世界模型 - arXivDaily 专题

2407.09249 2024-10-01 cs.MA cs.AI 76%

Graph Neural Networks with Model-based Reinforcement Learning for Multi-agent Systems

Hanxiao Chen

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

Comments The paper abstract has been accepted by NeurIPS 2024 WiML Workshop.(https://www.wiml.org/events/wiml-workshop-%40-neurips-2024)

2409.17896 2024-09-27 cs.RO cs.LG cs.SY eess.SY 76%

Model-Free versus Model-Based Reinforcement Learning for Fixed-Wing UAV Attitude Control Under Varying Wind Conditions

David Olivares, Pierre Fournier, Pavan Vasishta, Julien Marzat

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

Comments Published at ICINCO 2024

Journal ref In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics (ICINCO 2024)

2206.09743 2024-09-13 cs.AI cs.LG cs.SY eess.SY 76%

Guided Safe Shooting: model based reinforcement learning with safety constraints

Giuseppe Paolo, Jonas Gonzalez-Billandon, Albert Thomas, Balázs Kégl

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

2406.02616 2024-09-12 cs.LG cs.AI 76%

Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach

Yuxuan Chen, Rongpeng Li, Xiaoxue Yu, Zhifeng Zhao, Honggang Zhang

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

2407.19532 2024-07-30 cs.AI cs.LG 76%

The Interpretability of Codebooks in Model-Based Reinforcement Learning is Limited

Kenneth Eaton, Jonathan Balloch, Julia Kim, Mark Riedl

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

2406.16006 2024-06-25 cs.LG cs.AI 76%

Bounding-Box Inference for Error-Aware Model-Based Reinforcement Learning

Erin J. Talvitie, Zilei Shao, Huiying Li, Jinghan Hu, Jacob Boerma, Rory Zhao, Xintong Wang

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

Comments To appear: Reinforcement Learning Conference (RLC), 2024

2404.17535 2024-04-29 cs.LG cs.AI 76%

Using Neural Implicit Flow To Represent Latent Dynamics Of Canonical Systems

Imran Nasim, Joaõ Lucas de Sousa Almeida

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

Comments Accepted into the International conference on Scientific Computation and Machine Learning 2024 (SCML 2024)

2310.06253 2024-04-09 cs.LG 76%

A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning

Ran Wei, Nathan Lambert, Anthony McDonald, Alfredo Garcia, Roberto Calandra

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

2402.15636 2024-02-27 cs.LG cs.CE cs.NA math-ph math.MP math.NA 76%

Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization

Xiaoyu Xie, Saviz Mowlavi, Mouhacine Benosman

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

2310.13576 2024-02-14 cs.LG cs.AI 76%

Tree Search in DAG Space with Model-based Reinforcement Learning for Causal Discovery

Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi

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

2401.00242 2024-01-02 astro-ph.IM cs.LG cs.RO 76%

Laboratory Experiments of Model-based Reinforcement Learning for Adaptive Optics Control

Jalo Nousiainen, Byron Engler, Markus Kasper, Chang Rajani, Tapio Helin, Cédric T. Heritier, Sascha P. Quanz, Adrian M. Glauser

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

Comments Accepted for publication in JATIS

2310.07220 2024-01-02 cs.LG 76%

COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL

Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang

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

Comments 22 pages, 17 figures

2312.09906 2023-12-18 cs.RO cs.AI 76%

Sample-Efficient Learning to Solve a Real-World Labyrinth Game Using Data-Augmented Model-Based Reinforcement Learning

Thomas Bi, Raffaello D'Andrea

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

2210.08349 2023-11-09 cs.LG cs.AI 76%

When to Update Your Model: Constrained Model-based Reinforcement Learning

Tianying Ji, Yu Luo, Fuchun Sun, Mingxuan Jing, Fengxiang He, Wenbing Huang

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

Comments NeurIPS 2022

2310.19848 2023-11-01 cs.LG cs.RO math.OC 76%

Efficient Exploration in Continuous-time Model-based Reinforcement Learning

Lenart Treven, Jonas Hübotter, Bhavya Sukhija, Florian Dörfler, Andreas Krause

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

2310.08674 2023-10-16 cs.RO 76%

Pay Attention to How You Drive: Safe and Adaptive Model-Based Reinforcement Learning for Off-Road Driving

Sean J. Wang, Honghao Zhu, Aaron M. Johnson

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

2310.05672 2023-10-12 cs.LG stat.ML 76%

Multi-timestep models for Model-based Reinforcement Learning

Abdelhakim Benechehab, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl

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

2304.09718 2023-10-03 quant-ph cs.AI cs.LG 76%

Sample-efficient Model-based Reinforcement Learning for Quantum Control

Irtaza Khalid, Carrie A. Weidner, Edmond A. Jonckheere, Sophie G. Shermer, Frank C. Langbein

