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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
ArXivPDFHTML

Papers citing "Dream to Control: Learning Behaviors by Latent Imagination"

50 / 303 papers shown
Title
FOSP: Fine-tuning Offline Safe Policy through World Models
FOSP: Fine-tuning Offline Safe Policy through World Models
Chenyang Cao
Yucheng Xin
Silang Wu
Longxiang He
Zichen Yan
Junbo Tan
Xueqian Wang
OffRL
61
0
0
06 Jul 2024
Meta-Gradient Search Control: A Method for Improving the Efficiency of
  Dyna-style Planning
Meta-Gradient Search Control: A Method for Improving the Efficiency of Dyna-style Planning
Bradley Burega
John D. Martin
Luke Kapeluck
Michael Bowling
40
0
0
27 Jun 2024
UniZero: Generalized and Efficient Planning with Scalable Latent World Models
UniZero: Generalized and Efficient Planning with Scalable Latent World Models
Yuan Pu
Yazhe Niu
Jiyuan Ren
Zhenjie Yang
Hongsheng Li
Yu Liu
OffRL
49
1
0
15 Jun 2024
Cognitively Inspired Energy-Based World Models
Cognitively Inspired Energy-Based World Models
Alexi Gladstone
Ganesh Nanduru
Md. Mofijul Islam
Aman Chadha
Jundong Li
Tariq Iqbal
39
0
0
13 Jun 2024
World Models with Hints of Large Language Models for Goal Achieving
World Models with Hints of Large Language Models for Goal Achieving
Zeyuan Liu
Ziyu Huan
Xiyao Wang
Jiafei Lyu
Jian Tao
Xiu Li
Furong Huang
Huazhe Xu
LM&Ro
LRM
AI4CE
46
1
0
11 Jun 2024
NeoRL: Efficient Exploration for Nonepisodic RL
NeoRL: Efficient Exploration for Nonepisodic RL
Bhavya Sukhija
Lenart Treven
Florian Dorfler
Stelian Coros
Andreas Krause
OffRL
33
0
0
03 Jun 2024
Recurrent Deep Kernel Learning of Dynamical Systems
Recurrent Deep Kernel Learning of Dynamical Systems
N. Botteghi
Paolo Motta
Andrea Manzoni
P. Zunino
Mengwu Guo
33
1
0
30 May 2024
Data Efficient Behavior Cloning for Fine Manipulation via
  Continuity-based Corrective Labels
Data Efficient Behavior Cloning for Fine Manipulation via Continuity-based Corrective Labels
Abhay Deshpande
Liyiming Ke
Quinn Pfeifer
Abhishek Gupta
S. Srinivasa
47
1
0
29 May 2024
Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with
  Uncertainty-Aware Rollout Adaption
Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption
Bernd Frauenknecht
Artur Eisele
Devdutt Subhasish
Friedrich Solowjow
Sebastian Trimpe
49
5
0
29 May 2024
Hierarchical World Models as Visual Whole-Body Humanoid Controllers
Hierarchical World Models as Visual Whole-Body Humanoid Controllers
Nicklas Hansen
V. JyothirS
Vlad Sobal
Yann LeCun
Xiaolong Wang
Hao Su
VGen
52
10
0
28 May 2024
Vista: A Generalizable Driving World Model with High Fidelity and
  Versatile Controllability
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
Shenyuan Gao
Jiazhi Yang
Li Chen
Kashyap Chitta
Yihang Qiu
Andreas Geiger
Jun Zhang
Hongyang Li
71
75
0
27 May 2024
BWArea Model: Learning World Model, Inverse Dynamics, and Policy for
  Controllable Language Generation
BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation
Chengxing Jia
Pengyuan Wang
Ziniu Li
Yi-Chen Li
Zhilong Zhang
Nan Tang
Yang Yu
OffRL
39
1
0
27 May 2024
iVideoGPT: Interactive VideoGPTs are Scalable World Models
iVideoGPT: Interactive VideoGPTs are Scalable World Models
Jialong Wu
Shaofeng Yin
Ningya Feng
Xu He
Dong Li
Haifeng Zhang
Mingsheng Long
VGen
49
26
0
24 May 2024
A Survey on Vision-Language-Action Models for Embodied AI
A Survey on Vision-Language-Action Models for Embodied AI
Yueen Ma
Zixing Song
Yuzheng Zhuang
Jianye Hao
Irwin King
LM&Ro
82
43
0
23 May 2024
Learning Future Representation with Synthetic Observations for
  Sample-efficient Reinforcement Learning
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning
Xin Liu
Yaran Chen
Dong Zhao
43
1
0
20 May 2024
Model-based Reinforcement Learning for Parameterized Action Spaces
