世界模型

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

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)

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

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

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

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

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

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

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

Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision

Julien Scholz, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter

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

Journal ref Proc. Intl. Joint Conf. Neural Networks (IJCNN), 2021, forthcoming

Maximum Entropy Model-based Reinforcement Learning

Oleg Svidchenko, Aleksei Shpilman

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

Comments NeurIPS'2021 Deep Reinforcement Learning Workshop

Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention

Yunkun Xu, Zhenyu Liu, Guifang Duan, Jiangcheng Zhu, Xiaolong Bai, Jianrong Tan

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

Comments CoRL 2021 accepted

Risk Sensitive Model-Based Reinforcement Learning using Uncertainty Guided Planning

Stefan Radic Webster, Peter Flach

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 Safe RL Workshop NeurIPS 2021

Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time

Feng Zhu, Andrew R. Sedler, Harrison A. Grier, Nauman Ahad, Mark A. Davenport, Matthew T. Kaufman, Andrea Giovannucci, Chethan Pandarinath

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

Model-based Reinforcement Learning for Service Mesh Fault Resiliency in a Web Application-level

Fanfei Meng, Lalita Jagadeesan, Marina Thottan

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

Comments 10 pages, submitted for the Web Conference 2022

High-Accuracy Model-Based Reinforcement Learning, a Survey

Aske Plaat, Walter Kosters, Mike Preuss

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

Comments arXiv admin note: text overlap with arXiv:2008.05598

Planning with Exploration: Addressing Dynamics Bottleneck in Model-based Reinforcement Learning

Xiyao Wang, Junge Zhang, Wenzhen Huang, Qiyue Yin

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

Comments 15 pages, 8 figures

Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation

Evgenii Nikishin, Romina Abachi, Rishabh Agarwal, Pierre-Luc Bacon

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

Comments Code at https://github.com/evgenii-nikishin/omd

Delay-Aware Model-Based Reinforcement Learning for Continuous Control

Baiming Chen, Mengdi Xu, Liang Li, Ding Zhao

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 Neurocomputing Volume 450, 25 August 2021, Pages 119-128

Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning

Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang

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

Baconian: A Unified Open-source Framework for Model-Based Reinforcement Learning

Linsen Dong, Guanyu Gao, Xinyi Zhang, Liangyu Chen, Yonggang Wen

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

Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction

Masashi Okada, Tadahiro Taniguchi

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 to ICRA2021. Camera ready version

Uncertainty-aware Contact-safe Model-based Reinforcement Learning

Cheng-Yu Kuo, Andreas Schaarschmidt, Yunduan Cui, Tamim Asfour, Takamitsu Matsubara

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

Comments 8 pages, Accepted by Robotics and Automation Letters with ICRA 2021 option

A Contraction Approach to Model-based Reinforcement Learning

Ting-Han Fan, Peter J. Ramadge

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

Comments The 24th International Conference on Artificial Intelligence and Statistics (AISTATS) 2021

GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling

Rohan Chitnis, Tom Silver, Joshua Tenenbaum, Leslie Pack Kaelbling, Tomas Lozano-Perez

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

Comments AAAI 2021

Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning

Mohammad Babaeizadeh, Mohammad Taghi Saffar, Danijar Hafner, Harini Kannan, Chelsea Finn, Sergey Levine, Dumitru Erhan

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

Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation

Yanan Wang, Yong Ge, Li Li, Rui Chen, Tong Xu

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 to Offline Reinforcement Learning Workshop at Neural Information Processing Systems (2020)

Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey

Aske Plaat, Walter Kosters, Mike Preuss

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

Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning

Sebastian Curi, Felix Berkenkamp, 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

The Value Equivalence Principle for Model-Based Reinforcement Learning

Christopher Grimm, André Barreto, Satinder Singh, David Silver

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-2020