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DayDreamer: World Models for Physical Robot Learning

DayDreamer: World Models for Physical Robot Learning

28 June 2022
Philipp Wu
Alejandro Escontrela
Danijar Hafner
Ken Goldberg
Pieter Abbeel
ArXivPDFHTML

Papers citing "DayDreamer: World Models for Physical Robot Learning"

50 / 208 papers shown
Title
ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic
  Manipulation
ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation
Guanxing Lu
Shiyi Zhang
Ziwei Wang
Changliu Liu
Jiwen Lu
Yansong Tang
41
49
0
13 Mar 2024
DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video
  Generation
DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation
Guosheng Zhao
Xiaofeng Wang
Zheng Zhu
Xinze Chen
Guan Huang
Xiaoyi Bao
Xingang Wang
VGen
20
14
0
11 Mar 2024
World Models for Autonomous Driving: An Initial Survey
World Models for Autonomous Driving: An Initial Survey
Yanchen Guan
Haicheng Liao
Zhenning Li
Jia Hu
Runze Yuan
Yunjian Li
Guohui Zhang
Chengzhong Xu
21
30
0
05 Mar 2024
An Efficient Model-Based Approach on Learning Agile Motor Skills without
  Reinforcement
An Efficient Model-Based Approach on Learning Agile Motor Skills without Reinforcement
Hao-bin Shi
Tingguang Li
Qing Zhu
Jiapeng Sheng
Lei Han
Max Q.-H. Meng
17
1
0
04 Mar 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
12
27
0
26 Feb 2024
Revisiting Experience Replayable Conditions
Revisiting Experience Replayable Conditions
Taisuke Kobayashi
19
3
0
15 Feb 2024
Learning Interpretable Policies in Hindsight-Observable POMDPs through
  Partially Supervised Reinforcement Learning
Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning
Michael Lanier
Ying Xu
Nathan Jacobs
Chongjie Zhang
Yevgeniy Vorobeychik
16
2
0
14 Feb 2024
Exploration Without Maps via Zero-Shot Out-of-Distribution Deep
  Reinforcement Learning
Exploration Without Maps via Zero-Shot Out-of-Distribution Deep Reinforcement Learning
Shathushan Sivashangaran
Apoorva Khairnar
A. Eskandarian
OffRL
32
0
0
07 Feb 2024
Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal
  Locomotion Control
Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control
Zhongyu Li
Xue Bin Peng
Pieter Abbeel
Sergey Levine
Glen Berseth
K. Sreenath
14
25
0
30 Jan 2024
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
Jianlan Luo
Zheyuan Hu
Charles Xu
You Liang Tan
Jacob Berg
Archit Sharma
S. Schaal
Chelsea Finn
Abhishek Gupta
Sergey Levine
OffRL
OnRL
34
39
0
29 Jan 2024
WorldDreamer: Towards General World Models for Video Generation via
  Predicting Masked Tokens
WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens
Xiaofeng Wang
Zheng Zhu
Guan Huang
Boyuan Wang
Xinze Chen
Jiwen Lu
VGen
19
32
0
18 Jan 2024
Forging Vision Foundation Models for Autonomous Driving: Challenges,
  Methodologies, and Opportunities
Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities
Xu Yan
Haiming Zhang
Yingjie Cai
Jingming Guo
Weichao Qiu
...
Lihui Jiang
Wei Zhang
Hongbo Zhang
Dengxin Dai
Bingbing Liu
51
16
0
16 Jan 2024
Task-Oriented Active Learning of Model Preconditions for Inaccurate
  Dynamics Models
Task-Oriented Active Learning of Model Preconditions for Inaccurate Dynamics Models
A. LaGrassa
Moonyoung Lee
Oliver Kroemer
9
2
0
08 Jan 2024
Model-Based Control with Sparse Neural Dynamics
Model-Based Control with Sparse Neural Dynamics
Ziang Liu
Genggeng Zhou
Jeff He
Tobia Marcucci
Fei-Fei Li
Jiajun Wu
Yunzhu Li
AI4CE
19
6
0
20 Dec 2023
Hybrid Internal Model: Learning Agile Legged Locomotion with Simulated
  Robot Response
Hybrid Internal Model: Learning Agile Legged Locomotion with Simulated Robot Response
Junfeng Long
Zirui Wang
Quanyi Li
Jiawei Gao
Liu Cao
Jiangmiao Pang
48
25
0
18 Dec 2023
Sample-Efficient Learning to Solve a Real-World Labyrinth Game Using
  Data-Augmented Model-Based Reinforcement Learning
Sample-Efficient Learning to Solve a Real-World Labyrinth Game Using Data-Augmented Model-Based Reinforcement Learning
Thomas Bi
Raffaello DÁndrea
9
6
0
15 Dec 2023
Small Dataset, Big Gains: Enhancing Reinforcement Learning by Offline
  Pre-Training with Model Based Augmentation
Small Dataset, Big Gains: Enhancing Reinforcement Learning by Offline Pre-Training with Model Based Augmentation
Girolamo Macaluso
Alessandro Sestini
Andrew D. Bagdanov
OffRL
OnRL
19
3
0
15 Dec 2023
ReCoRe: Regularized Contrastive Representation Learning of World Model
ReCoRe: Regularized Contrastive Representation Learning of World Model
Rudra P. K. Poudel
Harit Pandya
Stephan Liwicki
Roberto Cipolla
DRL
OffRL
10
3
0
14 Dec 2023
Pearl: A Production-ready Reinforcement Learning Agent
Pearl: A Production-ready Reinforcement Learning Agent
Zheqing Zhu
Rodrigo de Salvo Braz
Jalaj Bhandari
Daniel Jiang
Yi Wan
...
