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Transformers are Sample-Efficient World Models

Transformers are Sample-Efficient World Models

1 September 2022
Vincent Micheli
Eloi Alonso
Franccois Fleuret
    VLM
    OffRL
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Papers citing "Transformers are Sample-Efficient World Models"

50 / 134 papers shown
Title
SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement
  Learning
SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement Learning
Matthias Weissenbacher
Rishabh Agarwal
Yoshinobu Kawahara
OffRL
36
1
0
21 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
62
36
0
12 Jun 2024
AI Agents Under Threat: A Survey of Key Security Challenges and Future
  Pathways
AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways
Zehang Deng
Yongjian Guo
Changzhou Han
Wanlun Ma
Junwu Xiong
Sheng Wen
Yang Xiang
56
26
0
04 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
38
1
0
03 Jun 2024
Transformers and Slot Encoding for Sample Efficient Physical World
  Modelling
Transformers and Slot Encoding for Sample Efficient Physical World Modelling
Francesco Petri
Luigi Asprino
Aldo Gangemi
OCL
ViT
34
0
0
30 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
Rethinking Transformers in Solving POMDPs
Rethinking Transformers in Solving POMDPs
Chenhao Lu
Ruizhe Shi
Yuyao Liu
Kaizhe Hu
Simon S. Du
Huazhe Xu
AI4CE
37
3
0
27 May 2024
Generating Code World Models with Large Language Models Guided by Monte
  Carlo Tree Search
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search
Nicola Dainese
Matteo Merler
Minttu Alakuijala
Pekka Marttinen
LLMAG
44
9
0
24 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
54
26
0
24 May 2024
MuDreamer: Learning Predictive World Models without Reconstruction
MuDreamer: Learning Predictive World Models without Reconstruction
Maxime Burchi
Radu Timofte
40
3
0
23 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
45
0
23 May 2024
Diffusion for World Modeling: Visual Details Matter in Atari
Diffusion for World Modeling: Visual Details Matter in Atari
Eloi Alonso
Adam Jelley
Vincent Micheli
Anssi Kanervisto
Amos Storkey
Tim Pearce
Franccois Fleuret
61
46
0
20 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
VGen
LM&Ro
87
38
0
06 May 2024
Enhancing Q-Learning with Large Language Model Heuristics
Enhancing Q-Learning with Large Language Model Heuristics
Xiefeng Wu
LRM
32
0
0
06 May 2024
State-space Decomposition Model for Video Prediction Considering
  Long-term Motion Trend
State-space Decomposition Model for Video Prediction Considering Long-term Motion Trend
Fei Cui
Jiaojiao Fang
Xiaojiang Wu
Zelong Lai
Mengke Yang
Menghan Jia
Guizhong Liu
39
0
0
17 Apr 2024
Offline Trajectory Generalization for Offline Reinforcement Learning
Offline Trajectory Generalization for Offline Reinforcement Learning
Ziqi Zhao
Zhaochun Ren
Liu Yang
Fajie Yuan
Pengjie Ren
Zhumin Chen
Jun Ma
Xin Xin
OffRL
29
1
0
16 Apr 2024
Hindsight PRIORs for Reward Learning from Human Preferences
Hindsight PRIORs for Reward Learning from Human Preferences
Mudit Verma
Katherine Metcalf
50
5
0
12 Apr 2024
Tree Search-Based Policy Optimization under Stochastic Execution Delay
Tree Search-Based Policy Optimization under Stochastic Execution Delay
David Valensi
E. Derman
Shie Mannor
Gal Dalal
29
3
0
08 Apr 2024
Zero-shot Safety Prediction for Autonomous Robots with Foundation World
  Models
Zero-shot Safety Prediction for Autonomous Robots with Foundation World Models
Zhenjiang Mao
Siqi Dai
Yuang Geng
Ivan Ruchkin
48
3
0
30 Mar 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
LLMAG
KELM
OffRL
LM&Ro
48
51
0
30 Mar 2024
Towards Principled Representation Learning from Videos for Reinforcement
  Learning
Towards Principled Representation Learning from Videos for Reinforcement Learning
Dipendra Kumar Misra
Akanksha Saran
Tengyang Xie
Alex Lamb
John Langford
SSL
OffRL
42
5
0
20 Mar 2024
Do Agents Dream of Electric Sheep?: Improving Generalization in
  Reinforcement Learning through Generative Learning
Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learning
Giorgio Franceschelli
Mirco Musolesi
AI4CE
51
0
0
12 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
42
33
0
05 Mar 2024
Genie: Generative Interactive Environments
Genie: Generative Interactive Environments
Jake Bruce
Michael Dennis
Ashley D. Edwards
Jack Parker-Holder
Yuge Shi
...
Konrad Zolna
Jeff Clune
Nando de Freitas
Satinder Singh
Tim Rocktaschel
VGen
VLM
74
149
0
23 Feb 2024
Spatially-Aware Transformer for Embodied Agents
Spatially-Aware Transformer for Embodied Agents
Junmo Cho
Jaesik Yoon
Sungjin Ahn
41
0
0
23 Feb 2024
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing
  Code and Interacting with the Environment
