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. 2303.00947
  4. Cited By
Reshaping Viscoelastic-String Path-Planner (RVP)

Reshaping Viscoelastic-String Path-Planner (RVP)

2 March 2023
Sarvesh Mayilvahanan
Akshay Sarvesh
Swaminathan Gopalswamy
ArXiv (abs)PDFHTML

Papers citing "Reshaping Viscoelastic-String Path-Planner (RVP)"

7 / 7 papers shown
Title
Robot navigation from human demonstration: learning control behaviors
  with environment feature maps
Robot navigation from human demonstration: learning control behaviors with environment feature maps
Maggie B. Wigness
J. Rogers
L. Navarro-Serment
60
43
0
06 May 2022
Deep Visual MPC-Policy Learning for Navigation
Deep Visual MPC-Policy Learning for Navigation
Noriaki Hirose
F. Xia
Roberto Martin-Martin
Amir Sadeghian
Silvio Savarese
82
98
0
07 Mar 2019
Curiosity-driven Exploration for Mapless Navigation with Deep
  Reinforcement Learning
Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning
Oleksii Zhelo
Jingwei Zhang
L. Tai
Ming-Yuan Liu
Wolfram Burgard
66
104
0
02 Apr 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
317
8,420
0
04 Jan 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
544
19,296
0
20 Jul 2017
Deep Reinforcement Learning with Successor Features for Navigation
  across Similar Environments
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments
Jingwei Zhang
Jost Tobias Springenberg
Joschka Boedecker
Wolfram Burgard
74
295
0
16 Dec 2016
Sampling-based Algorithms for Optimal Motion Planning
Sampling-based Algorithms for Optimal Motion Planning
S. Karaman
Emilio Frazzoli
107
4,700
0
05 May 2011
1