ResearchTrend.AI
  • Papers
  • Communities
  • Organizations
  • 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. 1610.00696
  4. Cited By
Deep Visual Foresight for Planning Robot Motion
v1v2 (latest)

Deep Visual Foresight for Planning Robot Motion

3 October 2016
Chelsea Finn
Sergey Levine
ArXiv (abs)PDFHTML

Papers citing "Deep Visual Foresight for Planning Robot Motion"

50 / 453 papers shown
Title
Guided Meta-Policy Search
Guided Meta-Policy Search
Russell Mendonca
Abhishek Gupta
Rosen Kralev
Pieter Abbeel
Sergey Levine
Chelsea Finn
77
57
0
01 Apr 2019
Learning Semantic Embedding Spaces for Slicing Vegetables
Learning Semantic Embedding Spaces for Slicing Vegetables
Mohit Sharma
Kevin Zhang
Oliver Kroemer
55
14
0
30 Mar 2019
Combining Coarse and Fine Physics for Manipulation using
  Parallel-in-Time Integration
Combining Coarse and Fine Physics for Manipulation using Parallel-in-Time Integration
Wisdom C. Agboh
Daniel Ruprecht
M. Dogar
AI4CE
85
17
0
20 Mar 2019
Prospection: Interpretable Plans From Language By Predicting the Future
Prospection: Interpretable Plans From Language By Predicting the Future
Chris Paxton
Yonatan Bisk
Jesse Thomason
Arunkumar Byravan
Dieter Fox
LM&Ro
94
48
0
20 Mar 2019
Goal-Directed Behavior under Variational Predictive Coding: Dynamic
  Organization of Visual Attention and Working Memory
Goal-Directed Behavior under Variational Predictive Coding: Dynamic Organization of Visual Attention and Working Memory
Minju Jung
Takazumi Matsumoto
Jun Tani
69
20
0
12 Mar 2019
Manipulation by Feel: Touch-Based Control with Deep Predictive Models
Manipulation by Feel: Touch-Based Control with Deep Predictive Models
Stephen Tian
F. Ebert
Dinesh Jayaraman
M. Mudigonda
Chelsea Finn
Roberto Calandra
Sergey Levine
72
133
0
11 Mar 2019
Deep Visual MPC-Policy Learning for Navigation
Deep Visual MPC-Policy Learning for Navigation
Noriaki Hirose
F. Xia
Roberto Martin-Martin
Amir Sadeghian
Silvio Savarese
123
98
0
07 Mar 2019
Learning Latent Plans from Play
Learning Latent Plans from Play
Corey Lynch
Mohi Khansari
Ted Xiao
Vikash Kumar
Jonathan Tompson
Sergey Levine
P. Sermanet
SSLLM&Ro
134
408
0
05 Mar 2019
VideoFlow: A Conditional Flow-Based Model for Stochastic Video
  Generation
VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation
Manoj Kumar
Mohammad Babaeizadeh
D. Erhan
Chelsea Finn
Sergey Levine
Laurent Dinh
Durk Kingma
VGen
102
132
0
04 Mar 2019
Joint Perception and Control as Inference with an Object-based
  Implementation
Joint Perception and Control as Inference with an Object-based Implementation
Minne Li
Zheng Tian
Pranav Nashikkar
Ian Davies
Ying Wen
Jun Wang
45
2
0
04 Mar 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
337
871
0
01 Mar 2019
Unsupervised Visuomotor Control through Distributional Planning Networks
Unsupervised Visuomotor Control through Distributional Planning Networks
Tianhe Yu
Gleb Shevchuk
Dorsa Sadigh
Chelsea Finn
SSLOffRL
77
42
0
14 Feb 2019
Learning Accurate Extended-Horizon Predictions of High Dimensional
  Trajectories
Learning Accurate Extended-Horizon Predictions of High Dimensional Trajectories
B. Gaudet
R. Linares
R. Furfaro
26
1
0
12 Jan 2019
Learning Manipulation States and Actions for Efficient Non-prehensile
  Rearrangement Planning
Learning Manipulation States and Actions for Efficient Non-prehensile Rearrangement Planning
Joshua A. Haustein
Isac Arnekvist
J. A. Stork
Kaiyu Hang
Danica Kragic
61
11
0
11 Jan 2019
Motion Perception in Reinforcement Learning with Dynamic Objects
Motion Perception in Reinforcement Learning with Dynamic Objects
