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TransDreamer: Reinforcement Learning with Transformer World Models

TransDreamer: Reinforcement Learning with Transformer World Models

19 February 2022
Changgu Chen
Yi-Fu Wu
Jaesik Yoon
Sungjin Ahn
    OffRL
ArXiv (abs)PDFHTML

Papers citing "TransDreamer: Reinforcement Learning with Transformer World Models"

50 / 95 papers shown
Multimodal Reinforcement Learning with Agentic Verifier for AI Agents
Multimodal Reinforcement Learning with Agentic Verifier for AI Agents
Reuben Tan
Baolin Peng
Zhengyuan Yang
Hao Cheng
Oier Mees
...
Xiaodong Liu
Lijuan Wang
Marc Pollefeys
Yong Jae Lee
Jianfeng Gao
OffRLLRM
281
2
0
03 Dec 2025
Counterfactual World Models via Digital Twin-conditioned Video Diffusion
Counterfactual World Models via Digital Twin-conditioned Video Diffusion
Yiqing Shen
Aiza Maksutova
Chenjia Li
Mathias Unberath
DiffMVGen
221
0
0
21 Nov 2025
RynnVLA-002: A Unified Vision-Language-Action and World Model
RynnVLA-002: A Unified Vision-Language-Action and World Model
Jun Cen
Siteng Huang
Yuqian Yuan
Kehan Li
Hangjie Yuan
...
Xin Li
Hao Luo
Fan Wang
Deli Zhao
H. Chen
VGenSyDa
398
14
0
21 Nov 2025
Learning to Focus: Prioritizing Informative Histories with Structured Attention Mechanisms in Partially Observable Reinforcement Learning
Learning to Focus: Prioritizing Informative Histories with Structured Attention Mechanisms in Partially Observable Reinforcement Learning
Daniel De Dios Allegue
J. He
F. Oliehoek
OffRL
331
0
0
10 Nov 2025
When Object-Centric World Models Meet Policy Learning: From Pixels to Policies, and Where It Breaks
When Object-Centric World Models Meet Policy Learning: From Pixels to Policies, and Where It Breaks
Stefano Ferraro
Akihiro Nakano
Masahiro Suzuki
Yutaka Matsuo
OCLMU
475
0
0
08 Nov 2025
Off-policy Reinforcement Learning with Model-based Exploration Augmentation
Off-policy Reinforcement Learning with Model-based Exploration Augmentation
Likun Wang
Xiangteng Zhang
Yinuo Wang
Guojian Zhan
Wenxuan Wang
Haoyu Gao
Jingliang Duan
Shengbo Eben Li
OffRL
219
1
0
29 Oct 2025
Compositional Monte Carlo Tree Diffusion for Extendable Planning
Compositional Monte Carlo Tree Diffusion for Extendable Planning
Jaesik Yoon
Hyeonseo Cho
Sungjin Ahn
DiffMLRM
254
0
0
24 Oct 2025
A Comprehensive Survey on World Models for Embodied AI
A Comprehensive Survey on World Models for Embodied AI
Xinqing Li
Xin He
Le Zhang
Yun-Hai Liu
Xiaoli Li
Yun-Hai Liu
VGenLM&RoSyDa
332
20
0
19 Oct 2025
Vector Quantization in the Brain: Grid-like Codes in World Models
Vector Quantization in the Brain: Grid-like Codes in World Models
Xiangyuan Peng
Xingsi Dong
Si Wu
163
0
0
16 Oct 2025
MultiModal Action Conditioned Video Generation
MultiModal Action Conditioned Video Generation
Yichen Li
Antonio Torralba
VGen
232
3
0
02 Oct 2025
DyMoDreamer: World Modeling with Dynamic Modulation
DyMoDreamer: World Modeling with Dynamic Modulation
Boxuan Zhang
Runqing Wang
Wei Xiao
Weipu Zhang
Jian Sun
Gao Huang
Jie Chen
Gang Wang
208
0
0
29 Sep 2025
Embodied AI: From LLMs to World Models
Embodied AI: From LLMs to World Models
Tongtong Feng
Xin Wang
Yu Jiang
Wenwu Zhu
LM&Ro
451
22
0
24 Sep 2025
Remote Sensing-Oriented World Model
Remote Sensing-Oriented World Model
Yuxi Lu
Biao Wu
Zhidong Li
Kunqi Li
Chenya Huang
Huacan Wang
Qizhen Lan
Ronghao Chen
Ling-Hao Chen
Bin Liang
301
0
0
22 Sep 2025
TransZero: Parallel Tree Expansion in MuZero using Transformer Networks
TransZero: Parallel Tree Expansion in MuZero using Transformer Networks
Emil Malmsten
Wendelin Böhmer
146
0
0
14 Sep 2025
Learning Primitive Embodied World Models: Towards Scalable Robotic Learning
Learning Primitive Embodied World Models: Towards Scalable Robotic Learning
Qiao Sun
Liujia Yang
Wei Tang
Wei Huang
Kaixin Xu
...
