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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 / 306 papers shown
Title
Solving Continuous Control via Q-learning
Solving Continuous Control via Q-learning
Tim Seyde
Peter Werner
Wilko Schwarting
Igor Gilitschenski
Martin Riedmiller
Daniela Rus
Markus Wulfmeier
OffRL
LRM
35
22
0
22 Oct 2022
Sample Efficient Robot Learning with Structured World Models
Sample Efficient Robot Learning with Structured World Models
T. Akbulut
Max Merlin
Shane Parr
Benedict Quartey
Skye Thompson
21
0
0
21 Oct 2022
Learning Robust Dynamics through Variational Sparse Gating
Learning Robust Dynamics through Variational Sparse Gating
A. Jain
Shivakanth Sujit
S. Joshi
Vincent Michalski
Danijar Hafner
Samira Ebrahimi Kahou
27
8
0
21 Oct 2022
Model-based Lifelong Reinforcement Learning with Bayesian Exploration
Model-based Lifelong Reinforcement Learning with Bayesian Exploration
Haotian Fu
Shangqun Yu
Michael Littman
George Konidaris
BDL
OffRL
21
12
0
20 Oct 2022
Safe Policy Improvement in Constrained Markov Decision Processes
Safe Policy Improvement in Constrained Markov Decision Processes
Luigi Berducci
Radu Grosu
OffRL
36
2
0
20 Oct 2022
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement
  Learning
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
Yifan Xu
Nicklas Hansen
Zirui Wang
Yung-Chieh Chan
H. Su
Z. Tu
OffRL
31
15
0
19 Oct 2022
Transformers Learn Shortcuts to Automata
Transformers Learn Shortcuts to Automata
Bingbin Liu
Jordan T. Ash
Surbhi Goel
A. Krishnamurthy
Cyril Zhang
OffRL
LRM
46
156
0
19 Oct 2022
Planning for Sample Efficient Imitation Learning
Planning for Sample Efficient Imitation Learning
Zhao-Heng Yin
Weirui Ye
Qifeng Chen
Yang Gao
OffRL
31
21
0
18 Oct 2022
On Uncertainty in Deep State Space Models for Model-Based Reinforcement
  Learning
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning
P. Becker
Gerhard Neumann
30
9
0
17 Oct 2022
Visual Reinforcement Learning with Self-Supervised 3D Representations
Visual Reinforcement Learning with Self-Supervised 3D Representations
Yanjie Ze
Nicklas Hansen
Yinbo Chen
Mohit Jain
Xiaolong Wang
SSL
30
49
0
13 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement
  Learning
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning
Guozheng Ma
Zhen Wang
Zhecheng Yuan
Xueqian Wang
Bo Yuan
Dacheng Tao
OffRL
38
26
0
10 Oct 2022
DreamShard: Generalizable Embedding Table Placement for Recommender
  Systems
DreamShard: Generalizable Embedding Table Placement for Recommender Systems
Daochen Zha
Louis Feng
Qiaoyu Tan
Zirui Liu
Kwei-Herng Lai
Bhargav Bhushanam
Yuandong Tian
A. Kejariwal
Xia Hu
LMTD
OffRL
30
28
0
05 Oct 2022
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline
  Reinforcement Learning
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning
Daesol Cho
D. Shim
H. J. Kim
OffRL
42
11
0
30 Sep 2022
Hyperbolic VAE via Latent Gaussian Distributions
Hyperbolic VAE via Latent Gaussian Distributions
Seunghyuk Cho
Juyong Lee
Dongwoo Kim
DRL
52
5
0
30 Sep 2022
Learning Parsimonious Dynamics for Generalization in Reinforcement
  Learning
Learning Parsimonious Dynamics for Generalization in Reinforcement Learning