D. Korenkevych
Ürün Dogan
Frank Cheng
Zheng Wu
Wanqiao Xu
VLM
OffRL
OnRL
18
6
0
06 Dec 2023
Building Ears for Robots: Machine Hearing in the Age of Autonomy
Building Ears for Robots: Machine Hearing in the Age of Autonomy
Xuan Zhong
8
0
0
04 Dec 2023
Spacewalk-18: A Benchmark for Multimodal and Long-form Procedural Video Understanding in Novel Domains
Spacewalk-18: A Benchmark for Multimodal and Long-form Procedural Video Understanding in Novel Domains
Rohan Myer Krishnan
Zitian Tang
Zhiqiu Yu
Chen Sun
33
1
0
30 Nov 2023
Driving into the Future: Multiview Visual Forecasting and Planning with
  World Model for Autonomous Driving
Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving
Yu-Quan Wang
Jiawei He
Lue Fan
Hongxin Li
Yuntao Chen
Zhaoxiang Zhang
VGen
33
116
0
29 Nov 2023
Robot Learning in the Era of Foundation Models: A Survey
Robot Learning in the Era of Foundation Models: A Survey
Xuan Xiao
Jiahang Liu
Zhipeng Wang
Yanmin Zhou
Yong Qi
Qian Cheng
Bin He
Shuo Jiang
AI4CE
LM&Ro
16
25
0
24 Nov 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
16
63
0
22 Nov 2023
Towards Continual Reinforcement Learning for Quadruped Robots
Towards Continual Reinforcement Learning for Quadruped Robots
G. Minelli
V. Vassiliades
CLL
4
1
0
12 Nov 2023
TWIST: Teacher-Student World Model Distillation for Efficient
  Sim-to-Real Transfer
TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer
Jun Yamada
Marc Rigter
Jack Collins
Ingmar Posner
16
5
0
07 Nov 2023
Autonomous Robotic Reinforcement Learning with Asynchronous Human
  Feedback
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback
Max Balsells
M. Torné
Zihan Wang
Samedh Desai
Pulkit Agrawal
Abhishek Gupta
37
10
0
31 Oct 2023
Grow Your Limits: Continuous Improvement with Real-World RL for Robotic
  Locomotion
Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion
Laura M. Smith
Yunhao Cao
Sergey Levine
OffRL
10
18
0
26 Oct 2023
Model-Based Runtime Monitoring with Interactive Imitation Learning
Model-Based Runtime Monitoring with Interactive Imitation Learning
Huihan Liu
Shivin Dass
Roberto Martín-Martín
Yuke Zhu
24
19
0
26 Oct 2023
Finetuning Offline World Models in the Real World
Finetuning Offline World Models in the Real World
Yunhai Feng
Nicklas Hansen
Ziyan Xiong
Chandramouli Rajagopalan
Xiaolong Wang
OffRL
OnRL
9
20
0
24 Oct 2023
Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion
  Models
Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models
Kevin Black
Mitsuhiko Nakamoto
P. Atreya
Homer Walke
Chelsea Finn
Aviral Kumar
Sergey Levine
DiffM
LM&Ro
13
130
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
25
1
0
16 Oct 2023
DexCatch: Learning to Catch Arbitrary Objects with Dexterous Hands
DexCatch: Learning to Catch Arbitrary Objects with Dexterous Hands
Fengbo Lan
Shengjie Wang
Yunzhe Zhang
Haotian Xu
Oluwatosin Oseni
Yang Gao
Tao Zhang
29
0
0
13 Oct 2023
Unifying Foundation Models with Quadrotor Control for Visual Tracking
  Beyond Object Categories
Unifying Foundation Models with Quadrotor Control for Visual Tracking Beyond Object Categories
Alessandro Saviolo
P. Rao
Vivek Radhakrishnan
Jiuhong Xiao
Giuseppe Loianno
15
5
0
07 Oct 2023
Language Agent Tree Search Unifies Reasoning Acting and Planning in
  Language Models