Tong He
Yilun Chen
Xili Dai
Nanyang Ye
Qinying Gu
VGenLM&Ro
515
3
0
28 Aug 2025
Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges
Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges
Changyuan Zhao
Guangyuan Liu
Ruichen Zhang
Yinqiu Liu
Jiacheng Wang
...
Shen
Zhu Han
Sumei Sun
Chau Yuen
Dong In Kim
259
10
0
13 Aug 2025
A Survey: Learning Embodied Intelligence from Physical Simulators and World Models
A Survey: Learning Embodied Intelligence from Physical Simulators and World Models
Xiaoxiao Long
Qingrui Zhao
Kaiwen Zhang
Zihao Zhang
Dingrui Wang
...
Jia Pan
Qiu Shen
Ruigang Yang
X. Cao
Qionghai Dai
LM&RoAI4CE
366
33
0
01 Jul 2025
TransDreamerV3: Implanting Transformer In DreamerV3
TransDreamerV3: Implanting Transformer In DreamerV3
Shruti Sadanand Dongare
Amun Kharel
Jonathan Samuel
Xiaona Zhou
146
0
0
20 Jun 2025
Fast Monte Carlo Tree Diffusion: 100x Speedup via Parallel Sparse Planning
Fast Monte Carlo Tree Diffusion: 100x Speedup via Parallel Sparse Planning
Jaesik Yoon
Hyeonseo Cho
Yoshua Bengio
Sungjin Ahn
DiffMLRM
492
3
0
11 Jun 2025
OSVI-WM: One-Shot Visual Imitation for Unseen Tasks using World-Model-Guided Trajectory Generation
OSVI-WM: One-Shot Visual Imitation for Unseen Tasks using World-Model-Guided Trajectory Generation
Raktim Gautam Goswami
Prashanth Krishnamurthy
Yann LeCun
Farshad Khorrami
VGenOffRL
330
8
0
26 May 2025
Emergence of Goal-Directed Behaviors via Active Inference with Self-Prior
Emergence of Goal-Directed Behaviors via Active Inference with Self-Prior
Dongmin Kim
Hoshinori Kanazawa
Naoto Yoshida
Yasuo Kuniyoshi
AI4CE
297
0
0
15 Apr 2025
Exploration-Driven Generative Interactive Environments
Exploration-Driven Generative Interactive EnvironmentsComputer Vision and Pattern Recognition (CVPR), 2025
N. Savov
Naser Kazemi
Mohammad Mahdi
Danda Pani Paudel
Xi Wang
Luc Van Gool
VGen3DV
309
7
0
03 Apr 2025
Learning Transformer-based World Models with Contrastive Predictive Coding
Learning Transformer-based World Models with Contrastive Predictive CodingInternational Conference on Learning Representations (ICLR), 2025
Maxime Burchi
Radu Timofte
462
15
0
06 Mar 2025
Four Principles for Physically Interpretable World Models
Four Principles for Physically Interpretable World Models
Jordan Peper
Zhenjiang Mao
Yuang Geng
Siyuan Pan
Ivan Ruchkin
514
6
0
04 Mar 2025
Accelerating Model-Based Reinforcement Learning with State-Space World Models
Accelerating Model-Based Reinforcement Learning with State-Space World Models
Maria Krinner
Elie Aljalbout
Angel Romero
Davide Scaramuzza
OffRL
422
9
0
27 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
564
2
0
20 Feb 2025
Zero-shot Model-based Reinforcement Learning using Large Language Models
