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Dream to Control: Learning Behaviors by Latent Imagination

Dream to Control: Learning Behaviors by Latent Imagination

3 December 2019
Danijar Hafner
Timothy Lillicrap
Jimmy Ba
Mohammad Norouzi
    VLM
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Papers citing "Dream to Control: Learning Behaviors by Latent Imagination"

50 / 308 papers shown
Title
Planning with Learned Dynamic Model for Unsupervised Point Cloud
  Registration
Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration
Haobo Jiang
Jin Xie
J. Qian
Jian Yang
3DPC
29
10
0
05 Aug 2021
High Performance Across Two Atari Paddle Games Using the Same Perceptual
  Control Architecture Without Training
High Performance Across Two Atari Paddle Games Using the Same Perceptual Control Architecture Without Training
T. Gulrez
W. Mansell
16
0
0
04 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
31
38
0
31 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
36
337
0
20 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
28
49
0
16 Jul 2021
CoBERL: Contrastive BERT for Reinforcement Learning
CoBERL: Contrastive BERT for Reinforcement Learning
Andrea Banino
Adria Puidomenech Badia
Jacob Walker
Tim Scholtes
Jovana Mitrović
Charles Blundell
OffRL
32
36
0
12 Jul 2021
Backprop-Free Reinforcement Learning with Active Neural Generative
  Coding
Backprop-Free Reinforcement Learning with Active Neural Generative Coding
Alexander Ororbia
A. Mali
41
15
0
10 Jul 2021
Learning Vision-Guided Quadrupedal Locomotion End-to-End with
  Cross-Modal Transformers
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers
Ruihan Yang
Minghao Zhang
Nicklas Hansen
Huazhe Xu
Xiaolong Wang
OffRL
18
102
0
08 Jul 2021
RRL: Resnet as representation for Reinforcement Learning
RRL: Resnet as representation for Reinforcement Learning
Rutav Shah
Vikash Kumar
OffRL
33
111
0
07 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
33
20
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
26
134
0
01 Jul 2021
MHER: Model-based Hindsight Experience Replay
MHER: Model-based Hindsight Experience Replay
Rui Yang
Meng Fang
Lei Han
Yali Du
Feng Luo
Xiu Li
OffRL
21
17
0
01 Jul 2021
Applications of the Free Energy Principle to Machine Learning and
  Neuroscience
Applications of the Free Energy Principle to Machine Learning and Neuroscience
Beren Millidge
DRL
20
7
0
30 Jun 2021
Learning Task Informed Abstractions
Learning Task Informed Abstractions
Xiang Fu
Ge Yang
Pulkit Agrawal
Tommi Jaakkola
20
65
0
29 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
27
29
0
16 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
19
56
0
14 Jun 2021
Learning Markov State Abstractions for Deep Reinforcement Learning
Learning Markov State Abstractions for Deep Reinforcement Learning
Cameron Allen
Neev Parikh
Omer Gottesman
George Konidaris
BDL
OffRL
31
36
0
08 Jun 2021
Exploration and preference satisfaction trade-off in reward-free
  learning
Exploration and preference satisfaction trade-off in reward-free learning
Noor Sajid
P. Tigas
Alexey Zakharov
Z. Fountas
Karl J. Friston
22
20
0
08 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for
  Reinforcement Learning
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
Tao Yu
Cuiling Lan
Wenjun Zeng
Mingxiao Feng
Zhizheng Zhang
Zhibo Chen
OffRL
20
46
0
08 Jun 2021
NeRF-VAE: A Geometry Aware 3D Scene Generative Model
NeRF-VAE: A Geometry Aware 3D Scene Generative Model
Adam R. Kosiorek
Heiko Strathmann
Daniel Zoran
Pol Moreno
R. Schneider
Sovna Mokrá
Danilo Jimenez Rezende
DRL
29
139
0
01 Apr 2021
Fundamental Challenges in Deep Learning for Stiff Contact Dynamics
Fundamental Challenges in Deep Learning for Stiff Contact Dynamics
Mihir Parmar
Mathew Halm
Michael Posa
29
36
0
29 Mar 2021
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive
  Learning
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning
Yunbo Wang
Haixu Wu
Jianjin Zhang
Zhifeng Gao
Jianmin Wang
Philip S. Yu
Mingsheng Long
19
378
0
17 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with
  Curiosity Contrastive Forward Dynamics Model
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model
Thanh Nguyen
Tung M. Luu
Thang Vu
Chang D. Yoo
23
17
0
15 Mar 2021
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive
  Architectures for Developmental Robots
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots
T. Taniguchi
Hiroshi Yamakawa
Takayuki Nagai
Kenji Doya
M. Sakagami
Masahiro Suzuki
Tomoaki Nakamura
Akira Taniguchi
28
23
0
15 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs,
  Normalizing Flows, Energy-Based and Autoregressive Models
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
41
481
0
08 Mar 2021
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
Axel Brunnbauer
Luigi Berducci
Andreas Brandstätter
Mathias Lechner
Ramin Hasani
Daniela Rus
Radu Grosu
LM&Ro
38
37
0
08 Mar 2021
Unsupervised Object-Based Transition Models for 3D Partially Observable
  Environments
Unsupervised Object-Based Transition Models for 3D Partially Observable Environments
Antonia Creswell
Rishabh Kabra
Christopher P. Burgess
Murray Shanahan
OCL
30
29
0
08 Mar 2021
Foresee then Evaluate: Decomposing Value Estimation with Latent Future
  Prediction
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction
Hongyao Tang
Jianye Hao
Guangyong Chen
Pengfei Chen
Cheng Chen
Yaodong Yang
Lu Zhang
Wulong Liu
Zhaopeng Meng
OffRL
35
4
0
03 Mar 2021
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning
Victor Campos
Pablo Sprechmann
Steven Hansen
André Barreto
Steven Kapturowski
Alex Vitvitskyi
Adria Puigdomenech Badia
Charles Blundell
OffRL
OnRL
38
25
0
24 Feb 2021
Return-Based Contrastive Representation Learning for Reinforcement
  Learning
Return-Based Contrastive Representation Learning for Reinforcement Learning
Guoqing Liu
Chuheng Zhang
Li Zhao
Tao Qin
Jinhua Zhu
Jian Li
Nenghai Yu
Tie-Yan Liu
SSL
OffRL
16
47
0
22 Feb 2021
Context-Aware Safe Reinforcement Learning for Non-Stationary
  Environments
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments
Baiming Chen
Zuxin Liu
Jiacheng Zhu
Mengdi Xu
Wenhao Ding
Ding Zhao
25
35
0
02 Jan 2021
Deep Learning and the Global Workspace Theory
Deep Learning and the Global Workspace Theory
R. V. Rullen
Ryota Kanai
45
65
0
04 Dec 2020
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
Eric Liang
Zhanghao Wu
Michael Luo
Sven Mika
Joseph E. Gonzalez
Ion Stoica
AI4CE
23
9
0
25 Nov 2020
What About Inputing Policy in Value Function: Policy Representation and
  Policy-extended Value Function Approximator
What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator
Hongyao Tang
Zhaopeng Meng
Jianye Hao
Cheng Chen
D. Graves
...
Hangyu Mao
Wulong Liu
Yaodong Yang
Wenyuan Tao
Li Wang
OffRL
14
7
0
19 Oct 2020
Masked Contrastive Representation Learning for Reinforcement Learning
Masked Contrastive Representation Learning for Reinforcement Learning
Jinhua Zhu
Yingce Xia
Lijun Wu
Jiajun Deng
Wen-gang Zhou
Tao Qin
Houqiang Li
SSL
OffRL
34
55
0
15 Oct 2020
Smaller World Models for Reinforcement Learning
Smaller World Models for Reinforcement Learning
Jan Robine
Tobias Uelwer
Stefan Harmeling
DRL
25
3
0
12 Oct 2020
EpidemiOptim: A Toolbox for the Optimization of Control Policies in
  Epidemiological Models
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models
Cédric Colas
B. Hejblum
S. Rouillon
R. Thiébaut
Pierre-Yves Oudeyer
Clément Moulin-Frier
M. Prague
15
22
0
09 Oct 2020
Mastering Atari with Discrete World Models
Mastering Atari with Discrete World Models
Danijar Hafner
Timothy Lillicrap
Mohammad Norouzi
Jimmy Ba
DRL
48
814
0
05 Oct 2020
Continual Model-Based Reinforcement Learning with Hypernetworks
Continual Model-Based Reinforcement Learning with Hypernetworks
Yizhou Huang
Kevin Xie
Homanga Bharadhwaj
Florian Shkurti
CLL
22
46
0
25 Sep 2020
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning
Junjie Wang
Qichao Zhang
Dongbin Zhao
Mengchen Zhao
Jianye Hao
OffRL
6
5
0
21 Sep 2020
Dynamic Future Net: Diversified Human Motion Generation
Dynamic Future Net: Diversified Human Motion Generation
Wenheng Chen
He Wang
Yi Yuan
Tianjia Shao
Kun Zhou
3DH
35
22
0
25 Aug 2020
Assisted Perception: Optimizing Observations to Communicate State
Assisted Perception: Optimizing Observations to Communicate State
S. Reddy
Sergey Levine
Anca Dragan
19
15
0
06 Aug 2020
Maximum Mutation Reinforcement Learning for Scalable Control
Maximum Mutation Reinforcement Learning for Scalable Control
Karush Suri
Xiaolong Shi
Konstantinos N. Plataniotis
Y. Lawryshyn
25
4
0
24 Jul 2020
Predictive Information Accelerates Learning in RL
Predictive Information Accelerates Learning in RL
Kuang-Huei Lee
Ian S. Fischer
Anthony Z. Liu
Yijie Guo
Honglak Lee
John F. Canny
S. Guadarrama
23
72
0
24 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep
  Reinforcement Learning
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Kimin Lee
Michael Laskin
A. Srinivas
Pieter Abbeel
OffRL
25
199
0
09 Jul 2020
Control-Aware Representations for Model-based Reinforcement Learning
Control-Aware Representations for Model-based Reinforcement Learning
Brandon Cui
Yinlam Chow
Mohammad Ghavamzadeh
BDL
11
13
0
24 Jun 2020
Deep Reinforcement and InfoMax Learning
Deep Reinforcement and InfoMax Learning
Bogdan Mazoure
Rémi Tachet des Combes
T. Doan
Philip Bachman
R. Devon Hjelm
AI4CE
25
108
0
12 Jun 2020
SAMBA: Safe Model-Based & Active Reinforcement Learning
SAMBA: Safe Model-Based & Active Reinforcement Learning
Alexander I. Cowen-Rivers
Daniel Palenicek
Vincent Moens
Mohammed Abdullah
Aivar Sootla
Jun Wang
Haitham Bou-Ammar
21
44
0
12 Jun 2020
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals
Henry Charlesworth
Giovanni Montana
OffRL
29
24
0
01 Jun 2020
Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement
  Learning: An In Silico Validation
Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement Learning: An In Silico Validation
Taiyu Zhu
Kezhi Li
P. Herrero
Pantelis Georgiou
24
79
0
18 May 2020
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