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GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model
v1v2 (latest)

GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model

6 June 2024
Zhehua Zhou
Xuan Xie
Yuheng Huang
Zhan Shu
Lei Ma
ArXiv (abs)PDFHTML

Papers citing "GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model"

39 / 39 papers shown
Title
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal
  Policy Optimization Algorithm
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm
Ashish Kumar Jayant
S. Bhatnagar
OffRL
100
51
0
14 Oct 2022
A Review of Safe Reinforcement Learning: Methods, Theory and
  Applications
A Review of Safe Reinforcement Learning: Methods, Theory and Applications
Shangding Gu
Longyu Yang
Yali Du
Guang Chen
Florian Walter
Jun Wang
Alois C. Knoll
OffRLAI4TS
395
281
0
20 May 2022
Exploration in Deep Reinforcement Learning: A Survey
Exploration in Deep Reinforcement Learning: A Survey
Pawel Ladosz
Lilian Weng
Minwoo Kim
H. Oh
OffRL
172
426
0
02 May 2022
Safe Reinforcement Learning by Imagining the Near Future
Safe Reinforcement Learning by Imagining the Near Future
G. Thomas
Yuping Luo
Tengyu Ma
OffRL
108
95
0
15 Feb 2022
Constrained Policy Optimization via Bayesian World Models
Constrained Policy Optimization via Bayesian World Models
Yarden As
Ilnura N. Usmanova
Sebastian Curi
Andreas Krause
OffRL
170
60
0
24 Jan 2022
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement
  Learning
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning
Yecheng Jason Ma
Andrew Shen
Osbert Bastani
Dinesh Jayaraman
77
26
0
14 Dec 2021
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
149
712
0
13 Aug 2021
Deep Reinforcement Learning for the Control of Robotic Manipulation: A
  Focussed Mini-Review
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review
Rongrong Liu
F. Nageotte
P. Zanne
M. de Mathelin
Birgitta Dresp
126
168
0
08 Feb 2021
Learning for MPC with Stability & Safety Guarantees
Learning for MPC with Stability & Safety Guarantees
S. Gros
Mario Zanon
171
42
0
14 Dec 2020
CRPO: A New Approach for Safe Reinforcement Learning with Convergence
  Guarantee
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee
Tengyu Xu
Yingbin Liang
Guanghui Lan
207
136
0
11 Nov 2020
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
138
252
0
29 Oct 2020
Learning a Low-dimensional Representation of a Safe Region for Safe
  Reinforcement Learning on Dynamical Systems
Learning a Low-dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems
Zhehua Zhou
Ozgur S. Oguz
M. Leibold
M. Buss
130
16
0
19 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
122
11
0
15 Oct 2020
Projection-Based Constrained Policy Optimization
Projection-Based Constrained Policy Optimization
Tsung-Yen Yang
Justinian P. Rosca
Karthik Narasimhan
Peter J. Ramadge
114
260
0
07 Oct 2020
Learning Off-Policy with Online Planning
Learning Off-Policy with Online PlanningConference on Robot Learning (CoRL), 2025
Harshit S. Sikchi
Wenxuan Zhou
David Held
OffRL
286
53
0
23 Aug 2020
Safe Reinforcement Learning in Constrained Markov Decision Processes
Safe Reinforcement Learning in Constrained Markov Decision Processes
Akifumi Wachi
Yanan Sui
94
162
0
15 Aug 2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Adam Stooke
Joshua Achiam
Pieter Abbeel
175
320
0
08 Jul 2020
SAMBA: Safe Model-Based & Active Reinforcement Learning
SAMBA: Safe Model-Based & Active Reinforcement Learning
Alexander I. Cowen-Rivers
Daniel Palenicek
Vincent Moens
Mohammed Abdullah
Aivar Sootla
Jun Wang
Haitham Bou-Ammar
99
45
0
12 Jun 2020
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization
Dongsheng Ding
Xiaohan Wei
Zhuoran Yang
Zhaoran Wang
M. Jovanović
163
172
0
01 Mar 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
463
1,863
0
02 Feb 2020
Safe Policies for Reinforcement Learning via Primal-Dual Methods
Safe Policies for Reinforcement Learning via Primal-Dual Methods
Santiago Paternain
Miguel Calvo-Fullana
Luiz F. O. Chamon
Alejandro Ribeiro
174
108
0
20 Nov 2019
Convergent Policy Optimization for Safe Reinforcement Learning
Convergent Policy Optimization for Safe Reinforcement Learning
Ming Yu
Zhuoran Yang
Mladen Kolar
Zhaoran Wang
135
99
0
26 Oct 2019
IPO: Interior-point Policy Optimization under Constraints
IPO: Interior-point Policy Optimization under Constraints
Yongshuai Liu
J. Ding
Xin Liu
161
200
0
21 Oct 2019
Optimal Reduced-order Modeling of Bipedal Locomotion
Optimal Reduced-order Modeling of Bipedal Locomotion
Yu-Ming Chen
Michael Posa
71
33
0
23 Sep 2019
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
184
262
0
28 Jan 2019
Safe Reinforcement Learning with Model Uncertainty Estimates
Safe Reinforcement Learning with Model Uncertainty Estimates
Björn Lütjens
Michael Everett
Jonathan P. How
172
176
0
19 Oct 2018
Reward Constrained Policy Optimization
Reward Constrained Policy Optimization
Chen Tessler
D. Mankowitz
Shie Mannor
203
570
0
28 May 2018
A Lyapunov-based Approach to Safe Reinforcement Learning
A Lyapunov-based Approach to Safe Reinforcement Learning
Yinlam Chow
Ofir Nachum
Edgar A. Duénez-Guzmán
Mohammad Ghavamzadeh
207
544
0
20 May 2018
Accelerated Primal-Dual Policy Optimization for Safe Reinforcement
  Learning
Accelerated Primal-Dual Policy Optimization for Safe Reinforcement Learning
Qingkai Liang
Fanyu Que
E. Modiano
122
110
0
19 Feb 2018
Safe Exploration in Continuous Action Spaces
Safe Exploration in Continuous Action Spaces
Gal Dalal
Krishnamurthy Dvijotham
Matej Vecerík
Todd Hester
Cosmin Paduraru
Yuval Tassa
109
460
0
26 Jan 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
931
21,533
0
20 Jul 2017
Constrained Policy Optimization
Constrained Policy Optimization
Joshua Achiam
David Held
Aviv Tamar
Pieter Abbeel
278
1,436
0
30 May 2017
Safe Model-based Reinforcement Learning with Stability Guarantees
Safe Model-based Reinforcement Learning with Stability Guarantees
Felix Berkenkamp
M. Turchetta
Angela P. Schoellig
Andreas Krause
387
894
0
23 May 2017
A General Safety Framework for Learning-Based Control in Uncertain
  Robotic Systems
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
204
516
0
03 May 2017
Benchmarking Deep Reinforcement Learning for Continuous Control
Benchmarking Deep Reinforcement Learning for Continuous Control
Yan Duan
Xi Chen
Rein Houthooft
John Schulman
Pieter Abbeel
OffRL
324
1,719
0
22 Apr 2016
High-Dimensional Continuous Control Using Generalized Advantage
  Estimation
High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman
Philipp Moritz
Sergey Levine
Michael I. Jordan
Pieter Abbeel
OffRL
416
3,704
0
08 Jun 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
566
7,105
0
19 Feb 2015
Algorithms for CVaR Optimization in MDPs
Algorithms for CVaR Optimization in MDPs
Yinlam Chow
Mohammad Ghavamzadeh
200
211
0
12 Jun 2014
Provably Safe and Robust Learning-Based Model Predictive Control
Provably Safe and Robust Learning-Based Model Predictive Control
A. Aswani
Humberto González
S. Shankar Sastry
Claire Tomlin
240
536
0
13 Jul 2011
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