Zero-shot Model-based Reinforcement Learning using Large Language ModelsInternational Conference on Learning Representations (ICLR), 2024
Khyati Khandelwal
Youssef Attia El Hili
Ambroise Odonnat
Oussama Zekri
Albert Thomas
Giuseppe Paolo
Maurizio Filippone
I. Redko
Jun Yao
OffRL
387
6
0
17 Feb 2025
DMWM: Dual-Mind World Model with Long-Term Imagination
DMWM: Dual-Mind World Model with Long-Term Imagination
Lingyi Wang
Rashed Shelim
Walid Saad
Naren Ramakrishnan
LRM
1.1K
6
0
11 Feb 2025
FACTS: A Factored State-Space Framework For World Modelling
FACTS: A Factored State-Space Framework For World ModellingInternational Conference on Learning Representations (ICLR), 2024
Li Nanbo
Firas Laakom
Yucheng Xu
Wenyi Wang
Jürgen Schmidhuber
AI4TS
1.1K
2
0
28 Oct 2024
DODT: Enhanced Online Decision Transformer Learning through Dreamer's
  Actor-Critic Trajectory Forecasting
DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting
Eric Hanchen Jiang
Zhi Zhang
Dinghuai Zhang
Andrew Lizarraga
Chenheng Xu
...
Zhengjie Xu
Peiyu Yu
Yuer Tang
Deqian Kong
Ying Nian Wu
OffRL
185
3
0
15 Oct 2024
Asymptotic Analysis of Sample-averaged Q-learning
Asymptotic Analysis of Sample-averaged Q-learningIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2024
Saunak Kumar Panda
Ruiqi Liu
Yisha Xiang
OnRL
484
23
0
14 Oct 2024
Masked Generative Priors Improve World Models Sequence Modelling Capabilities
Masked Generative Priors Improve World Models Sequence Modelling Capabilities
Cristian Meo
Mircea Lica
Zarif Ikram
Akihiro Nakano
Vedant Shah
Aniket Didolkar
Dianbo Liu
Anirudh Goyal
Justin Dauwels
OffRL
1.0K
7
0
10 Oct 2024
From Reward Shaping to Q-Shaping: Achieving Unbiased Learning with
  LLM-Guided Knowledge
From Reward Shaping to Q-Shaping: Achieving Unbiased Learning with LLM-Guided Knowledge
Xiefeng Wu
OffRL
379
3
0
02 Oct 2024
One-shot World Models Using a Transformer Trained on a Synthetic Prior
One-shot World Models Using a Transformer Trained on a Synthetic Prior
Fabio Ferreira
Moreno Schlageter
Raghu Rajan
André Biedenkapp
Frank Hutter
253
0
0
21 Sep 2024
Learning Generative Interactive Environments By Trained Agent
  Exploration
Learning Generative Interactive Environments By Trained Agent Exploration
Naser Kazemi
N. Savov
Danda Paudel
Luc Van Gool
275
3
0
10 Sep 2024
QT-TDM: Planning with Transformer Dynamics Model and Autoregressive
  Q-Learning
QT-TDM: Planning with Transformer Dynamics Model and Autoregressive Q-Learning
Mostafa Kotb
C. Weber
Muhammad Burhan Hafez
Stefan Wermter
299
8
0
26 Jul 2024
Reinforcement Learning for Sustainable Energy: A Survey
Reinforcement Learning for Sustainable Energy: A Survey
Koen Ponse
Felix Kleuker
Márton Fejér
Álvaro Serra-Gómez
Aske Plaat
Thomas M. Moerland
OffRLAI4CE
278
8
0
