世界模型

Joint Velocity-Growth Flow Matching for Single-Cell Dynamics Modeling

Dongyi Wang, Yuanwei Jiang, Zhenyi Zhang, Xiang Gu, Peijie Zhou, Jian Sun

机构 * School of Mathematics and Statistics, Xi’an Jiaotong University（西安交通大学数学与统计学学院） ； LMAM and School of Mathematical Sciences, Peking University（北京大学理学院） ； Center for Machine Learning Research, Peking University（北京大学机器学习研究中心） 纠错

专题命中 模型式强化学习 ：dynamics model(title,abstract)；分类 cs.LG

Automotive Crash Dynamics Modeling Accelerated with Machine Learning

Mohammad Amin Nabian, Sudeep Chavare, Deepak Akhare, Rishikesh Ranade, Ram Cherukuri, Srinivas Tadepalli

专题命中 模型式强化学习 ：dynamics model(title)；分类 cs.AI、cs.LG

Robust Online Residual Refinement via Koopman-Guided Dynamics Modeling

Zhefei Gong, Shangke Lyu, Pengxiang Ding, Wei Xiao, Donglin Wang

机构 * Westlake University（西湖大学） ； Nanjing University（南京大学） ； Zhejiang University（浙江大学） 纠错

专题命中 模型式强化学习 ：dynamics model(title,abstract)；分类 cs.RO

Multi-Timescale Dynamics Model Bayesian Optimization for Plasma Stabilization in Tokamaks

Rohit Sonker, Alexandre Capone, Andrew Rothstein, Hiro Josep Farre Kaga, Egemen Kolemen, Jeff Schneider

机构 * Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA（卡内基梅隆大学机器人研究所） ； Princeton University, Princeton, NJ, USA（普林斯顿大学） ； Princeton Plasma Physics Laboratory, Princeton, NJ, US（普林斯顿等离子物理实验室） 纠错

专题命中 模型式强化学习 ：dynamics model(title,abstract)；分类 cs.RO

Interpretable Neural System Dynamics: Combining Deep Learning with System Dynamics Modeling to Support Critical Applications

Riccardo D'Elia

机构 * University of Applied Sciences and Arts of Southern Switzerland（瑞士南瑞士应用科学与艺术大学） ； Dalle Molle Institute for Artificial Intelligence（达勒莫勒人工智能研究所） 纠错

专题命中 模型式强化学习 ：dynamics model(title)；分类 cs.AI、cs.LG

Comments To be submitted to CEUR-WS.org for publication in the Doctoral Consortium Proceedings of XAI 2025, The World Conference on Explainable Artificial Intelligence

Strategic Jenga Play via Graph Based Dynamics Modeling

Kavya Puthuveetil, Xinyi Zhang, Kazuto Yokoyama, Tetsuya Narita

机构 * Robotics Institute, Carnegie Mellon University（卡内基梅隆大学机器人研究所） ； Sony Group Corporation（索尼集团） 纠错

专题命中 模型式强化学习 ：dynamics model(title,abstract)；分类 cs.RO

Comments 5 pages, Oral Spotlight at ICRA 2025 Workshop "Learning Meets Model-Based Methods for Contact-Rich Manipulation"

An Iterative LQR Controller for Off-Road and On-Road Vehicles using a Neural Network Dynamics Model

Akhil Nagariya, Srikanth Saripalli

专题命中 模型式强化学习 ：dynamics model(title)；分类 cs.LG、cs.RO

Journal ref 2020 IEEE Intelligent Vehicles Symposium (IV)

VividListener: Expressive and Controllable Listener Dynamics Modeling for Multi-Modal Responsive Interaction

Shiying Li, Xingqun Qi, Bingkun Yang, Chen Weile, Zezhao Tian, Muyi Sun, Qifeng Liu, Man Zhang, Zhenan Sun

机构 * Beijing University of Posts and Telecommunications（北京邮电大学） ； Hong Kong University of Science and Technology（香港科技大学） ； Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所） 纠错

专题命中 模型式强化学习 ：dynamics model(title,abstract)；分类 cs.CV

Leveraging Large Language Models for Automated Causal Loop Diagram Generation: Enhancing System Dynamics Modeling through Curated Prompting Techniques

Ning-Yuan Georgia Liu, David R. Keith

专题命中 模型式强化学习 ：dynamics model(title,abstract)；分类 cs.LG

Residual Learning towards High-fidelity Vehicle Dynamics Modeling with Transformer

Jinyu Miao, Rujun Yan, Bowei Zhang, Tuopu Wen, Kun Jiang, Mengmeng Yang, Jin Huang, Zhihua Zhong, Diange Yang

专题命中 模型式强化学习 ：dynamics model(title,abstract)；分类 cs.RO

Comments 8 pages, 4 figures, 5 tables

BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation

Zhengrui Guo, Fangxu Zhou, Wei Wu, Qichen Sun, Lishuang Feng, Jinzhuo Wang, Hao Chen

专题命中 模型式强化学习 ：dynamics model(title,abstract)；分类 cs.LG

Comments Accepted by ICLR'2025

A Constraint Embedding Approach for Dynamics Modeling of Parallel Kinematic Manipulators with Hybrid Limbs

Andreas Mueller

专题命中 模型式强化学习 ：dynamics model(title,abstract)；分类 cs.RO

Journal ref Robotics and Autonomous Systems, Volume 155, September 2022

Dynamics Modeling using Visual Terrain Features for High-Speed Autonomous Off-Road Driving

Jason Gibson, Anoushka Alavilli, Erica Tevere, Evangelos A. Theodorou, Patrick Spieler

