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Safe Exploration Method for Reinforcement Learning under Existence of
  Disturbance
v1v2 (latest)

Safe Exploration Method for Reinforcement Learning under Existence of Disturbance

30 September 2022
Y. Okawa
Tomotake Sasaki
H. Yanami
T. Namerikawa
ArXiv (abs)PDFHTML

Papers citing "Safe Exploration Method for Reinforcement Learning under Existence of Disturbance"

7 / 7 papers shown
Title
Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones
Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones
Brijen Thananjeyan
Ashwin Balakrishna
Suraj Nair
Michael Luo
K. Srinivasan
M. Hwang
Joseph E. Gonzalez
Julian Ibarz
Chelsea Finn
Ken Goldberg
OffRL
80
227
0
29 Oct 2020
Constrained Model-based Reinforcement Learning with Robust Cross-Entropy
  Method
Constrained Model-based Reinforcement Learning with Robust Cross-Entropy Method
Zuxin Liu
Hongyi Zhou
Baiming Chen
Sicheng Zhong
M. Hebert
Ding Zhao
66
11
0
15 Oct 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
352
1,687
0
02 Feb 2020
Lyapunov-based Safe Policy Optimization for Continuous Control
Lyapunov-based Safe Policy Optimization for Continuous Control
Yinlam Chow
Ofir Nachum
Aleksandra Faust
Edgar A. Duénez-Guzmán
Mohammad Ghavamzadeh
74
247
0
28 Jan 2019
Learning-based Model Predictive Control for Safe Exploration
Learning-based Model Predictive Control for Safe Exploration
Torsten Koller
Felix Berkenkamp
M. Turchetta
Andreas Krause
62
381
0
22 Mar 2018
Constrained Policy Optimization
Constrained Policy Optimization
Joshua Achiam
David Held
Aviv Tamar
Pieter Abbeel
123
1,328
0
30 May 2017
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
325
13,272
0
09 Sep 2015
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