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Safe Exploration in Model-based Reinforcement Learning using Control
  Barrier Functions

Safe Exploration in Model-based Reinforcement Learning using Control Barrier Functions

16 April 2021
Max H. Cohen
C. Belta
    OffRL
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Papers citing "Safe Exploration in Model-based Reinforcement Learning using Control Barrier Functions"

5 / 5 papers shown
Title
Function Gradient Approximation with Random Shallow ReLU Networks with
  Control Applications
Function Gradient Approximation with Random Shallow ReLU Networks with Control Applications
Andrew Lamperski
Siddharth Salapaka
26
0
0
07 Oct 2024
Enhanced Safety in Autonomous Driving: Integrating Latent State
  Diffusion Model for End-to-End Navigation
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation
Detian Chu
Linyuan Bai
Jianuo Huang
Zhenlong Fang
Peng Zhang
Wei Kang
Haifeng Lin
45
2
0
08 Jul 2024
Approximation with Random Shallow ReLU Networks with Applications to
  Model Reference Adaptive Control
Approximation with Random Shallow ReLU Networks with Applications to Model Reference Adaptive Control
Andrew G. Lamperski
Tyler Lekang
35
3
0
25 Mar 2024
A Survey on Physics Informed Reinforcement Learning: Review and Open
  Problems
A Survey on Physics Informed Reinforcement Learning: Review and Open Problems
C. Banerjee
Kien Nguyen
Clinton Fookes
M. Raissi
PINN
AI4CE
33
9
0
05 Sep 2023
Recursively Feasible Probabilistic Safe Online Learning with Control
  Barrier Functions
Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions
F. Castañeda
Jason J. Choi
Wonsuhk Jung
Bike Zhang
Claire Tomlin
Koushil Sreenath
48
6
0
23 Aug 2022
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