Artemij Amiranashvili
Alexey Dosovitskiy
V. Koltun
Thomas Brox
78
35
0
10 Jan 2019
Learning Generalizable Physical Dynamics of 3D Rigid Objects
Learning Generalizable Physical Dynamics of 3D Rigid Objects
Davis Rempe
Srinath Sridhar
He Wang
Leonidas Guibas
AI4CE
58
2
0
02 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of
  Challenges, Solutions and Applications
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
Thanh Thi Nguyen
Ngoc Duy Nguyen
S. Nahavandi
154
796
0
31 Dec 2018
Dynamic Planning Networks
Dynamic Planning Networks
Norman L. Tasfi
Miriam A. M. Capretz
77
5
0
28 Dec 2018
Grounded Human-Object Interaction Hotspots from Video
Grounded Human-Object Interaction Hotspots from Video
Tushar Nagarajan
Christoph Feichtenhofer
Kristen Grauman
126
161
0
11 Dec 2018
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
153
392
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
246
1,452
0
12 Nov 2018
Adversarial Learning-Based On-Line Anomaly Monitoring for Assured
  Autonomy
Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy
Naman Patel
Apoorva Nandini Saridena
A. Choromańska
Prashanth Krishnamurthy
Farshad Khorrami
57
18
0
12 Nov 2018
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform
J. Gauci
Edoardo Conti
Yitao Liang
Kittipat Virochsiri
Yuchen He
Zachary Kaden
Vivek Narayanan
Xiaohui Ye
Zhengxing Chen
Scott Fujimoto
98
139
0
01 Nov 2018
Sample-Efficient Learning of Nonprehensile Manipulation Policies via
  Physics-Based Informed State Distributions
Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions
Lerrel Pinto
Aditya Mandalika
Brian Hou
S. Srinivasa
60
13
0
24 Oct 2018
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal
  Representations for Contact-Rich Tasks
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks
Michelle A. Lee
Yuke Zhu
K. Srinivasan
Parth Shah
Silvio Savarese
Li Fei-Fei
Animesh Garg
Jeannette Bohg
SSL
116
370
0
24 Oct 2018
NimbRo-OP2X: Adult-sized Open-source 3D Printed Humanoid Robot
NimbRo-OP2X: Adult-sized Open-source 3D Printed Humanoid Robot
Grzegorz Ficht
Hafez Farazi
André Brandenburger
Diego Rodriguez
D. Pavlichenko
Philipp Allgeuer
M. Hosseini
Sven Behnke
68
37
0
19 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
196
144
0
15 Oct 2018
A Data-Efficient Framework for Training and Sim-to-Real Transfer of
  Navigation Policies
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies
Homanga Bharadhwaj
Zihan Wang
Yoshua Bengio
Liam Paull
82
40
0
11 Oct 2018
Robustness via Retrying: Closed-Loop Robotic Manipulation with
  Self-Supervised Learning
Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning
F. Ebert
Sudeep Dasari
Alex X. Lee
Sergey Levine
Chelsea Finn
SSL
92
61
0
06 Oct 2018
Time Reversal as Self-Supervision
Time Reversal as Self-Supervision
Suraj Nair
Mohammad Babaeizadeh
Chelsea Finn
Sergey Levine
Vikash Kumar
SSL
98
12
0
02 Oct 2018
Learning and Planning with a Semantic Model
Learning and Planning with a Semantic Model
Yi Wu
Yuxin Wu
Aviv Tamar
Stuart J. Russell
Georgia Gkioxari
Yuandong Tian
60
17
0
28 Sep 2018
Pay attention! - Robustifying a Deep Visuomotor Policy through
  Task-Focused Attention
Pay attention! - Robustifying a Deep Visuomotor Policy through Task-Focused Attention
P. Abolghasemi
Amir Mazaheri
M. Shah
Ladislau Bölöni
AAML
75
34
0
26 Sep 2018
A Fog Robotic System for Dynamic Visual Servoing
A Fog Robotic System for Dynamic Visual Servoing
Nan Tian
Jinfa Chen
Shikui Ma
Robert Zhang
Bill Huang
Ken Goldberg
Somayeh Sojoudi
113
45
0
16 Sep 2018
