ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1910.09998
  4. Cited By
Learning Resilient Behaviors for Navigation Under Uncertainty

Learning Resilient Behaviors for Navigation Under Uncertainty

22 October 2019
Tingxiang Fan
Pinxin Long
Wenxi Liu
Jia Pan
Ruigang Yang
Tianyi Zhou
ArXivPDFHTML

Papers citing "Learning Resilient Behaviors for Navigation Under Uncertainty"

8 / 8 papers shown
Title
Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning
Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning
Daniel Flögel
Marcos Gómez Villafane
Joshua Ransiek
Sören Hohmann
28
0
0
16 Sep 2024
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning
  Components
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components
F. Arnez
H. Espinoza
A. Radermacher
F. Terrier
UQCV
21
4
0
12 Jan 2023
NR-RRT: Neural Risk-Aware Near-Optimal Path Planning in Uncertain
  Nonconvex Environments
NR-RRT: Neural Risk-Aware Near-Optimal Path Planning in Uncertain Nonconvex Environments
Fei Meng
Liangliang Chen
Han Ma
Jiankun Wang
Max Q.-H. Meng
29
19
0
14 May 2022
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
Cheng Liu
E. Kampen
Guido de Croon
31
16
0
28 Mar 2022
Improving Robustness of Deep Neural Networks for Aerial Navigation by
  Incorporating Input Uncertainty
Improving Robustness of Deep Neural Networks for Aerial Navigation by Incorporating Input Uncertainty
F. Arnez
H. Espinoza
A. Radermacher
F. Terrier
UQCV
24
7
0
26 Oct 2021
Motion Planning Among Dynamic, Decision-Making Agents with Deep
  Reinforcement Learning
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
Michael Everett
Yu Fan Chen
Jonathan P. How
146
509
0
04 May 2018
Decentralized Non-communicating Multiagent Collision Avoidance with Deep
  Reinforcement Learning
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning
Yu Fan Chen
Miao Liu
Michael Everett
Jonathan P. How
187
583
0
26 Sep 2016
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
9,138
0
06 Jun 2015
1