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Safe Learning and Optimization Techniques: Towards a Survey of the State
  of the Art

Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art

23 January 2021
Youngmin Kim
Richard Allmendinger
Manuel López-Ibánez
    OffRL
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Papers citing "Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art"

5 / 5 papers shown
Title
CMA-ES for Safe Optimization
CMA-ES for Safe Optimization
Kento Uchida
Ryoki Hamano
Masahiro Nomura
Shota Saito
Shinichi Shirakawa
19
1
0
17 May 2024
Falsification of Learning-Based Controllers through Multi-Fidelity
  Bayesian Optimization
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization
Zahra Shahrooei
Mykel J. Kochenderfer
Ali Baheri
36
6
0
28 Dec 2022
Learning Disturbances Online for Risk-Aware Control: Risk-Aware Flight
  with Less Than One Minute of Data
Learning Disturbances Online for Risk-Aware Control: Risk-Aware Flight with Less Than One Minute of Data
Prithvi Akella
Skylar X. Wei
J. W. Burdick
Aaron D. Ames
32
4
0
12 Dec 2022
Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic
  Algorithm for Constrained Markov Decision Processes
Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes
Sihan Zeng
Thinh T. Doan
Justin Romberg
102
17
0
21 Oct 2021
Safe Exploration in Markov Decision Processes
Safe Exploration in Markov Decision Processes
T. Moldovan
Pieter Abbeel
78
308
0
22 May 2012
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