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. 2303.08135
  4. Cited By
Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained
  Representations

Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations

14 March 2023
Jianren Wang
Sudeep Dasari
M. K. Srirama
Shubham Tulsiani
Abhi Gupta
    SSL
ArXivPDFHTML

Papers citing "Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations"

7 / 7 papers shown
Title
Grounding Video Models to Actions through Goal Conditioned Exploration
Grounding Video Models to Actions through Goal Conditioned Exploration
Yunhao Luo
Yilun Du
LM&Ro
VGen
71
1
0
11 Nov 2024
LLaRA: Supercharging Robot Learning Data for Vision-Language Policy
LLaRA: Supercharging Robot Learning Data for Vision-Language Policy
Xiang Li
Cristina Mata
J. Park
Kumara Kahatapitiya
Yoo Sung Jang
...
Kanchana Ranasinghe
R. Burgert
Mu Cai
Yong Jae Lee
Michael S. Ryoo
LM&Ro
52
23
0
28 Jun 2024
Real-World Robot Learning with Masked Visual Pre-training
Real-World Robot Learning with Masked Visual Pre-training
Ilija Radosavovic
Tete Xiao
Stephen James
Pieter Abbeel
Jitendra Malik
Trevor Darrell
SSL
141
238
0
06 Oct 2022
No RL, No Simulation: Learning to Navigate without Navigating
No RL, No Simulation: Learning to Navigate without Navigating
Meera Hahn
Devendra Singh Chaplot
Shubham Tulsiani
Mustafa Mukadam
James M. Rehg
Abhinav Gupta
70
71
0
18 Oct 2021
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Kristen Grauman
Andrew Westbury
Eugene Byrne
Zachary Chavis
Antonino Furnari
...
Mike Zheng Shou
Antonio Torralba
Lorenzo Torresani
Mingfei Yan
Jitendra Malik
EgoV
212
682
0
13 Oct 2021
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
196
627
0
12 Oct 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
321
1,662
0
04 May 2020
1