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Autonomous systems like aircraft and assistive robots often operate in scenarios where guaranteeing safety is critical.
“Local adaptive mesh refinement for shock hydrodynamics”
Marsha Berger and Phillip Colella · 1989
Earlier work this paper cites.
“The parti-game algorithm for variable resolution reinforcement learning in multidimensional state-spaces”
Andrew Moore and Christopher Atkeson · 1995
Earlier work this paper cites.
“PARAMESH: A parallel adaptive mesh refinement community toolkit”
Peter MacNeice et al · 2000
Earlier work this paper cites.
“Gaussian processes in machine learning”
Carl Rasmussen · 2003
Earlier work this paper cites.
“ROS: an Open-Source Robot Operating System”
Morgan Quigley et al · 2009
Earlier work this paper cites.
“On-board Model Predictive Control of a Quadrotor Helicopter: Design, Implementation, and Experiments”, 2012
Patrick Bouffard · 2012
Earlier work this paper cites.
“Provably safe and robust learning-based model predictive control”
Anil Aswani, Humberto Gonzalez, S Sastry and Claire Tomlin · 2013
Earlier work this paper cites.
“Reachability-based safe learning with Gaussian processes”
Anayo Akametalu et al · 2014
Earlier work this paper cites.
“Temporal-difference learning for online reachability analysis”
Anayo Akametalu and Claire Tomlin · 2015
Earlier work this paper cites.
“Reach-avoid problems with time-varying dynamics, targets and constraints”
Jaime Fisac, Mo Chen, Claire Tomlin and S Sastry · 2015
Earlier work this paper cites.
“Exact and efficient Hamilton-Jacobi-based guaranteed safety analysis via system decomposition”
Mo Chen, Sylvia Herbert and Claire Tomlin · 2016
Earlier work this paper cites.
“Constrained policy optimization”
Joshua Achiam, David Held, Aviv Tamar and Pieter Abbeel · 2017
Earlier work this paper cites.
“Uncertainty-aware reinforcement learning for collision avoidance”
Gregory Kahn et al · 2017
Cited alongside, same era.
“Hamilton-Jacobi reachability: A brief overview and recent advances”
Somil Bansal, Mo Chen, Sylvia Herbert and Claire Tomlin · 2017
Cited alongside, same era.
“Safe model-based reinforcement learning with stability guarantees”
Felix Berkenkamp, Matteo Turchetta, Angela Schoellig and Andreas Krause · 2017
Cited alongside, same era.
“Learning model predictive control for iterative tasks. a data-driven control framework”
Ugo Rosolia and Francesco Borrelli · 2017
Cited alongside, same era.
“Crazyflie 2.0 quadrotor as a platform for research and education in robotics and control engineering”
Wojciech Giernacki et al · 2017
Cited alongside, same era.
“An efficient reachability-based framework for provably safe autonomous navigation in unknown environments”
Andrea Bajcsy et al · 2019
Later among the works it cites.
“Learning stable deep dynamics models”
J Kolter and Gaurav Manek · 2019
Later among the works it cites.
“A general safety framework for learning-based control in uncertain robotic systems”
J.. Fisac et al · 2019
Later among the works it cites.
“End-to-end safe reinforcement learning through barrier functions for safety-critical continuous control tasks”
Richard Cheng, Gábor Orosz, Richard Murray and Joel Burdick · 2019
Later among the works it cites.
“Safely learning to control the constrained linear quadratic regulator”
Sarah Dean, Stephen Tu, Nikolai Matni and Benjamin Recht · 2019
Later among the works it cites.
“Reachability-based safety guarantees using efficient initializations”
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Spencer Richards, Felix Berkenkamp and Andreas Krause · 2018
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“Decomposition of reachable sets and tubes for a class of nonlinear systems”
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Cited alongside, same era.
“A minimum discounted reward hamilton-jacobi formulation for computing reachable sets”
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Cited alongside, same era.
“Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor” 80
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Cited alongside, same era.
“Control barrier functions: theory and applications”
A.. Ames et al · 2019
Cited alongside, same era.
“Crazyflie Packages”
David Fridovich-Keil
Cited in the paper.
Sylvia Herbert, Somil Bansal, Shromona Ghosh and Claire Tomlin · 2019
Later among the works it cites.
“Excursion search for constrained bayesian optimization under a limited budget of failures”
Alonso Marco et al · 2020
Later among the works it cites.
“Safe learning-based trajectory tracking for underactuated vehicles with partially unknown dynamics”
Thomas Beckers, Leonardo Colombo and Sandra Hirche · 2020
Later among the works it cites.
“Reinforcement learning for safety-critical control under model uncertainty, using control lyapunov functions and control barrier functions”
Jason Choi, Fernando Castañeda, Claire Tomlin and Koushil Sreenath · 2020
Later among the works it cites.
Subin Huh and Insoon Yang · 2020
Later among the works it cites.
Wei Du, Fahad Islam and Maxim Likhachev · 2020
Later among the works it cites.