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Unsupervised Visuomotor Control through Distributional Planning Networks

Unsupervised Visuomotor Control through Distributional Planning Networks

14 February 2019
Tianhe Yu
Gleb Shevchuk
Dorsa Sadigh
Chelsea Finn
    SSL
    OffRL
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Papers citing "Unsupervised Visuomotor Control through Distributional Planning Networks"

11 / 11 papers shown
Title
Learning to Optimize in Model Predictive Control
Learning to Optimize in Model Predictive Control
Jacob Sacks
Byron Boots
27
22
0
05 Dec 2022
Learning Sampling Distributions for Model Predictive Control
Learning Sampling Distributions for Model Predictive Control
Jacob Sacks
Byron Boots
11
21
0
05 Dec 2022
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step
  Inverse Models
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models
Alex Lamb
Riashat Islam
Yonathan Efroni
Aniket Didolkar
Dipendra Kumar Misra
Dylan J. Foster
Lekan Molu
Rajan Chari
A. Krishnamurthy
John Langford
41
24
0
17 Jul 2022
Which Mutual-Information Representation Learning Objectives are
  Sufficient for Control?
Which Mutual-Information Representation Learning Objectives are Sufficient for Control?
Kate Rakelly
Abhishek Gupta
Carlos Florensa
Sergey Levine
SSL
26
38
0
14 Jun 2021
DMotion: Robotic Visuomotor Control with Unsupervised Forward Model
  Learned from Videos
DMotion: Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos
Haoqi Yuan
Ruihai Wu
Andrew Zhao
Hanwang Zhang
Zihan Ding
Hao Dong
19
3
0
07 Mar 2021
Plan2Vec: Unsupervised Representation Learning by Latent Plans
Plan2Vec: Unsupervised Representation Learning by Latent Plans
Ge Yang
Amy Zhang
Ari S. Morcos
Joelle Pineau
Pieter Abbeel
Roberto Calandra
SSL
OffRL
28
27
0
07 May 2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic
  Reinforcement Learning
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning
Ryan Julian
Benjamin Swanson
Gaurav Sukhatme
Sergey Levine
Chelsea Finn
Karol Hausman
OnRL
CLL
33
43
0
21 Apr 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior
Weakly-Supervised Reinforcement Learning for Controllable Behavior
Lisa Lee
Benjamin Eysenbach
Ruslan Salakhutdinov
S. Gu
Chelsea Finn
SSL
17
26
0
06 Apr 2020
Scalable Multi-Task Imitation Learning with Autonomous Improvement
Scalable Multi-Task Imitation Learning with Autonomous Improvement
Avi Singh
Eric Jang
A. Irpan
Daniel Kappler
Murtaza Dalal
Sergey Levine
Mohi Khansari
Chelsea Finn
48
35
0
25 Feb 2020
Combining Q-Learning and Search with Amortized Value Estimates
Combining Q-Learning and Search with Amortized Value Estimates
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
Tobias Pfaff
T. Weber
Lars Buesing
Peter W. Battaglia
OffRL
27
47
0
05 Dec 2019
The Differentiable Cross-Entropy Method
The Differentiable Cross-Entropy Method
Brandon Amos
Denis Yarats
29
54
0
27 Sep 2019
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