世界模型

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

Opportunities of Hybrid Model-based Reinforcement Learning for Cell Therapy Manufacturing Process Control

Hua Zheng, Wei Xie, Keqi Wang, Zheng Li

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

Comments 14 pages, 2 figures

Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture

Suyoung Lee, Sae-Young Chung

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

Comments NeurIPS 2021

CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning

Kevin Huang, Sahin Lale, Ugo Rosolia, Yuanyuan Shi, Anima Anandkumar

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

Towards Tractable Optimism in Model-Based Reinforcement Learning

Aldo Pacchiano, Philip J. Ball, Jack Parker-Holder, Krzysztof Choromanski, Stephen Roberts

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 Presented as a conference paper at UAI 2021

Addressing crash-imminent situations caused by human driven vehicle errors in a mixed traffic stream: a model-based reinforcement learning approach for CAV

Jiqian Dong, Sikai Chen, Samuel Labi

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

Comments Under review for presentation at TRB 2022 Annual Meeting

Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning

Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo Rezende, Yoshua Bengio, Michael Mozer, Christopher Pal

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

Continuous-Time Model-Based Reinforcement Learning

Çağatay Yıldız, Markus Heinonen, Harri Lähdesmäki

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

MBRL-Lib: A Modular Library for Model-based Reinforcement Learning

Luis Pineda, Brandon Amos, Amy Zhang, Nathan O. Lambert, Roberto Calandra

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

Adapting User Interfaces with Model-based Reinforcement Learning

Kashyap Todi, Gilles Bailly, Luis A. Leiva, Antti Oulasvirta

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

Comments 13 pages, 10 figures, ACM CHI 2021 Full Paper

Nonholonomic Yaw Control of an Underactuated Flying Robot with Model-based Reinforcement Learning

Nathan Lambert, Craig Schindler, Daniel Drew, Kristofer Pister

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

Comments 7 pages, 1 page appendix

Journal ref IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 455-461, April 2021

Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs

Jianzhun Du, Joseph Futoma, Finale Doshi-Velez

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

Comments NeurIPS 2020, 20 pages, 7 figures

Model-Based Reinforcement Learning for Type 1Diabetes Blood Glucose Control

Taku Yamagata, Aisling O'Kane, Amid Ayobi, Dmitri Katz, Katarzyna Stawarz, Paul Marshall, Peter Flach, Raúl Santos-Rodríguez

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

Comments Presented at ECAI 2020 SP4HC Workshop

Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation

Xueying Bai, Jian Guan, Hongning Wang

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

Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning, Extended version

Erwan Lecarpentier, Emmanuel Rachelson

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 2019, 17 pages, 3 figures

Journal ref year: 2019; page range: 7214--7223

Learning to Combat Compounding-Error in Model-Based Reinforcement Learning

Chenjun Xiao, Yifan Wu, Chen Ma, Dale Schuurmans, Martin Müller

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

Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization

Qi Zhou, Houqiang Li, Jie Wang

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

Model-based Reinforcement Learning for Predictions and Control for Limit Order Books

Haoran Wei, Yuanbo Wang, Lidia Mangu, Keith Decker

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

Towards Model-based Reinforcement Learning for Industry-near Environments

Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo

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

Model-based RL in Contextual Decision Processes: PAC bounds and Exponential Improvements over Model-free Approaches

Wen Sun, Nan Jiang, Akshay Krishnamurthy, Alekh Agarwal, John Langford

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

Comments COLT 2019

Fast Exploration with Simplified Models and Approximately Optimistic Planning in Model Based Reinforcement Learning

Ramtin Keramati, Jay Whang, Patrick Cho, Emma Brunskill

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

Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning

Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker

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 Scaling Up Reinforcement Learning (SURL) Workshop @ European Machine Learning Conference (ECML)