世界模型

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Deformable Elasto-Plastic Object Shaping using an Elastic Hand and Model-Based Reinforcement Learning

Carolyn Matl, Ruzena Bajcsy

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

Comments 9 pages, 6 figures, To be published in Proc. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Learning Latent Dynamics for Partially-Observed Chaotic Systems

Said Ouala, Duong Nguyen, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet

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

Adaptive Discretization for Model-Based Reinforcement Learning

Sean R. Sinclair, Tianyu Wang, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu

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

Comments 50 pages, 7 figures

Model-Based Reinforcement Learning with a Generative Model is Minimax Optimal

Alekh Agarwal, Sham Kakade, Lin F. Yang

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

Learning Powerful Policies by Using Consistent Dynamics Model

Shagun Sodhani, Anirudh Goyal, Tristan Deleu, Yoshua Bengio, Sergey Levine, Jian Tang

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

Comments Accpted at RLDM 2019

Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar

Iddo Drori, Yamuna Krishnamurthy, Raoni Lourenco, Remi Rampin, Kyunghyun Cho, Claudio Silva, Juliana Freire

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

Comments ICML Workshop on Automated Machine Learning

A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task

Rémi Besson, Erwan Le Pennec, Stéphanie Allassonnière, Julien Stirnemann, Emmanuel Spaggiari, Antoine Neuraz

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

Comments 24 pages

Multi-task learning with deep model based reinforcement learning

Asier Mujika

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

Policy Error Bounds for Model-Based Reinforcement Learning with Factored Linear Models

Bernardo Ávila Pires, Csaba Szepesvári

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

Comments 30 pages. Corrected typos. Appears in JMLR Workshop and Conference Proceedings 49: Proceedings of the 29th Annual Conference on Learning Theory (COLT 2016)

Journal ref JMLR W&CP 49: COLT 2016 Proceedings (2016) 1-31