
Robot Learning with Crash Constraints A. Marco Dominik Baumann Majid Khadiv Philipp Hennig Ludovic Righetti Sebastian Trimpe 33 28 0 16 Oct 2020
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 91 1,313 0 30 May 2017
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 193 13,174 0 09 Sep 2015
Bayesian Optimization with Unknown Constraints M. Gelbart Jasper Snoek Ryan P. Adams 60 447 0 22 Mar 2014