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Recurrent World Models Facilitate Policy Evolution

Recurrent World Models Facilitate Policy Evolution

4 September 2018
David R Ha
Jürgen Schmidhuber
    SyDa
    TPM
ArXivPDFHTML

Papers citing "Recurrent World Models Facilitate Policy Evolution"

50 / 502 papers shown
Title
FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation
FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation
Jun Guo
Xiaojian Ma
Yikai Wang
Min Yang
Huaping Liu
Qing Li
VGen
32
0
0
15 May 2025
EnerVerse-AC: Envisioning Embodied Environments with Action Condition
Yuxin Jiang
Shengcong Chen
Siyuan Huang
Liliang Chen
Pengfei Zhou
...
Xindong He
Chiming Liu
Hongsheng Li
Maoqing Yao
Guanghui Ren
21
0
0
14 May 2025
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
Minting Pan
Yitao Zheng
Jiajian Li
Yunbo Wang
Xiaokang Yang
OffRL
48
0
0
10 May 2025
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
Hafez Ghaemi
Eilif Muller
Shahab Bakhtiari
54
0
0
06 May 2025
A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI
A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI
Lik Hang Kenny Wong
Xueyang Kang
Kaixin Bai
Jianwei Zhang
56
0
0
01 May 2025
A Survey of Interactive Generative Video
A Survey of Interactive Generative Video
Jiwen Yu
Yiran Qin
Haoxuan Che
Quande Liu
Xinyu Wang
Pengfei Wan
Di Zhang
Kun Gai
Hao Chen
Xihui Liu
VGen
65
0
0
30 Apr 2025
Learning to Drive from a World Model
Learning to Drive from a World Model
Mitchell Goff
Greg Hogan
George Hotz
Armand du Parc Locmaria
Kacper Raczy
Harald Schäfer
Adeeb Shihadeh
Weixing Zhang
Yassine Yousfi
39
0
0
27 Apr 2025
CaRL: Learning Scalable Planning Policies with Simple Rewards
CaRL: Learning Scalable Planning Policies with Simple Rewards
Bernhard Jaeger
D. Dauner
Jens Beißwenger
Simon Gerstenecker
Kashyap Chitta
Andreas Geiger
54
0
0
24 Apr 2025
WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model
WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model
Tianqing Fang
Huan Zhang
Z. Zhang
Kaixin Ma
W. Yu
Haitao Mi
Dong Yu
LLMAG
KELM
182
0
0
23 Apr 2025
CAPTURe: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting
CAPTURe: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting
Atin Pothiraj
Elias Stengel-Eskin
Jaemin Cho
Joey Tianyi Zhou
42
0
0
21 Apr 2025
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning
Yang Yue
Yulin Wang
Chenxin Tao
Pan Liu
Shiji Song
Gao Huang
MedIm
26
0
0
18 Apr 2025
EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance
EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance
Yang Yue
Yulin Wang
Haojun Jiang
Pan Liu
S. Song
Gao Huang
VGen
38
0
0
17 Apr 2025
Adapting a World Model for Trajectory Following in a 3D Game
Adapting a World Model for Trajectory Following in a 3D Game
Marko Tot
Shu Ishida
Abdelhak Lemkhenter
David Bignell
Pallavi Choudhury
...