Tankred Saanum
Eric Schulz
26
1
0
29 Sep 2022
T3VIP: Transformation-based 3D Video Prediction
T3VIP: Transformation-based 3D Video Prediction
Iman Nematollahi
Erick Rosete-Beas
Seyed Mahdi B. Azad
Raghunandan Rajan
Frank Hutter
Wolfram Burgard
VGen
65
1
0
19 Sep 2022
Learning Policies for Continuous Control via Transition Models
Learning Policies for Continuous Control via Transition Models
Justus F. Huebotter
Serge Thill
Marcel van Gerven
Pablo Lanillos
29
2
0
16 Sep 2022
Towards A Unified Policy Abstraction Theory and Representation Learning
  Approach in Markov Decision Processes
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes
Hao Fei
Hongyao Tang
Jianye Hao
Yan Zheng
OffRL
28
0
0
16 Sep 2022
Continuous MDP Homomorphisms and Homomorphic Policy Gradient
Continuous MDP Homomorphisms and Homomorphic Policy Gradient
S. Rezaei-Shoshtari
Rosie Zhao
Prakash Panangaden
D. Meger
Doina Precup
33
18
0
15 Sep 2022
Augmenting Reinforcement Learning with Transformer-based Scene
  Representation Learning for Decision-making of Autonomous Driving
Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving
Haochen Liu
Zhiyu Huang
Xiaoyu Mo
Chen Lv
ViT
OffRL
35
33
0
24 Aug 2022
Spectral Decomposition Representation for Reinforcement Learning
Spectral Decomposition Representation for Reinforcement Learning
Tongzheng Ren
Tianjun Zhang
Lisa Lee
Joseph E. Gonzalez
Dale Schuurmans
Bo Dai
OffRL
40
27
0
19 Aug 2022
Sparse Representation Learning with Modified q-VAE towards Minimal
  Realization of World Model
Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model
Taisuke Kobayashi
Ryoma Watanuki
DRL
29
6
0
08 Aug 2022
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning
  in Online Reinforcement Learning
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning
Shuang Qiu
Lingxiao Wang
Chenjia Bai
Zhuoran Yang
Zhaoran Wang
SSL
OffRL
26
32
0
29 Jul 2022
EgoEnv: Human-centric environment representations from egocentric video
EgoEnv: Human-centric environment representations from egocentric video
Tushar Nagarajan
Santhosh Kumar Ramakrishnan
Ruta Desai
James M. Hillis
Kristen Grauman
EgoV
38
19
0
22 Jul 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels
Edoardo Cetin
Philip J. Ball
Steve Roberts
Oya Celiktutan
30
36
0
03 Jul 2022
Masked World Models for Visual Control
Masked World Models for Visual Control
Younggyo Seo
Danijar Hafner
Hao Liu
Fangchen Liu
Stephen James
Kimin Lee
Pieter Abbeel
OffRL
93
147
0
28 Jun 2022
DayDreamer: World Models for Physical Robot Learning
DayDreamer: World Models for Physical Robot Learning
Philipp Wu
Alejandro Escontrela
Danijar Hafner
Ken Goldberg
Pieter Abbeel
61
277
0
28 Jun 2022
C-SENN: Contrastive Self-Explaining Neural Network
C-SENN: Contrastive Self-Explaining Neural Network
Yoshihide Sawada
Keigo Nakamura
SSL
16
8
0
20 Jun 2022
A Survey on Model-based Reinforcement Learning
A Survey on Model-based Reinforcement Learning
Fan Luo
Tian Xu
Hang Lai
Xiong-Hui Chen
Weinan Zhang
Yang Yu
OffRL
LRM
50
101
0
19 Jun 2022
BYOL-Explore: Exploration by Bootstrapped Prediction
BYOL-Explore: Exploration by Bootstrapped Prediction
Z. Guo
S. Thakoor
Miruna Pislar
Bernardo Avila-Pires
Florent Altché
...