专题命中 模型式强化学习 ：dynamics model(title,abstract)；分类 cs.RO

Comments Jason Gibson and Anoushka Alavilli contributed equally

Recurrent Stochastic Configuration Networks with Hybrid Regularization for Nonlinear Dynamics Modelling

Gang Dang, Dianhui Wang

专题命中 模型式强化学习 ：dynamics model(title)；分类 cs.AI、cs.LG

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing

Jingyun Ning, Madhur Behl

专题命中 模型式强化学习 ：dynamics model(title,abstract)；分类 cs.RO

Comments 13 pages, 6 figures, 4 tables; submitted to 7th Annual Learning for Dynamics & Control Conference

QT-TDM: Planning With Transformer Dynamics Model and Autoregressive Q-Learning

Mostafa Kotb, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter

专题命中 模型式强化学习 ：dynamics model(title,abstract)；分类 cs.LG

Comments Accepted by IEEE Robotics and Automation Letters (RA-L)

DOFS: A Real-world 3D Deformable Object Dataset with Full Spatial Information for Dynamics Model Learning

Zhen Zhang, Xiangyu Chu, Yunxi Tang, K. W. Samuel Au

专题命中 模型式强化学习 ：dynamics model(title)；分类 cs.CV、cs.RO

Comments 5 pages, 6 figures, 2024 CoRL Workshop on Learning Robot Fine and Dexterous Manipulation: Perception and Control

Generalized Flow Matching for Transition Dynamics Modeling

Haibo Wang, Yuxuan Qiu, Yanze Wang, Rob Brekelmans, Yuanqi Du

专题命中 模型式强化学习 ：dynamics model(title)；分类 cs.AI、cs.LG

AnyCar to Anywhere: Learning Universal Dynamics Model for Agile and Adaptive Mobility

Wenli Xiao, Haoru Xue, Tony Tao, Dvij Kalaria, John M. Dolan, Guanya Shi

专题命中 模型式强化学习 ：dynamics model(title,abstract)；分类 cs.RO

Comments Paper website: https://lecar-lab.github.io/anycar/. The first two authors have equal contribution. Under review at ICRA 2025

Online Adaptation of Learned Vehicle Dynamics Model with Meta-Learning Approach

Yuki Tsuchiya, Thomas Balch, Paul Drews, Guy Rosman

专题命中 模型式强化学习 ：dynamics model(title,abstract)；分类 cs.RO

Comments 8 Pages, 6 Figures, IROS 2024

Kinematics and Dynamics Modeling of 7 Degrees of Freedom Human Lower Limb Using Dual Quaternions Algebra

Zineb Benhmidouch, Saad Moufid, Aissam Ait Omar

专题命中 模型式强化学习 ：dynamics model(title)；分类 cs.AI、cs.RO

Comments 10 pages and 8 figures

Learning dynamics models for velocity estimation in autonomous racing

Jan Węgrzynowski, Grzegorz Czechmanowski, Piotr Kicki, Krzysztof Walas

专题命中 模型式强化学习 ：dynamics model(title,abstract)；分类 cs.RO

SDGym: Low-Code Reinforcement Learning Environments using System Dynamics Models

Emmanuel Klu, Sameer Sethi, DJ Passey, Donald Martin

专题命中 模型式强化学习 ：dynamics model(title)；分类 cs.LG；simulation model(abstract)

Comments Presented at ISDC 2024, Bergen, Norway

Markov Chain Monte Carlo with Gaussian Process Emulation for a 1D Hemodynamics Model of CTEPH

Amirreza Kachabi, Mitchel J. Colebank, Sofia Altieri Correa, Naomi C. Chesler

专题命中 模型式强化学习 ：dynamics model(title,abstract)；分类 cs.LG

Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning

Haoxin Lin, Yu-Yan Xu, Yihao Sun, Zhilong Zhang, Yi-Chen Li, Chengxing Jia, Junyin Ye, Jiaji Zhang, Yang Yu

专题命中 模型式强化学习 ：dynamics model(title,abstract)；分类 cs.LG

Dynamics Models in the Aggressive Off-Road Driving Regime

Tyler Han, Sidharth Talia, Rohan Panicker, Preet Shah, Neel Jawale, Byron Boots

专题命中 模型式强化学习 ：dynamics model(title,abstract)；分类 cs.RO

Comments Accepted to ICRA 2024 Workshop on Resilient Off-road Autonomy

Transfer of Safety Controllers Through Learning Deep Inverse Dynamics Model

Alireza Nadali, Ashutosh Trivedi, Majid Zamani

专题命中 模型式强化学习 ：dynamics model(title)；分类 cs.AI、cs.LG

Comments Extended Version, submitted to ADHS 2024

Learning Causal Dynamics Models in Object-Oriented Environments

Zhongwei Yu, Jingqing Ruan, Dengpeng Xing

专题命中 模型式强化学习 ：dynamics model(title,abstract)；分类 cs.LG

Comments Accepted by ICML 2024. 42 Pages

Task-Oriented Active Learning of Model Preconditions for Inaccurate Dynamics Models

Alex LaGrassa, Moonyoung Lee, Oliver Kroemer

专题命中 模型式强化学习 ：dynamics model(title,abstract)；分类 cs.RO

Comments Accepted to International Conference on Robotics and Automation 2024. Will be presented May 2024

Towards Robust Car Following Dynamics Modeling via Blackbox Models: Methodology, Analysis, and Recommendations

Muhammad Bilal Shahid, Cody Fleming

专题命中 模型式强化学习 ：dynamics model(title)；分类 cs.LG、cs.RO