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What do we learn from a large-scale study of pre-trained visual
  representations in sim and real environments?

What do we learn from a large-scale study of pre-trained visual representations in sim and real environments?

3 October 2023
Sneha Silwal
Karmesh Yadav
Tingfan Wu
Jay Vakil
Arjun Majumdar
Sergio Arnaud
Claire Chen
Vincent-Pierre Berges
Dhruv Batra
Aravind Rajeswaran
Mrinal Kalakrishnan
Franziska Meier
Oleksandr Maksymets
    SSL
    LM&Ro
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Papers citing "What do we learn from a large-scale study of pre-trained visual representations in sim and real environments?"

4 / 4 papers shown
Title
Real-is-Sim: Bridging the Sim-to-Real Gap with a Dynamic Digital Twin for Real-World Robot Policy Evaluation
Real-is-Sim: Bridging the Sim-to-Real Gap with a Dynamic Digital Twin for Real-World Robot Policy Evaluation
Jad Abou-Chakra
Lingfeng Sun
Krishan Rana
Brandon B. May
Karl Schmeckpeper
M. Minniti
Laura Herlant
OffRL
161
0
0
04 Apr 2025
Accelerating Model-Based Reinforcement Learning with State-Space World Models
Accelerating Model-Based Reinforcement Learning with State-Space World Models
Maria Krinner
Elie Aljalbout
Angel Romero
Davide Scaramuzza
OffRL
74
1
0
27 Feb 2025
Spatiotemporal Predictive Pre-training for Robotic Motor Control
Spatiotemporal Predictive Pre-training for Robotic Motor Control
Jiange Yang
Bei Liu
Jianlong Fu
Bocheng Pan
Gangshan Wu
Limin Wang
42
10
0
08 Mar 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
156
241
0
06 Oct 2022
1