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Safe Policy Search for Lifelong Reinforcement Learning with Sublinear
  Regret

Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret

21 May 2015
Haitham Bou-Ammar
Rasul Tutunov
Eric Eaton
    OffRL
    CLL
ArXivPDFHTML

Papers citing "Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret"

15 / 15 papers shown
Title
A Definition of Continual Reinforcement Learning
A Definition of Continual Reinforcement Learning
David Abel
André Barreto
Benjamin Van Roy
Doina Precup
H. V. Hasselt
Satinder Singh
CLL
41
74
0
20 Jul 2023
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments
Yash Chandak
Shiv Shankar
Nathaniel D. Bastian
Bruno Castro da Silva
Emma Brunskil
Philip S. Thomas
OffRL
52
6
0
24 Jan 2023
Safe Reinforcement Learning using Data-Driven Predictive Control
Safe Reinforcement Learning using Data-Driven Predictive Control
Mahmoud Selim
Amr Alanwar
M. El-Kharashi
Hazem Abbas
Karl H. Johansson
OffRL
25
3
0
20 Nov 2022
Is the Rush to Machine Learning Jeopardizing Safety? Results of a Survey
Is the Rush to Machine Learning Jeopardizing Safety? Results of a Survey
M. Askarpour
Alan Wassyng
M. Lawford
R. Paige
Z. Diskin
27
0
0
29 Nov 2021
Hierarchical reinforcement learning for efficient exploration and
  transfer
Hierarchical reinforcement learning for efficient exploration and transfer
Lorenzo Steccanella
Simone Totaro
Damien Allonsius
Anders Jonsson
BDL
30
8
0
12 Nov 2020
Towards Safe Policy Improvement for Non-Stationary MDPs
Towards Safe Policy Improvement for Non-Stationary MDPs
Yash Chandak
Scott M. Jordan
Georgios Theocharous
Martha White
Philip S. Thomas
OffRL
71
33
0
23 Oct 2020
Lifelong Incremental Reinforcement Learning with Online Bayesian
  Inference
Lifelong Incremental Reinforcement Learning with Online Bayesian Inference
Zhi Wang
Chunlin Chen
D. Dong
CLL
OffRL
15
56
0
28 Jul 2020
Compositional ADAM: An Adaptive Compositional Solver
Compositional ADAM: An Adaptive Compositional Solver
Rasul Tutunov
Minne Li
Alexander I. Cowen-Rivers
Jun Wang
Haitham Bou-Ammar
ODL
57
16
0
10 Feb 2020
Convergent Policy Optimization for Safe Reinforcement Learning
Convergent Policy Optimization for Safe Reinforcement Learning
Ming Yu
Zhuoran Yang
Mladen Kolar
Zhaoran Wang
16
91
0
26 Oct 2019
Safe-To-Explore State Spaces: Ensuring Safe Exploration in Policy Search
  with Hierarchical Task Optimization
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
16
3
0
08 Oct 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
15
101
0
19 Feb 2018
Barrier-Certified Adaptive Reinforcement Learning with Applications to
  Brushbot Navigation
Barrier-Certified Adaptive Reinforcement Learning with Applications to Brushbot Navigation
Motoya Ohnishi
Li Wang
Gennaro Notomista
M. Egerstedt
16
69
0
29 Jan 2018
Constrained Policy Optimization
Constrained Policy Optimization
Joshua Achiam
David Held
Aviv Tamar
Pieter Abbeel
9
1,302
0
30 May 2017
A Deep Hierarchical Approach to Lifelong Learning in Minecraft
A Deep Hierarchical Approach to Lifelong Learning in Minecraft
Chen Tessler
Shahar Givony
Tom Zahavy
D. Mankowitz
Shie Mannor
CLL
27
377
0
25 Apr 2016
Learning Task Grouping and Overlap in Multi-task Learning
Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar
Hal Daumé
184
525
0
27 Jun 2012
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