26 Jul 2024
Efficient World Models with Context-Aware Tokenization
Efficient World Models with Context-Aware Tokenization
Vincent Micheli
Eloi Alonso
François Fleuret
OffRLVLM
255
23
0
27 Jun 2024
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models
Xicheng Zhang
Fuchun Sun
Bin Zhao
Junchi Yan
Xiu Li
Xuelong Li
OffRL
357
11
0
22 Jun 2024
KalMamba: Towards Efficient Probabilistic State Space Models for RL
  under Uncertainty
KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty
P. Becker
Niklas Freymuth
Gerhard Neumann
Mamba
317
7
0
21 Jun 2024
Slot State Space Models
Slot State Space Models
Jindong Jiang
Fei Deng
Gautam Singh
Minseung Lee
Sungjin Ahn
594
16
0
18 Jun 2024
Generalisation to unseen topologies: Towards control of biological
  neural network activity
Generalisation to unseen topologies: Towards control of biological neural network activity
Laurens Engwegen
Daan Brinks
Wendelin Bohmer
MedImAI4CE
254
0
0
17 Jun 2024
Cognitively Inspired Energy-Based World Models
Cognitively Inspired Energy-Based World Models
Alexi Gladstone
Ganesh Nanduru
Md. Mofijul Islam
Vasu Sharma
Jundong Li
Tariq Iqbal
273
0
0
13 Jun 2024
Pandora: Towards General World Model with Natural Language Actions and
  Video States
Pandora: Towards General World Model with Natural Language Actions and Video States
Jiannan Xiang
Guangyi Liu
Yi Gu
Qiyue Gao
Yuting Ning
...
Shibo Hao
Yemin Shi
Zhengzhong Liu
Eric P. Xing
Zhiting Hu
VGen
356
69
0
12 Jun 2024
Learning to Play Atari in a World of Tokens
Learning to Play Atari in a World of Tokens
Pranav Agarwal
Sheldon Andrews
Samira Ebrahimi Kahou
OffRL
285
6
0
03 Jun 2024
Rethinking Transformers in Solving POMDPs
Rethinking Transformers in Solving POMDPs
Chenhao Lu
Ruizhe Shi
Yuyao Liu
Kaizhe Hu
Simon S. Du
Huazhe Xu
AI4CE
465
9
0
27 May 2024
SoK: Leveraging Transformers for Malware Analysis
SoK: Leveraging Transformers for Malware Analysis
Pradip Kunwar
Kshitiz Aryal
Maanak Gupta
Mahmoud Abdelsalam
Elisa Bertino
526
8
0
27 May 2024
Enhancing Q-Learning with Large Language Model Heuristics
Enhancing Q-Learning with Large Language Model Heuristics
Xiefeng Wu
LRM
395
2
0
06 May 2024
Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond
Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond
Zheng Zhu
Xiaofeng Wang
Wangbo Zhao
Chen Min
Nianchen Deng
...
Dawei Zhao
Liang Xiao
Jian-jun Zhao
Jiwen Lu
Guan Huang
VGenLM&Ro
472
101
0
06 May 2024
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept,
  Taxonomy, and Methods
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods
Yuji Cao
Huan Zhao
Yuheng Cheng
Ting Shu
Guolong Liu
Gaoqi Liang
Junhua Zhao
Yun Li
LLMAGKELMOffRLLM&Ro
494
186
0
30 Mar 2024
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