Model-based Reinforcement Learning for Parameterized Action Spaces
Renhao Zhang
Haotian Fu
Yilin Miao
George Konidaris
31
3
0
03 Apr 2024
Learning Off-policy with Model-based Intrinsic Motivation For Active
  Online Exploration
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration
Yibo Wang
Jiang Zhao
OffRL
OnRL
25
0
0
31 Mar 2024
Bridging the Gap between Discrete Agent Strategies in Game Theory and
  Continuous Motion Planning in Dynamic Environments
Bridging the Gap between Discrete Agent Strategies in Game Theory and Continuous Motion Planning in Dynamic Environments
Hongrui Zheng
Zhijun Zhuang
Stephanie Wu
Shuo Yang
Rahul Mangharam
30
1
0
17 Mar 2024
Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming
Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming
Hany Hamed
Subin Kim
Dongyeong Kim
Jaesik Yoon
Sungjin Ahn
47
4
0
29 Feb 2024
Think2Drive: Efficient Reinforcement Learning by Thinking in Latent
  World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)
Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)
Qifeng Li
Xiaosong Jia
Shaobo Wang
Junchi Yan
37
27
0
26 Feb 2024
Discovering Artificial Viscosity Models for Discontinuous Galerkin
  Approximation of Conservation Laws using Physics-Informed Machine Learning
Discovering Artificial Viscosity Models for Discontinuous Galerkin Approximation of Conservation Laws using Physics-Informed Machine Learning
Matteo Caldana
P. Antonietti
Luca Dede'
AI4CE
PINN
32
1
0
26 Feb 2024
FLD: Fourier Latent Dynamics for Structured Motion Representation and
  Learning
FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning
Chenhao Li
Elijah Stanger-Jones
Steve Heim
Sangbae Kim
43
9
0
21 Feb 2024
Improving Token-Based World Models with Parallel Observation Prediction
Improving Token-Based World Models with Parallel Observation Prediction
Lior Cohen
Kaixin Wang
Bingyi Kang
Shie Mannor
26
3
0
08 Feb 2024
Neural Language of Thought Models
Neural Language of Thought Models
Yi-Fu Wu
Minseung Lee
Sungjin Ahn
MLLM
VLM
63
6
0
02 Feb 2024
Efficient and Generalized end-to-end Autonomous Driving System with
  Latent Deep Reinforcement Learning and Demonstrations
Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations
Zuojin Tang
Xiaoyu Chen
YongQiang Li
Jianyu Chen
24
2
0
22 Jan 2024
VONet: Unsupervised Video Object Learning With Parallel U-Net Attention
  and Object-wise Sequential VAE
VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE
Haonan Yu
Wei Xu
ViT
36
1
0
20 Jan 2024
Bridging State and History Representations: Understanding
  Self-Predictive RL
Bridging State and History Representations: Understanding Self-Predictive RL
Tianwei Ni
Benjamin Eysenbach
Erfan Seyedsalehi
Michel Ma
Clement Gehring
Aditya Mahajan
Pierre-Luc Bacon
AI4TS
AI4CE
22
20
0
17 Jan 2024
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot
  Learning
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning
Rafael Rafailov
Kyle Hatch
Victor Kolev
John D. Martin
Mariano Phielipp
Chelsea Finn
OffRL
OnRL
22
10
0
06 Jan 2024
In-Context Reinforcement Learning for Variable Action Spaces
In-Context Reinforcement Learning for Variable Action Spaces
Viacheslav Sinii
Alexander Nikulin
Vladislav Kurenkov
Ilya Zisman
Sergey Kolesnikov
24
14
0
20 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey
Multi-agent Reinforcement Learning: A Comprehensive Survey
Dom Huh
Prasant Mohapatra
AI4CE
36
8
0
15 Dec 2023
An Invitation to Deep Reinforcement Learning
An Invitation to Deep Reinforcement Learning
Bernhard Jaeger
Andreas Geiger
OffRL
OOD
78
5
0
13 Dec 2023
Industrial Internet of Things Intelligence Empowering Smart
  Manufacturing: A Literature Review
Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Review
Member Ieee Yujiao Hu