Neural Task Planning with And-Or Graph Representations
Neural Task Planning with And-Or Graph Representations
Tianshui Chen
Riquan Chen
Lin Nie
Xiaonan Luo
Xiaobai Liu
Liang Lin
65
20
0
25 Aug 2018
Time-Agnostic Prediction: Predicting Predictable Video Frames
Time-Agnostic Prediction: Predicting Predictable Video Frames
Dinesh Jayaraman
F. Ebert
Alexei A. Efros
Sergey Levine
127
94
0
23 Aug 2018
Machine Learning for Spatiotemporal Sequence Forecasting: A Survey
Machine Learning for Spatiotemporal Sequence Forecasting: A Survey
Xingjian Shi
Dit-Yan Yeung
AI4TS
73
88
0
21 Aug 2018
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical
  Models
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models
Alexander Neitz
Giambattista Parascandolo
Stefan Bauer
Bernhard Schölkopf
90
38
0
14 Aug 2018
Deep Learning with Predictive Control for Human Motion Tracking
Deep Learning with Predictive Control for Human Motion Tracking
Don Joven Agravante
Giovanni De Magistris
Asim Munawar
Phongtharin Vinayavekhin
Ryuki Tachibana
16
1
0
07 Aug 2018
Robot Motion Planning in Learned Latent Spaces
Robot Motion Planning in Learned Latent Spaces
Brian Ichter
Marco Pavone
99
152
0
26 Jul 2018
Flow-Grounded Spatial-Temporal Video Prediction from Still Images
Flow-Grounded Spatial-Temporal Video Prediction from Still Images
Yijun Li
Chen Fang
Jimei Yang
Zhaowen Wang
Xin Lu
Ming-Hsuan Yang
3DH
104
138
0
25 Jul 2018
Learning Plannable Representations with Causal InfoGAN
Learning Plannable Representations with Causal InfoGAN
Thanard Kurutach
Aviv Tamar
Ge Yang
Stuart J. Russell
Pieter Abbeel
GANDRL
93
181
0
24 Jul 2018
Interpretable Latent Spaces for Learning from Demonstration
Interpretable Latent Spaces for Learning from Demonstration
Yordan V. Hristov
A. Lascarides
S. Ramamoorthy
66
24
0
17 Jul 2018
Visual Reinforcement Learning with Imagined Goals
Visual Reinforcement Learning with Imagined Goals
Ashvin Nair
Vitchyr H. Pong
Murtaza Dalal
Shikhar Bahl
Steven Lin
Sergey Levine
SSL
123
544
0
12 Jul 2018
The Bottleneck Simulator: A Model-based Deep Reinforcement Learning
  Approach
The Bottleneck Simulator: A Model-based Deep Reinforcement Learning Approach
Iulian Serban
Chinnadhurai Sankar
Michael Pieper
Joelle Pineau
Yoshua Bengio
OffRL
101
29
0
12 Jul 2018
Learning what you can do before doing anything
Learning what you can do before doing anything
Oleh Rybkin
Karl Pertsch
Konstantinos G. Derpanis
Kostas Daniilidis
Andrew Jaegle
SSL
71
23
0
25 Jun 2018
Dense Object Nets: Learning Dense Visual Object Descriptors By and For
  Robotic Manipulation
Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation
Peter R. Florence
Lucas Manuelli
Russ Tedrake
SSL
146
280
0
22 Jun 2018
Learning Instance Segmentation by Interaction
Learning Instance Segmentation by Interaction
Deepak Pathak
Yide Shentu
Dian Chen
Pulkit Agrawal
Trevor Darrell
Sergey Levine
Jitendra Malik
71
45
0
21 Jun 2018
Unsupervised Meta-Learning for Reinforcement Learning
Unsupervised Meta-Learning for Reinforcement Learning
Abhishek Gupta
Benjamin Eysenbach
Chelsea Finn
Sergey Levine
SSLOffRL
140
107
0
12 Jun 2018
Fast Exploration with Simplified Models and Approximately Optimistic
  Planning in Model Based Reinforcement Learning
Fast Exploration with Simplified Models and Approximately Optimistic Planning in Model Based Reinforcement Learning
Ramtin Keramati
Jay Whang
Patrick Cho
Emma Brunskill
OffRL
105
7
0
01 Jun 2018
Object-Oriented Dynamics Predictor
Object-Oriented Dynamics Predictor
Guangxiang Zhu
Zhiao Huang
Chongjie Zhang
AI4CE
98
35
0
25 May 2018
Previous
123...10789
Next