Yunhao Tang
Michal Valko
Rémi Munos
M. G. Azar
Bilal Piot
22
68
0
16 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Benjamin Eysenbach
Tianjun Zhang
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
28
140
0
15 Jun 2022
Imitation Learning via Differentiable Physics
Imitation Learning via Differentiable Physics
Siwei Chen
Xiao Ma
Zhongwen Xu
PINN
AI4CE
24
4
0
10 Jun 2022
Challenges and Opportunities in Offline Reinforcement Learning from
  Visual Observations
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
Cong Lu
Philip J. Ball
Tim G. J. Rudner
Jack Parker-Holder
Michael A. Osborne
Yee Whye Teh
OffRL
32
52
0
09 Jun 2022
Integrating Symmetry into Differentiable Planning with Steerable
  Convolutions
Integrating Symmetry into Differentiable Planning with Steerable Convolutions
Linfeng Zhao
Xu Zhu
Lingzhi Kong
Robin Walters
Lawson L. S. Wong
22
7
0
08 Jun 2022
Multi-Source Transfer Learning for Deep Model-Based Reinforcement
  Learning
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning
Remo Sasso
M. Sabatelli
M. Wiering
49
9
0
28 May 2022
Flow-based Recurrent Belief State Learning for POMDPs
Flow-based Recurrent Belief State Learning for POMDPs
Xiaoyu Chen
Yao Mu
Ping Luo
Sheng Li
Jianyu Chen
43
18
0
23 May 2022
Offline Policy Comparison with Confidence: Benchmarks and Baselines
Offline Policy Comparison with Confidence: Benchmarks and Baselines
Anurag Koul
Mariano Phielipp
Alan Fern
OffRL
28
0
0
22 May 2022
The developmental trajectory of object recognition robustness: children
  are like small adults but unlike big deep neural networks
The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks
Lukas Huber
Robert Geirhos
Felix Wichmann
56
16
0
20 May 2022
Neighborhood Mixup Experience Replay: Local Convex Interpolation for
  Improved Sample Efficiency in Continuous Control Tasks
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks
Ryan M Sander
Wilko Schwarting
Tim Seyde
Igor Gilitschenski
S. Karaman
Daniela Rus
41
2
0
18 May 2022
Interactive Grounded Language Understanding in a Collaborative
  Environment: IGLU 2021
Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021
Julia Kiseleva
Ziming Li
Mohammad Aliannejadi
Shrestha Mohanty
Maartje ter Hoeve
...
I. Churin
Putra Manggala
Kata Naszádi
Michiel van der Meer
Taewoon Kim
LLMAG
33
30
0
05 May 2022
CCLF: A Contrastive-Curiosity-Driven Learning Framework for
  Sample-Efficient Reinforcement Learning
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning
Chenyu Sun
Hangwei Qian
Chunyan Miao
OffRL
29
12
0
02 May 2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent
  Reinforcement Learning
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Dapeng Li
Bin Zhang
Yuan Zhan
Yunru Bai
Guoliang Fan
OffRL
27
6
0
20 Apr 2022
Evaluating Vision Transformer Methods for Deep Reinforcement Learning
  from Pixels
Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels
Tianxin Tao
Daniele Reda
M. van de Panne
ViT
11
19
0
11 Apr 2022
Gradient-Based Trajectory Optimization With Learned Dynamics
Gradient-Based Trajectory Optimization With Learned Dynamics
Bhavya Sukhija
Nathanael Kohler
Miguel Zamora
Simon Zimmermann
Sebastian Curi
Andreas Krause
Stelian Coros
30
9
0
09 Apr 2022
Deep Interactive Motion Prediction and Planning: Playing Games with
  Motion Prediction Models
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models
J. Vázquez
Alexander Liniger
Wilko Schwarting
Daniela Rus
Luc Van Gool
24
45
0
05 Apr 2022
Learning List-wise Representation in Reinforcement Learning for Ads
  Allocation with Multiple Auxiliary Tasks
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks
Zehua Wang
Guogang Liao
Xiaowen Shi
Xiaoxu Wu
Chuheng Zhang
Yongkang Wang
Xingxing Wang
Dong Wang
OffRL
19
4
0
02 Apr 2022
Reinforcement Learning with Action-Free Pre-Training from Videos
Reinforcement Learning with Action-Free Pre-Training from Videos
Younggyo Seo
Kimin Lee
Stephen James
Pieter Abbeel
SSL
OnRL
18
118
0
25 Mar 2022
Multi-View Dreaming: Multi-View World Model with Contrastive Learning
Multi-View Dreaming: Multi-View World Model with Contrastive Learning
Akira Kinose
Masashi Okada
Ryogo Okumura
T. Taniguchi
OffRL
21
10
0
15 Mar 2022
Information-Theoretic Odometry Learning
Information-Theoretic Odometry Learning
Sen Zhang
Jing Zhang
Dacheng Tao
23
5
0
11 Mar 2022
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement
  Learning
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning
A. Chester
Michael Dann
Fabio Zambetta
John Thangarajah
11
0
0
09 Mar 2022
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