Tarun Gupta
Darren Gehring
Sam Devlin
Sergio Valcarcel Macua
Raluca Georgescu
41
0
0
16 Apr 2025
WORLDMEM: Long-term Consistent World Simulation with Memory
WORLDMEM: Long-term Consistent World Simulation with Memory
Zeqi Xiao
Yushi Lan
Yifan Zhou
Wenqi Ouyang
Shuai Yang
Yanhong Zeng
Xingang Pan
78
0
0
16 Apr 2025
Improving World Models using Deep Supervision with Linear Probes
Improving World Models using Deep Supervision with Linear Probes
Andrii Zahorodnii
28
0
0
04 Apr 2025
Exploration-Driven Generative Interactive Environments
Exploration-Driven Generative Interactive Environments
N. Savov
Naser Kazemi
Mohammad Mahdi
Danda Pani Paudel
Xi Wang
Luc Van Gool
VGen
3DV
43
0
0
03 Apr 2025
e-person Architecture and Framework for Human-AI Co-adventure Relationship
e-person Architecture and Framework for Human-AI Co-adventure Relationship
Kanako Esaki
Tadayuki Matsumura
Yang Shao
Hiroyuki Mizuno
34
0
0
28 Mar 2025
Perspective-Shifted Neuro-Symbolic World Models: A Framework for Socially-Aware Robot Navigation
Perspective-Shifted Neuro-Symbolic World Models: A Framework for Socially-Aware Robot Navigation
Kevin Alcedo
Pedro U. Lima
Rachid Alami
74
0
0
26 Mar 2025
Thinking agents for zero-shot generalization to qualitatively novel tasks
Thinking agents for zero-shot generalization to qualitatively novel tasks
Thomas Miconi
Kevin L McKee
Yicong Zheng
Jed McCaleb
LRM
AI4CE
48
0
0
25 Mar 2025
AdaWorld: Learning Adaptable World Models with Latent Actions
AdaWorld: Learning Adaptable World Models with Latent Actions
Shenyuan Gao
Siyuan Zhou
Yilun Du
Jun Zhang
Chuang Gan
VGen
62
4
0
24 Mar 2025
DyWA: Dynamics-adaptive World Action Model for Generalizable Non-prehensile Manipulation
DyWA: Dynamics-adaptive World Action Model for Generalizable Non-prehensile Manipulation
Jiangran Lyu
Ziming Li
Xuesong Shi
Chaoyi Xu
Yizhou Wang
He Wang
49
0
0
21 Mar 2025
FusDreamer: Label-efficient Remote Sensing World Model for Multimodal Data Classification
FusDreamer: Label-efficient Remote Sensing World Model for Multimodal Data Classification
Jiadong Wang
Weiwei Song
Hao Chen
J. Ren
Huimin Zhao
62
0
0
18 Mar 2025
PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop
Chenyu Li
Oscar Michel
Xichen Pan
Sainan Liu
Mike Roberts
Saining Xie
VGen
55
3
0
12 Mar 2025
Other Vehicle Trajectories Are Also Needed: A Driving World Model Unifies Ego-Other Vehicle Trajectories in Video Latent Space
Other Vehicle Trajectories Are Also Needed: A Driving World Model Unifies Ego-Other Vehicle Trajectories in Video Latent Space
Jian Zhu
Zhengyu Jia
Tian Gao
Jiaxin Deng
Shidi Li
Fu Liu
Peng Jia
Xianpeng Lang
Xiaolong Sun
VGen
173
0
0
12 Mar 2025
Toward Stable World Models: Measuring and Addressing World Instability in Generative Environments
Soonwoo Kwon
Jin-Young Kim
Hyojun Go
Kyungjune Baek
58
0
0
11 Mar 2025
Temporal Triplane Transformers as Occupancy World Models
Temporal Triplane Transformers as Occupancy World Models
Haoran Xu
Peixi Peng
Guang Tan
Yiqian Chang
Yisen Zhao
Yonghong Tian
41
0
0
10 Mar 2025
System 0/1/2/3: Quad-process theory for multi-timescale embodied collective cognitive systems
Tadahiro Taniguchi
Yasushi Hirai
Masahiro Suzuki
Shingo Murata
Takato Horii
Kazutoshi Tanaka
AI4CE
64
0
0
08 Mar 2025
InDRiVE: Intrinsic Disagreement based Reinforcement for Vehicle Exploration through Curiosity Driven Generalized World Model
Feeza Khan Khanzada
Jaerock Kwon
44
0
0
07 Mar 2025
Knowledge Retention for Continual Model-Based Reinforcement Learning
Yixiang Sun
Haotian Fu
M. L. Littman
George Konidaris
OffRL
CLL
VLM
51
0
0
06 Mar 2025
Learning Transformer-based World Models with Contrastive Predictive Coding
Maxime Burchi
Radu Timofte
72
0
0
06 Mar 2025
Four Principles for Physically Interpretable World Models
Jordan Peper
Zhenjiang Mao
Yuang Geng
Siyuan Pan
Ivan Ruchkin
110
1
0
04 Mar 2025
Discrete Codebook World Models for Continuous Control
Aidan Scannell
Mohammadreza Nakhaei
Kalle Kujanpää
Yi Zhao
Kevin Sebastian Luck
Dieter Büchler
Joni Pajarinen
OffRL
50
1
0
01 Mar 2025
