世界模型 - arXivDaily 专题

2504.08821 2025-10-16 cs.LG stat.ML 68%

Probabilistic QoS Metric Forecasting in Delay-Tolerant Networks Using Conditional Diffusion Models on Latent Dynamics

Enming Zhang, Zheng Liu, Yu Xiang, Yanwen Qu

机构 * School of Computer Science Nanjing University of Posts（南京邮电大学计算机科学学院）

专题命中模型式强化学习：latent dynamics(title)；分类 cs.LG

2508.09971 2025-10-02 cs.RO cs.AI 68%

Vision-driven River Following of UAV via Safe Reinforcement Learning using Semantic Dynamics Model

Zihan Wang, Nina Mahmoudian

机构 * School of Mechanical Engineering, Purdue University（机械工程学院，普渡大学）

专题命中模型式强化学习：dynamics model(title,abstract)；model-based RL(abstract)；分类 cs.AI、cs.RO

Comments Submitted to Robotics and Autonomous Systems (RAS) journal

2507.02639 2025-07-04 cs.LG 68%

On Efficient Bayesian Exploration in Model-Based Reinforcement Learning

Alberto Caron, Chris Hicks, Vasilios Mavroudis

机构 * The Alan Turing Institute（艾伦·图灵研究所）

专题命中模型式强化学习：model-based reinforcement learning(title)；分类 cs.LG

2506.16216 2025-06-23 cs.LG 68%

From Pixels to CSI: Distilling Latent Dynamics For Efficient Wireless Resource Management

Charbel Bou Chaaya, Abanoub M. Girgis, Mehdi Bennis

专题命中模型式强化学习：latent dynamics(title)；分类 cs.LG

2505.23569 2025-05-30 cs.LG stat.ML 68%

Maximum Likelihood Learning of Latent Dynamics Without Reconstruction

Samo Hromadka, Kai Biegun, Lior Fox, James Heald, Maneesh Sahani

专题命中模型式强化学习：latent dynamics(title)；分类 cs.LG

2206.04044 2025-03-18 cs.LG cs.GT cs.IT math.IT math.ST stat.ML stat.TH 68%

Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games

Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan

专题命中模型式强化学习：model-based reinforcement learning(title)；分类 cs.LG

Comments accepted to Operations Research

Journal ref Operations Research, vol. 72, no. 6, pp. 2430-2445, 2024

2005.12900 2025-03-18 cs.LG cs.IT math.IT math.OC math.ST stat.ML stat.TH 68%

Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model

Gen Li, Yuting Wei, Yuejie Chi, Yuxin Chen

专题命中模型式强化学习：model-based reinforcement learning(title)；分类 cs.LG

Comments accepted Operations Research

Journal ref Operations Research, vol. 72, no. 1, pp. 203-221, 2024

2410.11711 2025-02-17 stat.ML cs.LG 68%

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, Ievgen Redko, Balázs Kégl

专题命中模型式强化学习：model-based reinforcement learning(title)；分类 cs.LG

Journal ref The Thirteenth International Conference on Learning Representations (ICLR 2025)

2410.09163 2024-10-29 cs.RO cs.LG math.OC 68%

Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models

Jacob Levy, Tyler Westenbroek, David Fridovich-Keil

专题命中模型式强化学习：dynamics model(title,abstract)；model-based reinforcement learning(abstract)；分类 cs.LG、cs.RO

Comments v2: corrected typos in eqs (1) and (3); add CoRL footnote

2410.12160 2024-10-17 cs.LG cs.SY eess.SY 68%

When to Trust Your Data: Enhancing Dyna-Style Model-Based Reinforcement Learning With Data Filter

Yansong Li, Zeyu Dong, Ertai Luo, Yu Wu, Shuo Wu, Shuo Han

专题命中模型式强化学习：model-based reinforcement learning(title)；分类 cs.LG

2405.06089 2024-06-27 eess.SY cs.IT cs.LG cs.SY math.IT 68%

Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds

Yuyang Zhang, Shahriar Talebi, Na Li

专题命中模型式强化学习：latent dynamics(title)；分类 cs.LG

2204.11744 2024-06-19 math.OC cs.LG cs.NA math.NA physics.comp-ph 68%

Stability Preserving Data-driven Models With Latent Dynamics

Yushuang Luo, Xiantao Li, Wenrui Hao

专题命中模型式强化学习：latent dynamics(title)；分类 cs.LG

2404.19462 2024-05-01 cs.LG 68%

Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation

Cengis Hasan, Alexandros Agapitos, David Lynch, Alberto Castagna, Giorgio Cruciata, Hao Wang, Aleksandar Milenovic

