Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1912.01603
Cited By
Dream to Control: Learning Behaviors by Latent Imagination
3 December 2019
Danijar Hafner
Timothy Lillicrap
Jimmy Ba
Mohammad Norouzi
VLM
Re-assign community
ArXiv
PDF
HTML
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
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
T. Gulrez
W. Mansell
16
0
0
04 Aug 2021
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
Denis Yarats
Rob Fergus
A. Lazaric
Lerrel Pinto
OffRL
36
337
0
20 Jul 2021
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
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
Alexander Ororbia
A. Mali
41
15
0
10 Jul 2021
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
Rutav Shah
Vikash Kumar
OffRL
33
111
0
07 Jul 2021
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
Nicklas Hansen
H. Su
Xiaolong Wang
OffRL
26
134
0
01 Jul 2021
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
Beren Millidge
DRL
20
7
0
30 Jun 2021
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
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
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
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
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
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
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
Mihir Parmar
Mathew Halm
Michael Posa
29
36
0
29 Mar 2021
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
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
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
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
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
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
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
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
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
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
R. V. Rullen
Ryota Kanai
45
65
0
04 Dec 2020
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
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
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
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
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
Danijar Hafner
Timothy Lillicrap
Mohammad Norouzi
Jimmy Ba
DRL
48
814
0
05 Oct 2020
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
Junjie Wang
Qichao Zhang
Dongbin Zhao
Mengchen Zhao
Jianye Hao
OffRL
6
5
0
21 Sep 2020
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
S. Reddy
Sergey Levine
Anca Dragan
19
15
0
06 Aug 2020
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
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
Kimin Lee
Michael Laskin
A. Srinivas
Pieter Abbeel
OffRL
25
199
0
09 Jul 2020
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
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
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
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
Taiyu Zhu
Kezhi Li
P. Herrero
Pantelis Georgiou
24
79
0
18 May 2020
Previous
1
2
3
4
5
6
7
Next