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. 2010.12488
  4. Cited By
CLOUD: Contrastive Learning of Unsupervised Dynamics

CLOUD: Contrastive Learning of Unsupervised Dynamics

23 October 2020
Jianren Wang
Yujie Lu
Hang Zhao
ArXivPDFHTML

Papers citing "CLOUD: Contrastive Learning of Unsupervised Dynamics"

35 / 35 papers shown
Title
CURL: Contrastive Unsupervised Representations for Reinforcement
  Learning
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
A. Srinivas
Michael Laskin
Pieter Abbeel
SSL
DRL
OffRL
83
1,087
0
08 Apr 2020
Learning Predictive Representations for Deformable Objects Using
  Contrastive Estimation
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation
Wilson Yan
Ashwin Vangipuram
Pieter Abbeel
Lerrel Pinto
78
190
0
11 Mar 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
475
3,427
0
09 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
358
18,752
0
13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
199
12,074
0
13 Nov 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
158
2,399
0
13 Jun 2019
Unsupervised Embedding Learning via Invariant and Spreading Instance
  Feature
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
Mang Ye
Xu-Yao Zhang
PongChi Yuen
Shih-Fu Chang
SSL
78
581
0
06 Apr 2019
Model-Based Reinforcement Learning for Atari
Model-Based Reinforcement Learning for Atari
Lukasz Kaiser
Mohammad Babaeizadeh
Piotr Milos
B. Osinski
R. Campbell
...
Sergey Levine
Afroz Mohiuddin
Ryan Sepassi
George Tucker
Henryk Michalewski
OffRL
127
860
0
01 Mar 2019
Learning Action Representations for Reinforcement Learning
Learning Action Representations for Reinforcement Learning
Yash Chandak
Georgios Theocharous
James E. Kostas
Scott M. Jordan
Philip S. Thomas
56
163
0
01 Feb 2019
Visual Foresight: Model-Based Deep Reinforcement Learning for
  Vision-Based Robotic Control
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
F. Ebert
Chelsea Finn
Sudeep Dasari
Annie Xie
Alex X. Lee
Sergey Levine
SSL
110
386
0
03 Dec 2018
Learning Latent Dynamics for Planning from Pixels
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner
Timothy Lillicrap
Ian S. Fischer
Ruben Villegas
David R Ha
Honglak Lee
James Davidson
BDL
88
1,436
0
12 Nov 2018
Interpretable Intuitive Physics Model
Interpretable Intuitive Physics Model
Tian-Chun Ye
Xinyu Wang
James Davidson
Abhinav Gupta
DRL
AI4CE
51
57
0
29 Aug 2018
Learning Plannable Representations with Causal InfoGAN
Learning Plannable Representations with Causal InfoGAN
Thanard Kurutach
Aviv Tamar
Ge Yang
Stuart J. Russell
Pieter Abbeel
GAN
DRL
68
180
0
24 Jul 2018
Invariant Information Clustering for Unsupervised Image Classification
  and Segmentation
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
Xu Ji
João F. Henriques
Andrea Vedaldi
SSL
VLM
84
850
0
17 Jul 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic
  Dynamics Models
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
Kurtland Chua
Roberto Calandra
R. McAllister
Sergey Levine
BDL
224
1,277
0
30 May 2018
Imitating Latent Policies from Observation
Imitating Latent Policies from Observation
Ashley D. Edwards
Himanshu Sahni
Yannick Schroecker
Charles Isbell
75
138
0
21 May 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
170
3,452
0
05 May 2018
Behavioral Cloning from Observation
Behavioral Cloning from Observation
F. Torabi
Garrett A. Warnell
Peter Stone
OffRL
113
724
0
04 May 2018
Zero-Shot Visual Imitation
Zero-Shot Visual Imitation
Deepak Pathak
Parsa Mahmoudieh
Guanghao Luo
Pulkit Agrawal
Dian Chen
Yide Shentu
Evan Shelhamer
Jitendra Malik
Alexei A. Efros
Trevor Darrell
LM&Ro
107
300
0
23 Apr 2018
DeepMind Control Suite
DeepMind Control Suite
Yuval Tassa
Yotam Doron
Alistair Muldal
Tom Erez
Yazhe Li
...
A. Abdolmaleki
J. Merel
Andrew Lefrancq
Timothy Lillicrap
Martin Riedmiller
ELM
LM&Ro
BDL
133
1,134
0
02 Jan 2018
Taking Visual Motion Prediction To New Heightfields
Taking Visual Motion Prediction To New Heightfields
Sébastien Ehrhardt
Áron Monszpart
Niloy Mitra
Andrea Vedaldi
44
23
0
22 Dec 2017
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden M. Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
317
887
0
11 Nov 2017
Multi-task Self-Supervised Visual Learning
Multi-task Self-Supervised Visual Learning
Carl Doersch
Andrew Zisserman
SSL
78
631
0
25 Aug 2017
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with
  Model-Free Fine-Tuning
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
Anusha Nagabandi
G. Kahn
R. Fearing
Sergey Levine
91
973
0
08 Aug 2017
Imitation from Observation: Learning to Imitate Behaviors from Raw Video
  via Context Translation
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation
YuXuan Liu
Abhishek Gupta
Pieter Abbeel
Sergey Levine
109
380
0
11 Jul 2017
Visual Interaction Networks
Visual Interaction Networks
Nicholas Watters
Andrea Tacchetti
T. Weber
Razvan Pascanu
Peter W. Battaglia
Daniel Zoran
PINN
3DH
93
279
0
05 Jun 2017
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRM
SSL
106
2,437
0
15 May 2017
Combining Self-Supervised Learning and Imitation for Vision-Based Rope
  Manipulation
Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation
Ashvin Nair
Dian Chen
Pulkit Agrawal
Phillip Isola
Pieter Abbeel
Jitendra Malik
Sergey Levine
SSL
50
311
0
06 Mar 2017
Learning to Push by Grasping: Using multiple tasks for effective
  learning
Learning to Push by Grasping: Using multiple tasks for effective learning
Lerrel Pinto
Abhinav Gupta
62
134
0
28 Sep 2016
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
Pulkit Agrawal
Ashvin Nair
Pieter Abbeel
Jitendra Malik
Sergey Levine
SSL
65
564
0
23 Jun 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing
  Generative Adversarial Nets
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
GAN
157
4,235
0
12 Jun 2016
Generative Adversarial Imitation Learning
Generative Adversarial Imitation Learning
Jonathan Ho
Stefano Ermon
GAN
140
3,106
0
10 Jun 2016
SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks
SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks
Arunkumar Byravan
Dieter Fox
3DPC
65
269
0
08 Jun 2016
Learning Visual Predictive Models of Physics for Playing Billiards
Learning Visual Predictive Models of Physics for Playing Billiards
Katerina Fragkiadaki
Pulkit Agrawal
Sergey Levine
Jitendra Malik
78
261
0
23 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
1