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A note on stabilizing reinforcement learning

A note on stabilizing reinforcement learning

24 November 2021
Pavel Osinenko
Grigory Yaremenko
Ilya Osokin
ArXivPDFHTML

Papers citing "A note on stabilizing reinforcement learning"

5 / 5 papers shown
Title
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
149
504
0
20 May 2018
Learning-based Model Predictive Control for Safe Exploration
Learning-based Model Predictive Control for Safe Exploration
Torsten Koller
Felix Berkenkamp
M. Turchetta
Andreas Krause
45
376
0
22 Mar 2018
Trial without Error: Towards Safe Reinforcement Learning via Human
  Intervention
Trial without Error: Towards Safe Reinforcement Learning via Human Intervention
William Saunders
Girish Sastry
Andreas Stuhlmuller
Owain Evans
OffRL
54
231
0
17 Jul 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
133
845
0
23 May 2017
The Divergence of Reinforcement Learning Algorithms with Value-Iteration
  and Function Approximation
The Divergence of Reinforcement Learning Algorithms with Value-Iteration and Function Approximation
Michael Fairbank
Eduardo Alonso
46
33
0
22 Jul 2011
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