Qingmin Jia
Yuao Yao
Yong Lee
Mengjie Lee
Chenyi Wang
Xiaomao Zhou
Senior Member Ieee Renchao Xie
Feng Yu
29
29
0
02 Dec 2023
ADriver-I: A General World Model for Autonomous Driving
ADriver-I: A General World Model for Autonomous Driving
Fan Jia
Weixin Mao
Yingfei Liu
Yucheng Zhao
Yuqing Wen
Chi Zhang
Xiangyu Zhang
Tiancai Wang
48
63
0
22 Nov 2023
Provable Representation with Efficient Planning for Partial Observable
  Reinforcement Learning
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning
Hongming Zhang
Tongzheng Ren
Chenjun Xiao
Dale Schuurmans
Bo Dai
45
3
0
20 Nov 2023
State-Wise Safe Reinforcement Learning With Pixel Observations
State-Wise Safe Reinforcement Learning With Pixel Observations
S. Zhan
Yixuan Wang
Qingyuan Wu
Ruochen Jiao
Chao Huang
Qi Zhu
45
10
0
03 Nov 2023
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics
Michal Nauman
Marek Cygan
35
1
0
30 Oct 2023
CCIL: Continuity-based Data Augmentation for Corrective Imitation
  Learning
CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning
Liyiming Ke
Yunchu Zhang
Abhay Deshpande
S. Srinivasa
Abhishek Gupta
OffRL
27
12
0
19 Oct 2023
Uncertainty-aware transfer across tasks using hybrid model-based
  successor feature reinforcement learning
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning
Parvin Malekzadeh
Ming Hou
Konstantinos N. Plataniotis
51
1
0
16 Oct 2023
Loci-Segmented: Improving Scene Segmentation Learning
Loci-Segmented: Improving Scene Segmentation Learning
Manuel Traub
Frederic Becker
Adrian Sauter
S. Otte
Martin Volker Butz
26
2
0
16 Oct 2023
Learning Object Permanence from Videos via Latent Imaginations
Learning Object Permanence from Videos via Latent Imaginations
Manuel Traub
Frederic Becker
S. Otte
Martin Volker Butz
33
1
0
16 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
Seohong Park
Oleh Rybkin
Sergey Levine
OffRL
33
34
0
13 Oct 2023
Hieros: Hierarchical Imagination on Structured State Space Sequence
  World Models
Hieros: Hierarchical Imagination on Structured State Space Sequence World Models
Paul Mattes
Rainer Schlosser
R. Herbrich
23
4
0
08 Oct 2023
Amortized Network Intervention to Steer the Excitatory Point Processes
Amortized Network Intervention to Steer the Excitatory Point Processes
Zitao Song
Wendi Ren
Sourav Garg
23
1
0
06 Oct 2023
DriveDreamer: Towards Real-world-driven World Models for Autonomous
  Driving
DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving
Xiaofeng Wang
Zheng Hua Zhu
Guan Huang
Xinze Chen
Jiagang Zhu
Jiwen Lu
VGen
22
149
0
18 Sep 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing
  Posterior Predictability
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability
Chuning Zhu
Max Simchowitz
Siri Gadipudi
Abhishek Gupta
43
13
0
31 Aug 2023
Structured World Models from Human Videos
Structured World Models from Human Videos
Russell Mendonca
Shikhar Bahl
Deepak Pathak
LM&Ro
49
87
0
21 Aug 2023
DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation
DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation
Hanqing Wang
Wei Liang
Luc Van Gool
Wenguan Wang
LM&Ro
33
28
0
14 Aug 2023
World-Model-Based Control for Industrial box-packing of Multiple Objects
  using NewtonianVAE
World-Model-Based Control for Industrial box-packing of Multiple Objects using NewtonianVAE
Yusuke Kato
Ryogo Okumura
T. Taniguchi
DRL
27
1
0
04 Aug 2023
PASTA: Pretrained Action-State Transformer Agents
PASTA: Pretrained Action-State Transformer Agents
Raphael Boige
Yannis Flet-Berliac
Arthur Flajolet
Guillaume Richard
Thomas Pierrot
LM&Ro
OffRL
40
5
0
20 Jul 2023
Actor-Critic Model Predictive Control
Actor-Critic Model Predictive Control
Angel Romero
Yunlong Song
Davide Scaramuzza
44
35
0
16 Jun 2023
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