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Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control

18 September 2021

Papers citing "Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control"

28 / 28 papers shown

Title
The Importance of Adaptive Decision-Making for Autonomous Long-Range Planetary Surface Mobility Olivier Lamarre Jonathan Kelly 79 1 0 31 Dec 2024
Formal Verification and Control with Conformal Prediction Lars Lindemann Yiqi Zhao Xinyi Yu George J. Pappas Jyotirmoy Deshmukh 697 17 0 31 Aug 2024
Reachability Analysis of Neural Network Control Systems Chi Zhang W. Ruan Peipei Xu 92 14 0 28 Jan 2023
Risk-Aware Motion Planning in Partially Known Environments Fernando S Barbosa Bruno Lacerda Paul Duckworth Jana Tumova Nick Hawes 131 26 0 23 Sep 2021
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 63 632 0 13 Aug 2021
STL Robustness Risk over Discrete-Time Stochastic Processes Lars Lindemann Nikolai Matni George J. Pappas 47 17 0 03 Apr 2021
Risk-Averse Learning by Temporal Difference Methods Ümit Emre Köse Andrzej Ruszczynski 54 24 0 02 Mar 2020
Learning for Safety-Critical Control with Control Barrier Functions Andrew J. Taylor Andrew W. Singletary Yisong Yue Aaron D. Ames 113 244 0 20 Dec 2019
Control of Mobile Robots Using Barrier Functions Under Temporal Logic Specifications Mohit Srinivasan Samuel Coogan 54 50 0 14 Aug 2019
ReachNN: Reachability Analysis of Neural-Network Controlled Systems Chao Huang Jiameng Fan Wenchao Li Xin Chen Qi Zhu 58 79 0 25 Jun 2019
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks Richard Cheng G. Orosz R. Murray J. W. Burdick 79 624 0 21 Mar 2019
A predictive safety filter for learning-based control of constrained nonlinear dynamical systems K. P. Wabersich Melanie Zeilinger AI4CE 87 159 0 13 Dec 2018
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress Saurabh Arora Prashant Doshi OffRL 93 612 0 18 Jun 2018
Stochastic Approximation for Risk-aware Markov Decision Processes Wenjie Huang W. Haskell 49 18 0 11 May 2018
How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics Anirudha Majumdar Marco Pavone 93 195 0 30 Oct 2017
DSOS and SDSOS Optimization: More Tractable Alternatives to Sum of Squares and Semidefinite Optimization Amir Ali Ahmadi Anirudha Majumdar 78 217 0 08 Jun 2017
Safe Model-based Reinforcement Learning with Stability Guarantees Felix Berkenkamp M. Turchetta Angela P. Schoellig Andreas Krause 191 853 0 23 May 2017
A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems J. F. Fisac Anayo K. Akametalu Melanie Zeilinger Shahab Kaynama J. Gillula Claire Tomlin 61 498 0 03 May 2017
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes M. Turchetta Felix Berkenkamp Andreas Krause 86 189 0 15 Jun 2016
Safe Controller Optimization for Quadrotors with Gaussian Processes Felix Berkenkamp Angela P. Schoellig Andreas Krause 81 301 0 03 Sep 2015
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 130 323 0 06 Jun 2015
Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations Peyman Mohajerin Esfahani Daniel Kuhn 102 1,669 0 19 May 2015
Safe Exploration of State and Action Spaces in Reinforcement Learning Javier García Fernando Fernández 89 164 0 04 Feb 2014
Risk-sensitive Reinforcement Learning Yun Shen Michael J. Tobia T. Sommer Klaus Obermayer 96 320 0 08 Nov 2013
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 152 311 0 22 May 2012
Risk-sensitive Markov control processes Yun Shen W. Stannat Klaus Obermayer 78 90 0 28 Oct 2011
Risk-Sensitive Reinforcement Learning Applied to Control under Constraints Peter Geibel F. Wysotzki 84 319 0 09 Sep 2011
Provably Safe and Robust Learning-Based Model Predictive Control A. Aswani Humberto González S. Shankar Sastry Claire Tomlin 109 526 0 13 Jul 2011