DayDreamer: World Models for Physical Robot Learning

DayDreamer: World Models for Physical Robot Learning

28 June 2022

Alejandro Escontrela

Pieter Abbeel

Papers citing "DayDreamer: World Models for Physical Robot Learning"

8 / 208 papers shown

Title
ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints Dhruv Shah Sergey Levine 126 65 0 23 Feb 2022
Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtube Aravind Sivakumar Kenneth Shaw Deepak Pathak 112 99 0 21 Feb 2022
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets F. Ebert Yanlai Yang Karl Schmeckpeper Bernadette Bucher G. Georgakis Kostas Daniilidis Chelsea Finn Sergey Levine 152 212 0 27 Sep 2021
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning N. Rudin David Hoeller Philipp Reist Marco Hutter 108 535 0 24 Sep 2021
Pixyz: a Python library for developing deep generative models Masahiro Suzuki T. Kaneko Y. Matsuo AI4CE 13 2 0 28 Jul 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 194 412 0 16 Feb 2021
Learning to Fly via Deep Model-Based Reinforcement Learning Philip Becker-Ehmck Maximilian Karl Jan Peters Patrick van der Smagt SSL 21 37 0 19 Mar 2020
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 143 404 0 25 Sep 2019