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Learning Latent Dynamics for Planning from Pixels
v1v2v3v4v5 (latest)

Learning Latent Dynamics for Planning from Pixels

12 November 2018
Danijar Hafner
Timothy Lillicrap
Ian S. Fischer
Ruben Villegas
David R Ha
Honglak Lee
James Davidson
    BDL
ArXiv (abs)PDFHTML

Papers citing "Learning Latent Dynamics for Planning from Pixels"

50 / 994 papers shown
Title
Imaginary Hindsight Experience Replay: Curious Model-based Learning for
  Sparse Reward Tasks
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks
Robert McCarthy
Qiang Wang
S. Redmond
OffRL
51
15
0
05 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics
  Models
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models
M. Lutter
Jan Peters
PINNAI4CE
97
42
0
05 Oct 2021
Procedure Planning in Instructional Videos via Contextual Modeling and
  Model-based Policy Learning
Procedure Planning in Instructional Videos via Contextual Modeling and Model-based Policy Learning
Jing Bi
Jiebo Luo
Chenliang Xu
124
49
0
05 Oct 2021
Cycle-Consistent World Models for Domain Independent Latent Imagination
Cycle-Consistent World Models for Domain Independent Latent Imagination
Sidney Bender
Tim Joseph
Marius Zoellner
50
0
0
02 Oct 2021
Seeking Visual Discomfort: Curiosity-driven Representations for
  Reinforcement Learning
Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning
Elie Aljalbout
Maximilian Ulmer
Rudolph Triebel
68
2
0
02 Oct 2021
Learning Dynamics Models for Model Predictive Agents
Learning Dynamics Models for Model Predictive Agents
M. Lutter
Leonard Hasenclever
Arunkumar Byravan
Gabriel Dulac-Arnold
Piotr Trochim
N. Heess
J. Merel
Yuval Tassa
AI4CE
114
28
0
29 Sep 2021
Exploratory State Representation Learning
Exploratory State Representation Learning
Astrid Merckling
Nicolas Perrin-Gilbert
Alexandre Coninx
Stéphane Doncieux
OffRL
70
6
0
28 Sep 2021
Making Curiosity Explicit in Vision-based RL
Making Curiosity Explicit in Vision-based RL
Elie Aljalbout
Maximilian Ulmer
Rudolph Triebel
OffRL
56
2
0
28 Sep 2021
Example-Driven Model-Based Reinforcement Learning for Solving
  Long-Horizon Visuomotor Tasks
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks
Bohan Wu
Suraj Nair
Li Fei-Fei
Chelsea Finn
OffRLLM&Ro
158
24
0
21 Sep 2021
Dropout's Dream Land: Generalization from Learned Simulators to Reality
Dropout's Dream Land: Generalization from Learned Simulators to Reality
Zac Wellmer
James T. Kwok
SyDa
69
9
0
17 Sep 2021
Dynamics-Aware Quality-Diversity for Efficient Learning of Skill
  Repertoires
Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires
Bryan Lim
Luca Grillotti
Lorenzo Bernasconi
Antoine Cully
120
28
0
16 Sep 2021
DROMO: Distributionally Robust Offline Model-based Policy Optimization
DROMO: Distributionally Robust Offline Model-based Policy Optimization
Ruizhen Liu
Dazhi Zhong
Zhi-Cong Chen
OffRL
53
3
0
15 Sep 2021
Comparing Reconstruction- and Contrastive-based Models for Visual Task
  Planning
Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning
Constantinos Chamzas
M. Lippi
Michael C. Welle
Anastasia Varava
Lydia E. Kavraki
Danica Kragic
SSLDRLOffRL
86
4
0
14 Sep 2021
Sampling Network Guided Cross-Entropy Method for Unsupervised Point
  Cloud Registration
Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration
Qianliang Wu
Yaqi Shen
Jin Xie
Jun Li
J. Qian
Jian Yang
3DPC
91
39
0
14 Sep 2021
PlaTe: Visually-Grounded Planning with Transformers in Procedural Tasks
PlaTe: Visually-Grounded Planning with Transformers in Procedural Tasks
Jiankai Sun
De-An Huang
Bo Lu
Yunhui Liu
Bolei Zhou
Animesh Garg
63
56
0
10 Sep 2021
The Sensory Neuron as a Transformer: Permutation-Invariant Neural
  Networks for Reinforcement Learning
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning
Yujin Tang
David R Ha
104
77
0
07 Sep 2021
Disentangled Generative Models for Robust Prediction of System Dynamics
Disentangled Generative Models for Robust Prediction of System Dynamics
Stathi Fotiadis
Mario Lino Valencia
Shunlong Hu
Stef Garasto
C. Cantwell
Anil Anthony Bharath
DRLOODCML
79
10
0
26 Aug 2021
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter
Hanbo Zhang
Yunfan Lu
Cunjun Yu
David Hsu
Xuguang Lan
Nanning Zheng
LM&Ro
98
66
0
25 Aug 2021
Fractional Transfer Learning for Deep Model-Based Reinforcement Learning
Fractional Transfer Learning for Deep Model-Based Reinforcement Learning
Remo Sasso
M. Sabatelli
M. Wiering
CLLOffRL
74
7
0
14 Aug 2021
Mapless Humanoid Navigation Using Learned Latent Dynamics
Mapless Humanoid Navigation Using Learned Latent Dynamics
André Brandenburger
Diego Rodriguez
Sven Behnke
104
1
0
09 Aug 2021
Towards real-world navigation with deep differentiable planners
Towards real-world navigation with deep differentiable planners
Shu Ishida
João F. Henriques
OffRL
36
6
0
08 Aug 2021
Planning with Learned Dynamic Model for Unsupervised Point Cloud
  Registration
Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration
Qianliang Wu
Jin Xie
J. Qian
Jian Yang
3DPC
63
10
0
05 Aug 2021
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for
  Dynamic Control
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control
Xin-Yang Liu
Jian-Xun Wang
AI4CE
95
40
0
31 Jul 2021
Pixyz: a Python library for developing deep generative models
Pixyz: a Python library for developing deep generative models
Masahiro Suzuki
T. Kaneko
Y. Matsuo
AI4CE
74
3
0
28 Jul 2021
Reinforced Imitation Learning by Free Energy Principle
Reinforced Imitation Learning by Free Energy Principle
Ryoya Ogishima
Izumi Karino
Yasuo Kuniyoshi
43
0
0
25 Jul 2021
Mastering Visual Continuous Control: Improved Data-Augmented
  Reinforcement Learning
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning
Denis Yarats
Rob Fergus
A. Lazaric
Lerrel Pinto
OffRL
118
351
0
20 Jul 2021
SENSORIMOTOR GRAPH: Action-Conditioned Graph Neural Network for Learning
  Robotic Soft Hand Dynamics
SENSORIMOTOR GRAPH: Action-Conditioned Graph Neural Network for Learning Robotic Soft Hand Dynamics
Joao Damiao Almeida
Paul Schydlo
Atabak Dehban
J. Santos-Victor
46
6
0
18 Jul 2021
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement
  Learning
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning
Peide Cai
Hengli Wang
Huaiyang Huang
Yuxuan Liu
Ming-Yuan Liu
51
66
0
18 Jul 2021
High-Accuracy Model-Based Reinforcement Learning, a Survey
High-Accuracy Model-Based Reinforcement Learning, a Survey
Aske Plaat
W. Kosters
Mike Preuss
OffRL
75
37
0
17 Jul 2021
Visual Adversarial Imitation Learning using Variational Models
Visual Adversarial Imitation Learning using Variational Models
Rafael Rafailov
Tianhe Yu
Aravind Rajeswaran
Chelsea Finn
SSL
116
50
0
16 Jul 2021
Backprop-Free Reinforcement Learning with Active Neural Generative
  Coding
Backprop-Free Reinforcement Learning with Active Neural Generative Coding
Alexander Ororbia
A. Mali
92
17
0
10 Jul 2021
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of
  Sparse Reward Iterative Tasks
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks
Albert Wilcox
Ashwin Balakrishna
Brijen Thananjeyan
Joseph E. Gonzalez
Ken Goldberg
95
12
0
10 Jul 2021
3D Neural Scene Representations for Visuomotor Control
3D Neural Scene Representations for Visuomotor Control
Yunzhu Li
Shuang Li
Vincent Sitzmann
Pulkit Agrawal
Antonio Torralba
119
141
0
08 Jul 2021
Imitation by Predicting Observations
Imitation by Predicting Observations
Andrew Jaegle
Yury Sulsky
Arun Ahuja
Jake Bruce
Rob Fergus
Greg Wayne
36
12
0
08 Jul 2021
RRL: Resnet as representation for Reinforcement Learning
RRL: Resnet as representation for Reinforcement Learning
Rutav Shah
Vikash Kumar
OffRL
107
115
0
07 Jul 2021
Learning a Generative Transition Model for Uncertainty-Aware Robotic
  Manipulation
Learning a Generative Transition Model for Uncertainty-Aware Robotic Manipulation
Lars Berscheid
Pascal Meissner
Torsten Kröger
24
2
0
06 Jul 2021
Multi-Modal Mutual Information (MuMMI) Training for Robust
  Self-Supervised Deep Reinforcement Learning
Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement Learning
Kaiqi Chen
Yong Lee
Harold Soh
SSL
115
21
0
06 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under
  Data Augmentation
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation
Nicklas Hansen
H. Su
Xiaolong Wang
OffRL
108
136
0
01 Jul 2021
Learning Task Informed Abstractions
Learning Task Informed Abstractions
Xiang Fu
Ge Yang
Pulkit Agrawal
Tommi Jaakkola
103
69
0
29 Jun 2021
Predictive Control Using Learned State Space Models via Rolling Horizon
  Evolution
Predictive Control Using Learned State Space Models via Rolling Horizon Evolution
Alvaro Ovalle
Simon Lucas
23
0
0
25 Jun 2021
Model-Based Reinforcement Learning via Latent-Space Collocation
Model-Based Reinforcement Learning via Latent-Space Collocation
Oleh Rybkin
Chuning Zhu
Anusha Nagabandi
Kostas Daniilidis
Igor Mordatch
Sergey Levine
OffRL
73
38
0
24 Jun 2021
FitVid: Overfitting in Pixel-Level Video Prediction
FitVid: Overfitting in Pixel-Level Video Prediction
Mohammad Babaeizadeh
M. Saffar
Suraj Nair
Sergey Levine
Chelsea Finn
D. Erhan
VLM
107
84
0
24 Jun 2021
Learning Space Partitions for Path Planning
Learning Space Partitions for Path Planning
Kevin Kaichuang Yang
Tianjun Zhang
Chris Cummins
Brandon Cui
Benoit Steiner
Linnan Wang
Joseph E. Gonzalez
Dan Klein
Yuandong Tian
79
11
0
19 Jun 2021
Behavioral Priors and Dynamics Models: Improving Performance and Domain
  Transfer in Offline RL
Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL
Catherine Cang
Aravind Rajeswaran
Pieter Abbeel
Michael Laskin
OffRL
70
30
0
16 Jun 2021
Latent Representation in Human-Robot Interaction with Explicit
  Consideration of Periodic Dynamics
Latent Representation in Human-Robot Interaction with Explicit Consideration of Periodic Dynamics
Taisuke Kobayashi
Shingo Murata
T. Inamura
DRL
51
7
0
16 Jun 2021
Deep Reinforcement Learning for Conservation Decisions
Deep Reinforcement Learning for Conservation Decisions
Marcus Lapeyrolerie
Melissa S. Chapman
Kari E. A. Norman
C. Boettiger
OffRL
122
18
0
15 Jun 2021
Learning of feature points without additional supervision improves
  reinforcement learning from images
Learning of feature points without additional supervision improves reinforcement learning from images
Rinu Boney
Alexander Ilin
Arno Solin
SSL
27
3
0
15 Jun 2021
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
75
39
0
14 Jun 2021
Temporal Predictive Coding For Model-Based Planning In Latent Space
Temporal Predictive Coding For Model-Based Planning In Latent Space
Tung D. Nguyen
Rui Shu
Tu Pham
Hung Bui
Stefano Ermon
OffRL
96
59
0
14 Jun 2021
Differentiable Robust LQR Layers
Differentiable Robust LQR Layers
Ngo Anh Vien
Gerhard Neumann
33
4
0
10 Jun 2021
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