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment
Hao Tang
Darren Key
Kevin Ellis
LLMAG
22
28
0
19 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
46
3
0
08 Feb 2024
Do Transformer World Models Give Better Policy Gradients?
Do Transformer World Models Give Better Policy Gradients?
Michel Ma
Tianwei Ni
Clement Gehring
P. DÓro
Pierre-Luc Bacon
47
4
0
07 Feb 2024
The Essential Role of Causality in Foundation World Models for Embodied
  AI
The Essential Role of Causality in Foundation World Models for Embodied AI
Tarun Gupta
Wenbo Gong
Chao Ma
Nick Pawlowski
Agrin Hilmkil
...
Jianfeng Gao
Stefan Bauer
Danica Kragic
Bernhard Schölkopf
Cheng Zhang
43
15
0
06 Feb 2024
Reinforcement Learning from Bagged Reward
Reinforcement Learning from Bagged Reward
Yuting Tang
Xin-Qiang Cai
Yao-Xiang Ding
Qiyu Wu
Guoqing Liu
Masashi Sugiyama
OffRL
36
0
0
06 Feb 2024
Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for
  Offline Reinforcement Learning
Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning
Zihan Ding
Amy Zhang
Yuandong Tian
Qinqing Zheng
OffRL
55
17
0
05 Feb 2024
Language-Guided World Models: A Model-Based Approach to AI Control
Language-Guided World Models: A Model-Based Approach to AI Control
Alex Zhang
Khanh Nguyen
Jens Tuyls
Albert Lin
Karthik Narasimhan
LLMAG
42
5
0
24 Jan 2024
Gradient-based Planning with World Models
Gradient-based Planning with World Models
V. JyothirS
Siddhartha Jalagam
Yann LeCun
Vlad Sobal
34
4
0
28 Dec 2023
Emergence of In-Context Reinforcement Learning from Noise Distillation
Emergence of In-Context Reinforcement Learning from Noise Distillation
Ilya Zisman
Vladislav Kurenkov
Alexander Nikulin
Viacheslav Sinii
Sergey Kolesnikov
OffRL
43
10
0
19 Dec 2023
Learning to Act without Actions
Learning to Act without Actions
Dominik Schmidt
Minqi Jiang
OffRL
36
31
0
17 Dec 2023
World Models via Policy-Guided Trajectory Diffusion
World Models via Policy-Guided Trajectory Diffusion
Marc Rigter
Jun Yamada
Ingmar Posner
34
19
0
13 Dec 2023
Traffic Signal Control Using Lightweight Transformers: An
  Offline-to-Online RL Approach
Traffic Signal Control Using Lightweight Transformers: An Offline-to-Online RL Approach
Xingshuai Huang
Di Wu
Benoit Boulet
OffRL
27
2
0
12 Dec 2023
Prospective Role of Foundation Models in Advancing Autonomous Vehicles
Prospective Role of Foundation Models in Advancing Autonomous Vehicles
Jianhua Wu
B. Gao
Jincheng Gao
Jianhao Yu
Hongqing Chu
...
Xun Gong
Yi Chang
H. E. Tseng
Hong Chen
Jie Chen
48
4
0
08 Dec 2023
Harnessing Discrete Representations For Continual Reinforcement Learning
Harnessing Discrete Representations For Continual Reinforcement Learning
Edan Meyer
Adam White
Marlos C. Machado
OffRL
46
4
0
02 Dec 2023
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via
  Discrete Diffusion
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion
Lunjun Zhang
Yuwen Xiong
Ze Yang
Sergio Casas
Rui Hu
R. Urtasun
52
51
0
02 Nov 2023
Multi Time Scale World Models
Multi Time Scale World Models
Vaisakh Shaj
Saleh Gholam Zadeh
Ozan Demir
L. R. Douat
Gerhard Neumann
AI4CE
33
3
0
27 Oct 2023
Towards Control-Centric Representations in Reinforcement Learning from
  Images
Towards Control-Centric Representations in Reinforcement Learning from Images
Chen Liu
Hongyu Zang
Xin Li
Yong Heng
Yifei Wang
Zhen Fang
Yisen Wang
Mingzhong Wang
33
0
0
25 Oct 2023
STORM: Efficient Stochastic Transformer based World Models for
  Reinforcement Learning
STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning
Weipu Zhang
Gang Wang
Jian Sun
Yetian Yuan
Gao Huang
65
34
0
14 Oct 2023
Memory-Consistent Neural Networks for Imitation Learning
Memory-Consistent Neural Networks for Imitation Learning
Kaustubh Sridhar
Souradeep Dutta
Dinesh Jayaraman
James Weimer
Insup Lee
44
8
0
09 Oct 2023
Learning Interactive Real-World Simulators
Learning Interactive Real-World Simulators
Mengjiao Yang
Yilun Du
Kamyar Ghasemipour
Jonathan Tompson
Leslie Kaelbling
Dale Schuurmans
Pieter Abbeel
LM&Ro
PINN
30
183
0
09 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
29
4
0
08 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
41
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
41
217
0
29 Sep 2023
How Safe Am I Given What I See? Calibrated Prediction of Safety Chances
  for Image-Controlled Autonomy
How Safe Am I Given What I See? Calibrated Prediction of Safety Chances for Image-Controlled Autonomy
Zhenjiang Mao
Carson Sobolewski
I. Ruchkin
34
8
0
23 Aug 2023
BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning
BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning
Omer Veysel Cagatan
Barış Akgün
BDL
OffRL
35
3
0
08 Aug 2023
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