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. 2303.03486
  4. Cited By
Sampling-based Exploration for Reinforcement Learning of Dexterous
  Manipulation

Sampling-based Exploration for Reinforcement Learning of Dexterous Manipulation

6 March 2023
Gagan Khandate
Siqi Shang
Eric Chang
Tristan L. Saidi
Yang Liu
Seth Matthew Dennis
Johnson Adams
M. Ciocarlie
ArXivPDFHTML

Papers citing "Sampling-based Exploration for Reinforcement Learning of Dexterous Manipulation"

5 / 5 papers shown
Title
In-Hand Cube Reconfiguration: Simplified
In-Hand Cube Reconfiguration: Simplified
Sumit Patidar
Adrian Sieler
Oliver Brock
8
2
0
23 Aug 2023
In-Hand Object Rotation via Rapid Motor Adaptation
In-Hand Object Rotation via Rapid Motor Adaptation
Haozhi Qi
Ashish Kumar
Roberto Calandra
Yinsong Ma
Jitendra Malik
117
65
0
10 Oct 2022
Surprisingly Robust In-Hand Manipulation: An Empirical Study
Surprisingly Robust In-Hand Manipulation: An Empirical Study
Aditya Bhatt
Adrian Sieler
Steffen Puhlmann
Oliver Brock
93
68
0
27 Jan 2022
On the Feasibility of Learning Finger-gaiting In-hand Manipulation with
  Intrinsic Sensing
On the Feasibility of Learning Finger-gaiting In-hand Manipulation with Intrinsic Sensing
Gagan Khandate
Maximilian Haas-Heger
M. Ciocarlie
112
22
0
26 Sep 2021
MPC-MPNet: Model-Predictive Motion Planning Networks for Fast,
  Near-Optimal Planning under Kinodynamic Constraints
MPC-MPNet: Model-Predictive Motion Planning Networks for Fast, Near-Optimal Planning under Kinodynamic Constraints
Linjun Li
Yinglong Miao
A. H. Qureshi
Michael C. Yip
33
45
0
17 Jan 2021
1