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1505.05798
Cited By
Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret
International Conference on Machine Learning (ICML), 2015
21 May 2015
Haitham Bou-Ammar
Rasul Tutunov
Eric Eaton
OffRL
CLL
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Papers citing
"Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret"
31 / 31 papers shown
On the Design of Safe Continual RL Methods for Control of Nonlinear Systems
European Control Conference (ECC), 2025
Austin Coursey
Marcos Quiñones-Grueiro
Gautam Biswas
302
0
0
21 Feb 2025
Constrained Reinforcement Learning for Safe Heat Pump Control
Baohe Zhang
Lilli Frison
Thomas Brox
Joschka Bödecker
AI4CE
286
1
0
29 Sep 2024
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning
Conference on Robot Learning (CoRL), 2024
Jonas Günster
Puze Liu
Jan Peters
Davide Tateo
OffRL
347
3
0
18 Sep 2024
Revisiting Safe Exploration in Safe Reinforcement learning
David Eckel
Baohe Zhang
Joschka Bödecker
311
1
0
02 Sep 2024
Reinforcement learning
Florentin Wörgötter
734
3,169
0
16 May 2024
Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications
Puze Liu
Haitham Bou-Ammar
Jan Peters
Davide Tateo
280
21
0
13 Apr 2024
Constrained Reinforcement Learning with Smoothed Log Barrier Function
Baohe Zhang
Yuan Zhang
Lilli Frison
Thomas Brox
Joschka Bödecker
284
16
0
21 Mar 2024
A Definition of Continual Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
David Abel
André Barreto
Benjamin Van Roy
Doina Precup
H. V. Hasselt
Satinder Singh
CLL
589
125
0
20 Jul 2023
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments
Neural Information Processing Systems (NeurIPS), 2023
Yash Chandak
Shiv Shankar
Nathaniel D. Bastian
Bruno Castro da Silva
Emma Brunskil
Philip S. Thomas
OffRL
272
6
0
24 Jan 2023
Safe Reinforcement Learning using Data-Driven Predictive Control
International Conference on Communications, Signal Processing, and their Applications (ICCSPA), 2022
Mahmoud Selim
Amr Alanwar
M. El-Kharashi
Hazem Abbas
Karl H. Johansson
OffRL
282
7
0
20 Nov 2022
Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction
IEEE International Conference on Robotics and Automation (ICRA), 2022
Puze Liu
Kuo Zhang
Davide Tateo
Snehal Jauhri
Zhiyuan Hu
Jan Peters
Georgia Chalvatzaki
265
23
0
27 Sep 2022
Provably Efficient Lifelong Reinforcement Learning with Linear Function Approximation
Sanae Amani
Lin F. Yang
Ching-An Cheng
OffRL
226
2
0
01 Jun 2022
Is the Rush to Machine Learning Jeopardizing Safety? Results of a Survey
M. Askarpour
Alan Wassyng
M. Lawford
R. Paige
Z. Diskin
238
0
0
29 Nov 2021
Hierarchical reinforcement learning for efficient exploration and transfer
Lorenzo Steccanella
Simone Totaro
Damien Allonsius
Anders Jonsson
BDL
194
9
0
12 Nov 2020
Towards Safe Policy Improvement for Non-Stationary MDPs
Neural Information Processing Systems (NeurIPS), 2020
Yash Chandak
Scott M. Jordan
Georgios Theocharous
Martha White
Philip S. Thomas
OffRL
330
40
0
23 Oct 2020
Lifelong Incremental Reinforcement Learning with Online Bayesian Inference
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Zhi Wang
Chunlin Chen
D. Dong
CLL
OffRL
374
61
0
28 Jul 2020
Reinforcement Learning
Olivier Buffer
Olivier Pietquin
Paul Weng
OffRL
149
0
0
29 May 2020
Compositional ADAM: An Adaptive Compositional Solver
Rasul Tutunov
Minne Li
Alexander I. Cowen-Rivers
Jun Wang
Haitham Bou-Ammar
ODL
280
16
0
10 Feb 2020
Convergent Policy Optimization for Safe Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2019
Ming Yu
Zhuoran Yang
Mladen Kolar
Zhaoran Wang
350
105
0
26 Oct 2019
Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning
IEEE International Joint Conference on Neural Network (IJCNN), 2019
Thommen George Karimpanal
Santu Rana
Sunil R. Gupta
T. Tran
Svetha Venkatesh
OffRL
OnRL
289
11
0
10 Sep 2019
Practical Risk Measures in Reinforcement Learning
Dotan Di Castro
J. Oren
Shie Mannor
204
9
0
22 Aug 2019
Safe-To-Explore State Spaces: Ensuring Safe Exploration in Policy Search with Hierarchical Task Optimization
Jens Lundell
R. Krug
Erik Schaffernicht
Todor Stoyanov
Ville Kyrki
87
3
0
08 Oct 2018
Unicorn: Continual Learning with a Universal, Off-policy Agent
D. Mankowitz
Augustin Žídek
André Barreto
Dan Horgan
Matteo Hessel
John Quan
Junhyuk Oh
H. V. Hasselt
David Silver
Tom Schaul
CLL
OffRL
245
48
0
22 Feb 2018
Accelerated Primal-Dual Policy Optimization for Safe Reinforcement Learning
Qingkai Liang
Fanyu Que
E. Modiano
238
124
0
19 Feb 2018
Learning Robust Options
D. Mankowitz
Timothy A. Mann
Pierre-Luc Bacon
Doina Precup
Shie Mannor
182
50
0
09 Feb 2018
Barrier-Certified Adaptive Reinforcement Learning with Applications to Brushbot Navigation
Motoya Ohnishi
Li Wang
Gennaro Notomista
M. Egerstedt
345
80
0
29 Jan 2018
Constrained Policy Optimization
International Conference on Machine Learning (ICML), 2017
Joshua Achiam
David Held
Aviv Tamar
Pieter Abbeel
1.7K
1,704
0
30 May 2017
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Shai Shalev-Shwartz
Shaked Shammah
Amnon Shashua
400
919
0
11 Oct 2016
A Deep Hierarchical Approach to Lifelong Learning in Minecraft
Chen Tessler
Shahar Givony
Tom Zahavy
D. Mankowitz
Shie Mannor
CLL
460
398
0
25 Apr 2016
Theoretically-Grounded Policy Advice from Multiple Teachers in Reinforcement Learning Settings with Applications to Negative Transfer
Yusen Zhan
Haitham Bou-Ammar
Matthew E. Taylor
OffRL
159
43
0
13 Apr 2016
Adaptive Skills, Adaptive Partitions (ASAP)
D. Mankowitz
Timothy A. Mann
Shie Mannor
303
61
0
10 Feb 2016
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