专题命中模型式强化学习：model-based reinforcement learning(title)；分类 cs.LG

Comments Published at ECML 2023

2209.00905 2024-04-11 cs.LG cond-mat.dis-nn cond-mat.stat-mech physics.chem-ph physics.comp-ph 68%

From latent dynamics to meaningful representations

Dedi Wang, Yihang Wang, Luke Evans, Pratyush Tiwary

专题命中模型式强化学习：latent dynamics(title)；分类 cs.LG

1903.00374 2024-04-04 cs.LG stat.ML 68%

Model-Based Reinforcement Learning for Atari

Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos, Blazej Osinski, Roy H Campbell, Konrad Czechowski, Dumitru Erhan, Chelsea Finn, Piotr Kozakowski, Sergey Levine, Afroz Mohiuddin, Ryan Sepassi, George Tucker, Henryk Michalewski

专题命中模型式强化学习：model-based reinforcement learning(title)；分类 cs.LG

2402.00313 2024-02-02 cs.LG cs.SY eess.SY 68%

Control in Stochastic Environment with Delays: A Model-based Reinforcement Learning Approach

Zhiyuan Yao, Ionut Florescu, Chihoon Lee

专题命中模型式强化学习：model-based reinforcement learning(title)；分类 cs.LG

Comments Under Review

2202.07403 2023-12-01 stat.ML cs.LG stat.AP 68%

Deep learning and differential equations for modeling changes in individual-level latent dynamics between observation periods

Göran Köber, Raffael Kalisch, Lara Puhlmann, Andrea Chmitorz, Anita Schick, Harald Binder

专题命中模型式强化学习：latent dynamics(title)；分类 cs.LG

2310.11515 2023-10-19 cs.LG 68%

Value-Biased Maximum Likelihood Estimation for Model-based Reinforcement Learning in Discounted Linear MDPs

Yu-Heng Hung, Ping-Chun Hsieh, Akshay Mete, P. R. Kumar

专题命中模型式强化学习：model-based reinforcement learning(title)；分类 cs.LG

2111.06211 2023-06-21 eess.SY cs.LG cs.SY 68%

Model-Based Reinforcement Learning via Stochastic Hybrid Models

Hany Abdulsamad, Jan Peters

专题命中模型式强化学习：model-based reinforcement learning(title)；分类 cs.LG

2305.08350 2023-05-16 cs.LG math.OC stat.ML 68%

Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension

Yue Wu, Jiafan He, Quanquan Gu

专题命中模型式强化学习：model-based RL(title)；分类 cs.LG

Comments 21 pages, 1 table. To appear in UAI 2023

2206.01162 2023-05-05 cs.LG math.OC stat.ML 68%

Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning

Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Brian M. Sadler, Furong Huang, Pratap Tokekar, Dinesh Manocha

专题命中模型式强化学习：model-based reinforcement learning(title)；分类 cs.LG

2208.11197 2023-04-25 cs.CV 68%

Modelling Latent Dynamics of StyleGAN using Neural ODEs

Weihao Xia, Yujiu Yang, Jing-Hao Xue

专题命中模型式强化学习：latent dynamics(title)；分类 cs.CV

2202.06545 2023-03-31 cs.LG 68%

Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization

Mirco Mutti, Riccardo De Santi, Emanuele Rossi, Juan Felipe Calderon, Michael Bronstein, Marcello Restelli

