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. 2103.11686
  4. Cited By
IPAPRec: A promising tool for learning high-performance mapless
  navigation skills with deep reinforcement learning

IPAPRec: A promising tool for learning high-performance mapless navigation skills with deep reinforcement learning

22 March 2021
Wei Zhang
Yunfeng Zhang
Ning Liu
Kai Ren
Pengfei Wang
ArXivPDFHTML

Papers citing "IPAPRec: A promising tool for learning high-performance mapless navigation skills with deep reinforcement learning"

10 / 10 papers shown
Title
Advances in Embodied Navigation Using Large Language Models: A Survey
Advances in Embodied Navigation Using Large Language Models: A Survey
Jinzhou Lin
Han Gao
Xuxiang Feng
Rongtao Xu
Changwei Wang
Man Zhang
Li Guo
Shibiao Xu
LM&Ro
LLMAG
95
9
0
01 Nov 2023
Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support
  Point-Based Approach
Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support Point-Based Approach
Wei Zhang
Ning Liu
Yunfeng Zhang
3DPC
39
20
0
20 Oct 2020
Regularization Matters in Policy Optimization
Regularization Matters in Policy Optimization
Zhuang Liu
Xuanlin Li
Bingyi Kang
Trevor Darrell
OffRL
48
33
0
21 Oct 2019
Residual Reactive Navigation: Combining Classical and Learned Navigation
  Strategies For Deployment in Unknown Environments
Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments
Krishan Rana
Ben Talbot
Vibhavari Dasagi
Michael Milford
Niko Sünderhauf
25
22
0
24 Sep 2019
Learning with Training Wheels: Speeding up Training with a Simple
  Controller for Deep Reinforcement Learning
Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning
Linhai Xie
Sen Wang
Stefano Rosa
Andrew Markham
A. Trigoni
OffRL
46
80
0
12 Dec 2018
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for
  Map-less Navigation by Leveraging Prior Demonstrations
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations
Mark Pfeiffer
Samarth Shukla
M. Turchetta
Cesar Cadena
Andreas Krause
Roland Siegwart
Juan I. Nieto
34
157
0
18 May 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
186
8,236
0
04 Jan 2018
A Data-driven Model for Interaction-aware Pedestrian Motion Prediction
  in Object Cluttered Environments
A Data-driven Model for Interaction-aware Pedestrian Motion Prediction in Object Cluttered Environments
Mark Pfeiffer
Giuseppe Paolo
H. Sommer
Juan I. Nieto
Roland Siegwart
Cesar Cadena
20
103
0
25 Sep 2017
Virtual-to-real Deep Reinforcement Learning: Continuous Control of
  Mobile Robots for Mapless Navigation
Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation
L. Tai
Giuseppe Paolo
Ming-Yuan Liu
57
706
0
01 Mar 2017
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
168
13,174
0
09 Sep 2015
1