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. 2307.16062
  4. Cited By
Using Implicit Behavior Cloning and Dynamic Movement Primitive to
  Facilitate Reinforcement Learning for Robot Motion Planning

Using Implicit Behavior Cloning and Dynamic Movement Primitive to Facilitate Reinforcement Learning for Robot Motion Planning

29 July 2023
Zengjie Zhang
Jayden Hong
Amir M. Soufi Enayati
Homayoun Najjaran
ArXivPDFHTML

Papers citing "Using Implicit Behavior Cloning and Dynamic Movement Primitive to Facilitate Reinforcement Learning for Robot Motion Planning"

9 / 9 papers shown
Title
Automating Transfer of Robot Task Plans using Functorial Data Migrations
Automating Transfer of Robot Task Plans using Functorial Data Migrations
Angeline Aguinaldo
Evan Patterson
William Regli
62
0
0
22 Jun 2024
End-to-end deep learning-based framework for path planning and collision
  checking: bin picking application
End-to-end deep learning-based framework for path planning and collision checking: bin picking application
Mehran Ghafarian Tamizi
Homayoun Honari
Aleksey Nozdryn-Plotnicki
Homayoun Najjaran
32
6
0
31 Mar 2023
ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement
  Primitives
ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement Primitives
Ge Li
Zeqian Jin
Michael Volpp
Fabian Otto
Rudolf Lioutikov
Gerhard Neumann Karlsruhe Institute of Technology
MU
34
38
0
04 Oct 2022
Modular Deep Reinforcement Learning for Continuous Motion Planning with
  Temporal Logic
Modular Deep Reinforcement Learning for Continuous Motion Planning with Temporal Logic
Mingyu Cai
Mohammadhosein Hasanbeig
Shaoping Xiao
Alessandro Abate
Z. Kan
108
86
0
24 Feb 2021
Dynamic Movement Primitives in Robotics: A Tutorial Survey
Dynamic Movement Primitives in Robotics: A Tutorial Survey
Matteo Saveriano
Fares J. Abu-Dakka
Aljaz Kramberger
L. Peternel
80
166
0
07 Feb 2021
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a
  Survey
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
Wenshuai Zhao
Jorge Peña Queralta
Tomi Westerlund
OffRL
101
724
0
24 Sep 2020
Composable Deep Reinforcement Learning for Robotic Manipulation
Composable Deep Reinforcement Learning for Robotic Manipulation
Tuomas Haarnoja
Vitchyr H. Pong
Aurick Zhou
Murtaza Dalal
Pieter Abbeel
Sergey Levine
91
232
0
19 Mar 2018
Overcoming Exploration in Reinforcement Learning with Demonstrations
Overcoming Exploration in Reinforcement Learning with Demonstrations
Ashvin Nair
Bob McGrew
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
OffRL
69
777
0
28 Sep 2017
A Brief Survey of Deep Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
85
2,792
0
19 Aug 2017
1