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Xiaoxiao Sun
Yang Yang
Michal Shlapentokh-Rothman
Haohan Wang
Yu-xiong Wang
LRM
AI4CE
LM&Ro
LLMAG
26
183
0
06 Oct 2023
Differentially Encoded Observation Spaces for Perceptive Reinforcement
  Learning
Differentially Encoded Observation Spaces for Perceptive Reinforcement Learning
Lev Grossman
Brian Plancher
OffRL
13
0
0
03 Oct 2023
HarmonyDream: Task Harmonization Inside World Models
HarmonyDream: Task Harmonization Inside World Models
Haoyu Ma
Jialong Wu
Ningya Feng
Chenjun Xiao
Dong Li
Jianye Hao
Jianmin Wang
Mingsheng Long
25
7
0
30 Sep 2023
GAIA-1: A Generative World Model for Autonomous Driving
GAIA-1: A Generative World Model for Autonomous Driving
Masane Fuchi
Lloyd Russell
Hudson Yeo
Zak Murez
Hiroto Minami
Alex Kendall
Tomohiro Takagi
Gianluca Corrado
VGen
11
215
0
29 Sep 2023
Extreme Parkour with Legged Robots
Extreme Parkour with Legged Robots
Xuxin Cheng
Kexin Shi
Ananye Agarwal
Deepak Pathak
17
146
0
25 Sep 2023
MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation
MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation
Patrick E. Lancaster
Nicklas Hansen
Aravind Rajeswaran
Vikash Kumar
LM&Ro
17
14
0
25 Sep 2023
Prompt a Robot to Walk with Large Language Models
Prompt a Robot to Walk with Large Language Models
Yen-Jen Wang
Bike Zhang
Jianyu Chen
K. Sreenath
LM&Ro
LLMAG
10
25
0
18 Sep 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
8
148
0
18 Sep 2023
From Knowing to Doing: Learning Diverse Motor Skills through Instruction
  Learning
From Knowing to Doing: Learning Diverse Motor Skills through Instruction Learning
Linqi Ye
Jiayi Li
Yi Cheng
Xianhao Wang
Bin Liang
Yan Peng
8
7
0
17 Sep 2023
Predicting Routine Object Usage for Proactive Robot Assistance
Predicting Routine Object Usage for Proactive Robot Assistance
Maithili Patel
Aswin Prakash
Sonia Chernova
AI4TS
21
8
0
12 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
26
13
0
31 Aug 2023
Learning to Navigate from Scratch using World Models and Curiosity: the
  Good, the Bad, and the Ugly
Learning to Navigate from Scratch using World Models and Curiosity: the Good, the Bad, and the Ugly
Daria de Tinguy
Sven Remmery
Pietro Mazzaglia
Tim Verbelen
Bart Dhoedt
13
0
0
30 Aug 2023
Structured World Models from Human Videos
Structured World Models from Human Videos
Russell Mendonca
Shikhar Bahl
Deepak Pathak
LM&Ro
13
85
0
21 Aug 2023
Robust Quadrupedal Locomotion via Risk-Averse Policy Learning
Robust Quadrupedal Locomotion via Risk-Averse Policy Learning
Jiyuan Shi
Chenjia Bai
Haoran He
Lei Han
Dong Wang
Bin Zhao
Mingguo Zhao
Xiuyang Li
Xuelong Li
OffRL
OOD
6
9
0
18 Aug 2023
Consciousness in Artificial Intelligence: Insights from the Science of
  Consciousness
Consciousness in Artificial Intelligence: Insights from the Science of Consciousness
Patrick Butlin
R. Long
Eric Elmoznino
Yoshua Bengio
Jonathan C. P. Birch
...
L. Mudrik
Megan A. K. Peters
Eric Schwitzgebel
Jonathan Simon
Rufin VanRullen
LLMAG
16
95
0
17 Aug 2023
On-Robot Bayesian Reinforcement Learning for POMDPs
On-Robot Bayesian Reinforcement Learning for POMDPs
Hai V. Nguyen
Sammie Katt
Yuchen Xiao
Chris Amato
OffRL
10
1
0
22 Jul 2023
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