Multimodal Dreaming: A Global Workspace Approach to World Model-Based Reinforcement Learning
Multimodal Dreaming: A Global Workspace Approach to World Model-Based Reinforcement Learning
Léopold Maytié
Roland Bertin Johannet
Rufin VanRullen
OffRL
46
0
0
28 Feb 2025
Efficient Reinforcement Learning by Guiding Generalist World Models with Non-Curated Data
Efficient Reinforcement Learning by Guiding Generalist World Models with Non-Curated Data
Yi Zhao
Aidan Scannell
Wenshuai Zhao
Yuxin Hou
Tianyu Cui
Le Chen
Dieter Büchler
Arno Solin
Juho Kannala
Joni Pajarinen
OffRL
OnRL
96
1
0
26 Feb 2025
Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning
Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning
Jaehyeon Son
Soochan Lee
Gunhee Kim
OffRL
77
1
0
26 Feb 2025
TDMPBC: Self-Imitative Reinforcement Learning for Humanoid Robot Control
TDMPBC: Self-Imitative Reinforcement Learning for Humanoid Robot Control
Zifeng Zhuang
Diyuan Shi
Runze Suo
Xiao He
Hongyin Zhang
Ting Wang
Shangke Lyu
Donglin Wang
42
0
0
24 Feb 2025
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability
Carlos E. Luis
A. Bottero
Julia Vinogradska
Felix Berkenkamp
Jan Peters
78
1
0
20 Feb 2025
Text2World: Benchmarking Large Language Models for Symbolic World Model Generation
Text2World: Benchmarking Large Language Models for Symbolic World Model Generation
Mengkang Hu
Tianxing Chen
Yude Zou
Yuheng Lei
Qiguang Chen
Ming Li
Yao Mu
H. Zhang
Wenqi Shao
Ping Luo
LLMAG
46
0
0
18 Feb 2025
Zero-shot Model-based Reinforcement Learning using Large Language Models
Zero-shot Model-based Reinforcement Learning using Large Language Models
Abdelhakim Benechehab
Youssef Attia El Hili
Ambroise Odonnat
Oussama Zekri
Albert Thomas
Giuseppe Paolo
Maurizio Filippone
I. Redko
Balázs Kégl
OffRL
72
1
0
17 Feb 2025
Habitizing Diffusion Planning for Efficient and Effective Decision Making
Haofei Lu
Yifei Shen
Dongsheng Li
Junliang Xing
Dongqi Han
67
0
0
10 Feb 2025
Increasing Information for Model Predictive Control with Semi-Markov Decision Processes
Increasing Information for Model Predictive Control with Semi-Markov Decision Processes
Rémy Hosseinkhan Boucher
Onofrio Semeraro
L. Mathelin
48
0
0
28 Jan 2025
TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies in Offline Reinforcement Learning
TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies in Offline Reinforcement Learning
Batıkan Bora Ormancı
Phillip Swazinna
Steffen Udluft
Thomas Runkler
OffRL
71
0
0
28 Jan 2025
EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning
EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning
Siddharth Aravindan
Dixant Mittal
Wee Sun Lee
BDL
79
0
0
17 Jan 2025
Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation
N. Dennler
Stefanos Nikolaidis
Maja J. Matarić
159
0
0
03 Jan 2025
Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models
Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models
Yue Zhang
Ziqiao Ma
Jialu Li
Yanyuan Qiao
Zun Wang
J. Chai
Qi Wu
Joey Tianyi Zhou
Parisa Kordjamshidi
LRM
63
19
0
31 Dec 2024
The Matrix: Infinite-Horizon World Generation with Real-Time Moving
  Control
The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control
Ruili Feng
Han Zhang
Zhantao Yang
Jie Xiao
Zhilei Shu
Zhiheng Liu
Andy Zheng
Yukun Huang
Yu Liu
H. Zhang
VGen
95
9
0
04 Dec 2024
Creating Hierarchical Dispositions of Needs in an Agent
Creating Hierarchical Dispositions of Needs in an Agent
Tofara Moyo
84
0
0
23 Nov 2024
Error-Feedback Model for Output Correction in Bilateral Control-Based
  Imitation Learning
Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning
Hiroshi Sato
Masashi Konosu
S. Sakaino
T. Tsuji
61
0
0
19 Nov 2024
World Models: The Safety Perspective
World Models: The Safety Perspective
Zifan Zeng
Chongzhe Zhang
Feng Liu
Joseph Sifakis
Qunli Zhang
Shiming Liu
Peng Wang
KELM
LLMAG
42
1
0
12 Nov 2024
SPARTAN: A Sparse Transformer Learning Local Causation
SPARTAN: A Sparse Transformer Learning Local Causation
Anson Lei
Bernhard Schölkopf
Ingmar Posner
35
2
0
11 Nov 2024
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