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. 2012.04406
  4. Cited By
NavRep: Unsupervised Representations for Reinforcement Learning of Robot
  Navigation in Dynamic Human Environments

NavRep: Unsupervised Representations for Reinforcement Learning of Robot Navigation in Dynamic Human Environments

8 December 2020
Daniel Dugas
Juan I. Nieto
Roland Siegwart
Jen Jen Chung
    SSL
ArXivPDFHTML

Papers citing "NavRep: Unsupervised Representations for Reinforcement Learning of Robot Navigation in Dynamic Human Environments"

12 / 12 papers shown
Title
Improving robot navigation in crowded environments using intrinsic rewards
Improving robot navigation in crowded environments using intrinsic rewards
Diego Martínez Baselga
L. Riazuelo
Luis Montano
41
12
0
13 Feb 2023
Holistic Deep-Reinforcement-Learning-based Training of Autonomous
  Navigation Systems
Holistic Deep-Reinforcement-Learning-based Training of Autonomous Navigation Systems
Linh Kästner
Marvin Meusel
Teham Bhuiyan
Jens Lambrecht
11
1
0
06 Feb 2023
Arena-Web -- A Web-based Development and Benchmarking Platform for
  Autonomous Navigation Approaches
Arena-Web -- A Web-based Development and Benchmarking Platform for Autonomous Navigation Approaches
Linh Kästner
Reyk Carstens
C. Liebig
V.H. Shcherbyna
Lena Nahrwold
Subhin Lee
Jens Lambrecht
23
3
0
06 Feb 2023
DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using
  Velocity Obstacles
DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles
Zhanteng Xie
P. Dames
38
61
0
16 Jan 2023
Deep-Reinforcement-Learning-based Path Planning for Industrial Robots
  using Distance Sensors as Observation
Deep-Reinforcement-Learning-based Path Planning for Industrial Robots using Distance Sensors as Observation
Teham Bhuiyan
Linh Kästner
Yifan Hu
Benno Kutschank
Jens Lambrecht
21
5
0
14 Jan 2023
Deep Reinforcement Learning based Robot Navigation in Dynamic
  Environments using Occupancy Values of Motion Primitives
Deep Reinforcement Learning based Robot Navigation in Dynamic Environments using Occupancy Values of Motion Primitives
Neset Unver Akmandor
Hongyu Li
Gary Lvov
Eric Dusel
T. Padır
21
7
0
17 Aug 2022
Arena-Bench: A Benchmarking Suite for Obstacle Avoidance Approaches in
  Highly Dynamic Environments
Arena-Bench: A Benchmarking Suite for Obstacle Avoidance Approaches in Highly Dynamic Environments
Linh Kästner
Teham Bhuiyan
T. Le
Elias Treis
Johanne Cox
...
Reyk Carstens
Duc Pichel
Bassel Fatloun
Niloufar Khorsandi
Jens Lambrecht
25
36
0
12 Jun 2022
NavDreams: Towards Camera-Only RL Navigation Among Humans
NavDreams: Towards Camera-Only RL Navigation Among Humans
Daniel Dugas
Olov Andersson
Roland Siegwart
Jen Jen Chung
VGen
16
12
0
23 Mar 2022
Risk-aware Trajectory Sampling for Quadrotor Obstacle Avoidance in
  Dynamic Environments
Risk-aware Trajectory Sampling for Quadrotor Obstacle Avoidance in Dynamic Environments
Gang Chen
Peng Peng
Peihan Zhang
Wei Dong
25
24
0
17 Jan 2022
Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with
  Conventional Global Planners using Waypoint Generators
Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint Generators
Linh Kästner
Teham Buiyan
Xinlin Zhao
Zhengcheng Shen
Cornelius Marx
Jens Lambrecht
11
29
0
08 Apr 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
137
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
173
583
0
26 Sep 2016
1