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Searching for Optimal Runtime Assurance via Reachability and
  Reinforcement Learning

Searching for Optimal Runtime Assurance via Reachability and Reinforcement Learning

6 October 2023
Kristina Miller
Christopher K. Zeitler
William Shen
Kerianne L. Hobbs
Sayan Mitra
John Schierman
Mahesh Viswanathan
ArXiv (abs)PDFHTML

Papers citing "Searching for Optimal Runtime Assurance via Reachability and Reinforcement Learning"

6 / 6 papers shown
Title
Safe Learning in Robotics: From Learning-Based Control to Safe
  Reinforcement Learning
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
629
0
13 Aug 2021
Formal Controller Synthesis for Continuous-Space MDPs via Model-Free
  Reinforcement Learning
Formal Controller Synthesis for Continuous-Space MDPs via Model-Free Reinforcement Learning
Abolfazl Lavaei
Fabio Somenzi
Sadegh Soudjani
Ashutosh Trivedi
Majid Zamani
118
53
0
02 Mar 2020
Control Synthesis from Linear Temporal Logic Specifications using
  Model-Free Reinforcement Learning
Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning
A. Bozkurt
Yu Wang
Michael M. Zavlanos
Miroslav Pajic
59
126
0
16 Sep 2019
Reinforcement Learning for Temporal Logic Control Synthesis with
  Probabilistic Satisfaction Guarantees
Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees
Mohammadhosein Hasanbeig
Y. Kantaros
Alessandro Abate
Daniel Kroening
George J. Pappas
Insup Lee
AI4CE
121
152
0
11 Sep 2019
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
538
19,265
0
20 Jul 2017
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRLODL
223
5,086
0
05 Jun 2016
1