世界模型

Learning global control of underactuated systems with Model-Based Reinforcement Learning

Niccolò Turcato, Marco Calì, Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli, Diego Romeres

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

Comments arXiv admin note: substantial text overlap with arXiv:2409.05811

On Rollouts in Model-Based Reinforcement Learning

Bernd Frauenknecht, Devdutt Subhasish, Friedrich Solowjow, Sebastian Trimpe

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

Generalizable Implicit Neural Representations via Parameterized Latent Dynamics for Baroclinic Ocean Forecasting

Guang Zhao, Xihaier Luo, Seungjun Lee, Yihui Ren, Shinjae Yoo, Luke Van Roekel, Balu Nadiga, Sri Hari Krishna Narayanan, Yixuan Sun, Wei Xu

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

Multi-agent Uncertainty-Aware Pessimistic Model-Based Reinforcement Learning for Connected Autonomous Vehicles

Ruoqi Wen, Rongpeng Li, Xing Xu, Zhifeng Zhao

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

Comments 17 pages, 7 figures

Data efficient Robotic Object Throwing with Model-Based Reinforcement Learning

Niccolò Turcato, Giulio Giacomuzzo, Matteo Terreran, Davide Allegro, Ruggero Carli, Alberto Dalla Libera

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

Comments Preprint under review

EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning

Siddharth Aravindan, Dixant Mittal, Wee Sun Lee

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

Journal ref Asian Conference on Machine Learning 2024

Digital Twin Calibration with Model-Based Reinforcement Learning

Hua Zheng, Wei Xie, Ilya O. Ryzhov, Keilung Choy

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

Comments 28 pages, 6 figures

Parametric Taylor series based latent dynamics identification neural networks

Xinlei Lin, Dunhui Xiao

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

Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting

Christian Klötergens, Vijaya Krishna Yalavarthi, Maximilian Stubbemann, Lars Schmidt-Thieme

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

Learning control of underactuated double pendulum with Model-Based Reinforcement Learning

Niccolò Turcato, Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli, Diego Romeres

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

Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiology

Matteo Salvador, Alison L. Marsden

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

Identifying Ordinary Differential Equations for Data-efficient Model-based Reinforcement Learning

Tobias Nagel, Marco F. Huber

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

Comments 10 pages, 6 figures, accepted at the IEEE World Congress on Computational Intelligence 2024

Rich-Observation Reinforcement Learning with Continuous Latent Dynamics

Yuda Song, Lili Wu, Dylan J. Foster, Akshay Krishnamurthy

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

Comments 63 pages, 4 figures, published at ICML 2024

Model-based reinforcement learning for protein backbone design

Frederic Renard, Cyprien Courtot, Alfredo Reichlin, Oliver Bent

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

Robust Model Based Reinforcement Learning Using $\mathcal{L}_1$ Adaptive Control

Minjun Sung, Sambhu H. Karumanchi, Aditya Gahlawat, Naira Hovakimyan

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

Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework

Yubo Ye, Sumeet Vadhavkar, Xiajun Jiang, Ryan Missel, Huafeng Liu, Linwei Wang

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

Comments Under Review

Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models

Yule Wang, Zijing Wu, Chengrui Li, Anqi Wu

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

A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning

Abdelhakim Benechehab, Albert Thomas, Giuseppe Paolo, 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

The Power of MEME: Adversarial Malware Creation with Model-Based Reinforcement Learning

Maria Rigaki, Sebastian Garcia

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

Comments 12 pages, 3 figures, 3 tables. Accepted at ESORICS 2023

An Analysis of Model-Based Reinforcement Learning From Abstracted Observations

Rolf A. N. Starre, Marco Loog, Elena Congeduti, Frans A. Oliehoek

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

Comments 36 pages, 2 figures, published in Transactions on Machine Learning Research (TMLR) 2023

Learning to Shape by Grinding: Cutting-surface-aware Model-based Reinforcement Learning

Takumi Hachimine, Jun Morimoto, Takamitsu Matsubara

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

Comments 8 pages, Accepted by Robotics and Automation Letters

Latent Dynamics Networks (LDNets): learning the intrinsic dynamics of spatio-temporal processes

Francesco Regazzoni, Stefano Pagani, Matteo Salvador, Luca Dede', Alfio Quarteroni

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

Tracker: Model-based Reinforcement Learning for Tracking Control of Human Finger Attached with Thin McKibben Muscles

Daichi Saito, Eri Nagatomo, Jefferson Pardomuan, Hideki Koike

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

Comments 8 pages, 7 figures

Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement Learning

Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo

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

Comments Accepted by NeurIPS2022

Exploration in Model-based Reinforcement Learning with Randomized Reward

Lingxiao Wang, Ping Li

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

Variational Inference for Model-Free and Model-Based Reinforcement Learning

Felix Leibfried

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

Comments arXiv admin note: substantial text overlap with arXiv:2012.13962

Safe Exploration in Model-based Reinforcement Learning using Control Barrier Functions

Max H. Cohen, Calin Belta

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

Comments Accepted for publication in Automatica

Journal ref Automatica, vol. 147, p. 110684, 2023

Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning

Shenao Zhang

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

Comments Published at NeurIPS 2022

Between Rate-Distortion Theory & Value Equivalence in Model-Based Reinforcement Learning

Dilip Arumugam, Benjamin Van Roy

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

Comments Accepted to the Multi-Disciplinary Conference on Reinforcement Learning and Decision Making (RLDM) 2022

Stock Trading Optimization through Model-based Reinforcement Learning with Resistance Support Relative Strength

Huifang Huang, Ting Gao, Yi Gui, Jin Guo, Peng Zhang

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