专题命中模型式强化学习：model-based reinforcement learning(title)；分类 cs.LG

Comments AAAI 2023

2301.10391 2023-02-08 cs.LG physics.comp-ph 68%

Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems

Zhong Yi Wan, Leonardo Zepeda-Núñez, Anudhyan Boral, Fei Sha

专题命中模型式强化学习：latent dynamics(title)；分类 cs.LG

Comments 25 pages, 9 figures

2112.14195 2023-01-10 cs.LG stat.ML 68%

Exponential Family Model-Based Reinforcement Learning via Score Matching

Gene Li, Junbo Li, Anmol Kabra, Nathan Srebro, Zhaoran Wang, Zhuoran Yang

专题命中模型式强化学习：model-based reinforcement learning(title)；分类 cs.LG

Comments NeurIPS 2022

2106.05497 2021-12-07 cs.LG 68%

Hyperspace Neighbor Penetration Approach to Dynamic Programming for Model-Based Reinforcement Learning Problems with Slowly Changing Variables in A Continuous State Space

Vincent Zha, Ivey Chiu, Alexandre Guilbault, Jaime Tatis

专题命中模型式强化学习：model-based reinforcement learning(title)；分类 cs.LG

Comments 8 pages, 7 figures

2012.09613 2021-11-18 cs.LG 68%

Model-based Reinforcement Learning for Continuous Control with Posterior Sampling

Ying Fan, Yifei Ming

专题命中模型式强化学习：model-based reinforcement learning(title)；分类 cs.LG

Comments Accepted to ICML 2021

Journal ref Proceedings of the 38th International Conference on Machine Learning, PMLR 139:3078-3087, 2021

2111.05458 2021-11-11 stat.ML cs.LG 68%

Which priors matter? Benchmarking models for learning latent dynamics

Aleksandar Botev, Andrew Jaegle, Peter Wirnsberger, Daniel Hennes, Irina Higgins

专题命中模型式强化学习：latent dynamics(title)；分类 cs.LG

2109.14311 2021-09-30 cs.LG cs.RO 68%

Learning Dynamics Models for Model Predictive Agents

Michael Lutter, Leonard Hasenclever, Arunkumar Byravan, Gabriel Dulac-Arnold, Piotr Trochim, Nicolas Heess, Josh Merel, Yuval Tassa

专题命中模型式强化学习：dynamics model(title,abstract)；model-based reinforcement learning(abstract)；分类 cs.LG、cs.RO

2108.08960 2021-08-23 cs.LG 68%

Plug and Play, Model-Based Reinforcement Learning

Majid Abdolshah, Hung Le, Thommen Karimpanal George, Sunil Gupta, Santu Rana, Svetha Venkatesh

专题命中模型式强化学习：model-based reinforcement learning(title)；分类 cs.LG

1. 模型式强化学习 1124 篇

Probabilistic QoS Metric Forecasting in Delay-Tolerant Networks Using Conditional Diffusion Models on Latent Dynamics

Vision-driven River Following of UAV via Safe Reinforcement Learning using Semantic Dynamics Model

On Efficient Bayesian Exploration in Model-Based Reinforcement Learning

From Pixels to CSI: Distilling Latent Dynamics For Efficient Wireless Resource Management

Maximum Likelihood Learning of Latent Dynamics Without Reconstruction

Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games

Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model

Zero-shot Model-based Reinforcement Learning using Large Language Models

Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models

When to Trust Your Data: Enhancing Dyna-Style Model-Based Reinforcement Learning With Data Filter

Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds

Stability Preserving Data-driven Models With Latent Dynamics

Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation

From latent dynamics to meaningful representations

Model-Based Reinforcement Learning for Atari

Control in Stochastic Environment with Delays: A Model-based Reinforcement Learning Approach

Deep learning and differential equations for modeling changes in individual-level latent dynamics between observation periods

Value-Biased Maximum Likelihood Estimation for Model-based Reinforcement Learning in Discounted Linear MDPs

Model-Based Reinforcement Learning via Stochastic Hybrid Models

Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension

Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning

Modelling Latent Dynamics of StyleGAN using Neural ODEs

Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization

Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems

Exponential Family Model-Based Reinforcement Learning via Score Matching

Hyperspace Neighbor Penetration Approach to Dynamic Programming for Model-Based Reinforcement Learning Problems with Slowly Changing Variables in A Continuous State Space

Model-based Reinforcement Learning for Continuous Control with Posterior Sampling

Which priors matter? Benchmarking models for learning latent dynamics

Learning Dynamics Models for Model Predictive Agents

Plug and Play, Model-Based Reinforcement Learning