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

Comments 14+10 pages, 6+6 figures, revised version

Journal ref Phys. Rev. Research 5, 043002 (2023)

2102.10205 2023-08-11 eess.SY cs.LG cs.SY 76%

CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels

Yongqian Xiao, Xin Xu, QianLi Lin

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

Comments 8 pages, 7 figures

Journal ref CAAI Transactions on Intelligence Technology (2023)

2204.01464 2023-06-22 cs.LG cs.AI 76%

Value Gradient weighted Model-Based Reinforcement Learning

Claas Voelcker, Victor Liao, Animesh Garg, Amir-massoud Farahmand

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

2305.12663 2023-05-23 cs.LG cs.AI 76%

TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching

Yecheng Jason Ma, Kausik Sivakumar, Jason Yan, Osbert Bastani, Dinesh Jayaraman

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

Comments L4DC 2023; Project website: https://penn-pal-lab.github.io/TOM/

2305.03360 2023-05-08 cs.LG cs.AI cs.SY eess.SY 76%

A Survey on Offline Model-Based Reinforcement Learning

Haoyang He

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

2109.05549 2023-04-04 cs.LG cs.DC 76%

Federated Ensemble Model-based Reinforcement Learning in Edge Computing

Jin Wang, Jia Hu, Jed Mills, Geyong Min, Ming Xia

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

2303.03955 2023-03-08 cs.LG 76%

Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning

Daniel Palenicek, Michael Lutter, Joao Carvalho, Jan Peters

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

Comments Published as a conference paper at ICLR 2023

2303.00694 2023-03-02 cs.LG cs.RO cs.SY eess.SY 76%

The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms

Anirudh Vemula, Yuda Song, Aarti Singh, J. Andrew Bagnell, Sanjiban Choudhury

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

2201.12569 2022-12-29 cs.LG cs.AI 76%

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes

Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei

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

Journal ref AAAI2023

2206.07659 2022-10-18 cs.LG cs.AI stat.ML 76%

Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity

Alekh Agarwal, Tong Zhang

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

Comments NeurIPS 2022 camera ready version

2210.07553 2022-10-17 cs.RO cs.LG cs.SY eess.SY 76%

Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate

Dongjie Yu, Wenjun Zou, Yujie Yang, Haitong Ma, Shengbo Eben Li, Jingliang Duan, Jianyu Chen

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

Comments 12 pages, 6 figures

2111.08550 2022-07-06 cs.LG cs.AI stat.ML 76%

On Effective Scheduling of Model-based Reinforcement Learning

Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li

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

Comments Accepted at NeurIPS2021

2206.02380 2022-06-08 cs.LG cs.AI 76%

Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL

Abhinav Bhatia, Philip S. Thomas, Shlomo Zilberstein

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

1. 模型式强化学习 1126 篇

Graph Neural Networks with Model-based Reinforcement Learning for Multi-agent Systems

Model-Free versus Model-Based Reinforcement Learning for Fixed-Wing UAV Attitude Control Under Varying Wind Conditions

Guided Safe Shooting: model based reinforcement learning with safety constraints

Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach

The Interpretability of Codebooks in Model-Based Reinforcement Learning is Limited

Bounding-Box Inference for Error-Aware Model-Based Reinforcement Learning

Using Neural Implicit Flow To Represent Latent Dynamics Of Canonical Systems

A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning

Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization

Tree Search in DAG Space with Model-based Reinforcement Learning for Causal Discovery

Laboratory Experiments of Model-based Reinforcement Learning for Adaptive Optics Control

COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL

Sample-Efficient Learning to Solve a Real-World Labyrinth Game Using Data-Augmented Model-Based Reinforcement Learning

When to Update Your Model: Constrained Model-based Reinforcement Learning

Efficient Exploration in Continuous-time Model-based Reinforcement Learning

Pay Attention to How You Drive: Safe and Adaptive Model-Based Reinforcement Learning for Off-Road Driving

Multi-timestep models for Model-based Reinforcement Learning

Sample-efficient Model-based Reinforcement Learning for Quantum Control

CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels

Value Gradient weighted Model-Based Reinforcement Learning

TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching

A Survey on Offline Model-Based Reinforcement Learning

Federated Ensemble Model-based Reinforcement Learning in Edge Computing

Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning

The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes

Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity

Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate

On Effective Scheduling of Model-based Reinforcement Learning

Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL