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Safe Reinforcement Learning Using Advantage-Based Intervention

Safe Reinforcement Learning Using Advantage-Based Intervention

16 June 2021
Nolan Wagener
Byron Boots
Ching-An Cheng
ArXivPDFHTML

Papers citing "Safe Reinforcement Learning Using Advantage-Based Intervention"

28 / 28 papers shown
Title
Heuristic-Guided Reinforcement Learning
Heuristic-Guided Reinforcement Learning
Ching-An Cheng
Andrey Kolobov
Adith Swaminathan
OffRL
42
61
0
05 Jun 2021
Blending MPC & Value Function Approximation for Efficient Reinforcement
  Learning
Blending MPC & Value Function Approximation for Efficient Reinforcement Learning
M. Bhardwaj
Sanjiban Choudhury
Byron Boots
31
30
0
10 Dec 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
24
221
0
29 Oct 2020
Learning to be Safe: Deep RL with a Safety Critic
Learning to be Safe: Deep RL with a Safety Critic
K. Srinivasan
Benjamin Eysenbach
Sehoon Ha
Jie Tan
Chelsea Finn
OffRL
49
143
0
27 Oct 2020
Conservative Safety Critics for Exploration
Conservative Safety Critics for Exploration
Homanga Bharadhwaj
Aviral Kumar
Nicholas Rhinehart
Sergey Levine
Florian Shkurti
Animesh Garg
OffRL
65
138
0
27 Oct 2020
Safe Reinforcement Learning via Curriculum Induction
Safe Reinforcement Learning via Curriculum Induction
M. Turchetta
Andrey Kolobov
S. Shah
Andreas Krause
Alekh Agarwal
23
91
0
22 Jun 2020
Exploration-Exploitation in Constrained MDPs
Exploration-Exploitation in Constrained MDPs
Yonathan Efroni
Shie Mannor
Matteo Pirotta
79
176
0
04 Mar 2020
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with
  Adversarial Loss
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss
Shuang Qiu
Xiaohan Wei
Zhuoran Yang
Jieping Ye
Zhaoran Wang
115
49
0
02 Mar 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
56
162
0
01 Mar 2020
Robust Model Predictive Shielding for Safe Reinforcement Learning with
  Stochastic Dynamics
Robust Model Predictive Shielding for Safe Reinforcement Learning with Stochastic Dynamics
Shuo Li
Osbert Bastani
27
84
0
24 Oct 2019
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems
Tianyi Lin
Chi Jin
Michael I. Jordan
62
505
0
02 Jun 2019
Batch Policy Learning under Constraints
Batch Policy Learning under Constraints
Hoang Minh Le
Cameron Voloshin
Yisong Yue
OffRL
40
328
0
20 Mar 2019
Value constrained model-free continuous control
Value constrained model-free continuous control
Steven Bohez
A. Abdolmaleki
Michael Neunert
J. Buchli
N. Heess
R. Hadsell
31
62
0
12 Feb 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
37
245
0
28 Jan 2019
Reward Constrained Policy Optimization
Reward Constrained Policy Optimization
Chen Tessler
D. Mankowitz
Shie Mannor
54
540
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
136
504
0
20 May 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
30
435
0
26 Jan 2018
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement
  Learning
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning
Benjamin Eysenbach
S. Gu
Julian Ibarz
Sergey Levine
CLL
50
139
0
18 Nov 2017
First-order Methods Almost Always Avoid Saddle Points
First-order Methods Almost Always Avoid Saddle Points
Jason D. Lee
Ioannis Panageas
Georgios Piliouras
Max Simchowitz
Michael I. Jordan
Benjamin Recht
ODL
114
83
0
20 Oct 2017
Safe Reinforcement Learning via Shielding
Safe Reinforcement Learning via Shielding
Mohammed Alshiekh
Roderick Bloem
Rüdiger Ehlers
Bettina Könighofer
S. Niekum
Ufuk Topcu
40
682
0
29 Aug 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
185
18,685
0
20 Jul 2017
Constrained Policy Optimization
Constrained Policy Optimization
Joshua Achiam
David Held
Aviv Tamar
Pieter Abbeel
80
1,313
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
103
845
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
40
494
0
03 May 2017
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Shai Shalev-Shwartz
Shaked Shammah
Amnon Shashua
25
828
0
11 Oct 2016
Concrete Problems in AI Safety
Concrete Problems in AI Safety
Dario Amodei
C. Olah
Jacob Steinhardt
Paul Christiano
John Schulman
Dandelion Mané
141
2,349
0
21 Jun 2016
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria
Yinlam Chow
Mohammad Ghavamzadeh
Lucas Janson
Marco Pavone
41
509
0
05 Dec 2015
Risk-Sensitive Reinforcement Learning Applied to Control under
  Constraints
Risk-Sensitive Reinforcement Learning Applied to Control under Constraints
Peter Geibel
F. Wysotzki
53
317
0
09 Sep 2011
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