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Probably Approximately Correct Vision-Based Planning using Motion
  Primitives

Probably Approximately Correct Vision-Based Planning using Motion Primitives

28 February 2020
Sushant Veer
Anirudha Majumdar
    3DV
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Papers citing "Probably Approximately Correct Vision-Based Planning using Motion Primitives"

6 / 6 papers shown
Title
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey
Milan Ganai
Sicun Gao
Sylvia L. Herbert
32
6
0
12 Jul 2024
Fundamental Tradeoffs in Learning with Prior Information
Fundamental Tradeoffs in Learning with Prior Information
Anirudha Majumdar
27
0
0
26 Apr 2023
PAC-Bayesian Soft Actor-Critic Learning
PAC-Bayesian Soft Actor-Critic Learning
Bahareh Tasdighi
Abdullah Akgul
Manuel Haussmann
Kenny Kazimirzak Brink
M. Kandemir
29
3
0
30 Jan 2023
Safe Output Feedback Motion Planning from Images via Learned Perception
  Modules and Contraction Theory
Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory
Glen Chou
N. Ozay
Dmitry Berenson
14
22
0
14 Jun 2022
PAC-Bayesian Lifelong Learning For Multi-Armed Bandits
PAC-Bayesian Lifelong Learning For Multi-Armed Bandits
H. Flynn
David Reeb
M. Kandemir
Jan Peters
22
7
0
07 Mar 2022
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and
  Generalization Guarantees
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees
Kai Hsu
Allen Z. Ren
D. Nguyen
Anirudha Majumdar
J. F. Fisac
OffRL
22
41
0
20 Jan 2022
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