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Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments
  with Distributional Reinforcement Learning

Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning

28 March 2022
Cheng Liu
E. Kampen
Guido de Croon
ArXivPDFHTML

Papers citing "Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning"

6 / 6 papers shown
Title
AI and Vision based Autonomous Navigation of Nano-Drones in Partially-Known Environments
AI and Vision based Autonomous Navigation of Nano-Drones in Partially-Known Environments
Mattia Sartori
Chetna Singhal
Neelabhro Roy
Davide Brunelli
J. Gross
55
0
0
08 May 2025
Robust Route Planning with Distributional Reinforcement Learning in a
  Stochastic Road Network Environment
Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment
Xi Lin
Paul Szenher
John D. Martin
Brendan Englot
26
2
0
19 Apr 2023
Robust and Efficient Depth-based Obstacle Avoidance for Autonomous
  Miniaturized UAVs
Robust and Efficient Depth-based Obstacle Avoidance for Autonomous Miniaturized UAVs
H. Müller
Vlad Niculescu
T. Polonelli
Michele Magno
Luca Benini
29
29
0
26 Aug 2022
Minimizing Safety Interference for Safe and Comfortable Automated
  Driving with Distributional Reinforcement Learning
Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning
Danial Kamran
Tizian Engelgeh
M. Busch
Johannes Fischer
Christoph Stiller
OffRL
168
23
0
15 Jul 2021
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
80
1,234
0
30 Nov 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1