世界模型

Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL

Jiawei Huang, Niao He, Andreas Krause

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

Comments ICML 2024; 55 Pages

Distributionally Robust Model-based Reinforcement Learning with Large State Spaces

Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Yifan Hu, Andreas Krause, Ilija Bogunovic

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

Journal ref AISTATS 2024

Partial Models for Building Adaptive Model-Based Reinforcement Learning Agents

Safa Alver, Ali Rahimi-Kalahroudi, Doina Precup

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

Comments Published as a conference paper at CoLLAs 2024

Approximating Energy Market Clearing and Bidding With Model-Based Reinforcement Learning

Thomas Wolgast, Astrid Nieße

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

Comments 13 pages

STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning

Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha

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

Reward-Respecting Subtasks for Model-Based Reinforcement Learning

Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland, David Szepesvari, Finbarr Timbers, Brian Tanner, Adam White

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

Journal ref Artificial Intelligence, first published online September 6, 2023

Value Summation: A Novel Scoring Function for MPC-based Model-based Reinforcement Learning

Mehran Raisi, Amirhossein Noohian, Luc Mccutcheon, Saber Fallah

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

Optimal Exploration for Model-Based RL in Nonlinear Systems

Andrew Wagenmaker, Guanya Shi, Kevin Jamieson

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

Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning

Remo Sasso, Matthia Sabatelli, Marco A. Wiering

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

Comments 24 pages, 7 figures, 8 tables. arXiv admin note: text overlap with arXiv:2108.06526

Model Based Reinforcement Learning for Personalized Heparin Dosing

Qinyang He, Yonatan Mintz

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

Comments 48 pages 6 figures

Provably Sample-Efficient RL with Side Information about Latent Dynamics

Yao Liu, Dipendra Misra, Miro Dudík, Robert E. Schapire

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

Comments 35 pages, 4 figures

Free Will Belief as a consequence of Model-based Reinforcement Learning

Erik M. Rehn

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

Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent Dynamics from Volumetric Video

Jinseok Bae, Hojun Jang, Cheol-Hui Min, Hyungun Choi, Young Min Kim

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

Comments 7 pages (main), 10 pages (appendix) and to be appeared in AAAI2022

Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation

Weitong Zhang, Dongruo Zhou, Quanquan Gu

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

Comments 29 pages, 1 figure, 1 table. In NeurIPS 2021

Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning

Nathan O. Lambert, Albert Wilcox, Howard Zhang, Kristofer S. J. Pister, Roberto Calandra

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

Comments 8 pages, +4 pages appendix

Combining Off and On-Policy Training in Model-Based Reinforcement Learning

Alexandre Borges, Arlindo Oliveira

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

Deformable Linear Object Prediction Using Locally Linear Latent Dynamics

Wenbo Zhang, Karl Schmeckpeper, Pratik Chaudhari, Kostas Daniilidis

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

A Sharp Analysis of Model-based Reinforcement Learning with Self-Play

Qinghua Liu, Tiancheng Yu, Yu Bai, Chi Jin

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

Model-based Reinforcement Learning from Signal Temporal Logic Specifications

Parv Kapoor, Anand Balakrishnan, Jyotirmoy V. Deshmukh

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

Comments Submitted to ICRA 2021

Delta Schema Network in Model-based Reinforcement Learning

Andrey Gorodetskiy, Alexandra Shlychkova, Aleksandr I. Panov

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

Comments Published at the AGI 2020 conference

Online Constrained Model-based Reinforcement Learning

Benjamin van Niekerk, Andreas Damianou, Benjamin Rosman

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

Comments Conf. Uncertainty in Artificial Intelligence (UAI). 2017

Mitigating Planner Overfitting in Model-Based Reinforcement Learning

Dilip Arumugam, David Abel, Kavosh Asadi, Nakul Gopalan, Christopher Grimm, Jun Ki Lee, Lucas Lehnert, Michael L. Littman

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

Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements

Alberto Dalla Libera, Diego Romeres, Devesh K. Jha, Bill Yerazunis, Daniel Nikovski

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

Comments Accepted at RA-L

Transferable Force-Torque Dynamics Model for Peg-in-hole Task

Junfeng Ding, Chen Wang, Cewu Lu

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

Comments IROS 2019

Model-Based Reinforcement Learning Exploiting State-Action Equivalence

Mahsa Asadi, Mohammad Sadegh Talebi, Hippolyte Bourel, Odalric-Ambrym Maillard

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

Comments ACML 2019. Recipient of the Best Student Paper Award

COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration

Nicholas Watters, Loic Matthey, Matko Bosnjak, Christopher P. Burgess, Alexander Lerchner

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

Iterative Model-Based Reinforcement Learning Using Simulations in the Differentiable Neural Computer

Adeel Mufti, Svetlin Penkov, Subramanian Ramamoorthy

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

Comments Accepted at the Workshop on Multi-Task and Lifelong Reinforcement Learning, 36th International Conference on Machine Learning, Long Beach, California, 2019

A Perspective on Objects and Systematic Generalization in Model-Based RL

Sjoerd van Steenkiste, Klaus Greff, Jürgen Schmidhuber

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

Comments Accepted to the ICML 2019 workshop on Workshop on Generative Modeling and Model-Based Reasoning for Robotics and AI

Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

Kurtland Chua, Roberto Calandra, Rowan McAllister, Sergey Levine

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

Comments NIPS 2018, video and code available at https://sites.google.com/view/drl-in-a-handful-of-trials/

Learning from Less: SINDy Surrogates in RL

Aniket Dixit, Muhammad Ibrahim Khan, Faizan Ahmed, James Brusey

机构 * Coventry University（科文特大学） 纠错

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

Comments World Models @ ICLR 2025