| % Cited entries; source verification recorded in research/nearest_comparisons_20260912. |
| |
| @article{ha2018worldmodels, |
| title = {World Models}, |
| author = {Ha, David and Schmidhuber, J{\"u}rgen}, |
| journal = {arXiv preprint arXiv:1803.10122}, |
| year = {2018}, |
| doi = {10.48550/arXiv.1803.10122} |
| } |
| |
| @inproceedings{hafner2019planet, |
| title = {Learning Latent Dynamics for Planning from Pixels}, |
| author = {Hafner, Danijar and Lillicrap, Timothy and Fischer, Ian and Villegas, Ruben and Ha, David and Lee, Honglak and Davidson, James}, |
| booktitle = {Proc. Int. Conf. Mach. Learn. (ICML)}, |
| pages = {2555--2565}, |
| year = {2019}, |
| volume = {97}, |
| series = {PMLR} |
| } |
| |
| @inproceedings{hafner2020dreamer, |
| title = {Dream to Control: Learning Behaviors by Latent Imagination}, |
| author = {Hafner, Danijar and Lillicrap, Timothy and Ba, Jimmy and Norouzi, Mohammad}, |
| booktitle = {Int. Conf. Learn. Represent. (ICLR)}, |
| year = {2020} |
| } |
| |
| @article{hafner2025dreamerv3, |
| title={Mastering diverse control tasks through world models}, |
| author={Hafner, Danijar and Pasukonis, Jurgis and Ba, Jimmy and Lillicrap, Timothy}, |
| journal={Nature}, volume={640}, pages={647--653}, year={2025}, |
| doi={10.1038/s41586-025-08744-2} |
| } |
| |
| @inproceedings{hansen2024tdmpc2, |
| title = {{TD-MPC2}: Scalable, Robust World Models for Continuous Control}, |
| author = {Hansen, Nicklas and Su, Hao and Wang, Xiaolong}, |
| booktitle = {Int. Conf. Learn. Represent. (ICLR)}, |
| year = {2024} |
| } |
| |
| @inproceedings{wu2023daydreamer, |
| title = {{DayDreamer}: World Models for Physical Robot Learning}, |
| author = {Wu, Philipp and Escontrela, Alejandro and Hafner, Danijar and Abbeel, Pieter and Goldberg, Ken}, |
| booktitle = {Proc. Conf. Robot Learn. (CoRL)}, |
| pages = {2226--2240}, |
| year = {2023}, |
| volume = {205}, |
| series = {PMLR} |
| } |
| |
| @article{fossen2017ilos, |
| title = {Direct and Indirect Adaptive Integral Line-of-Sight Path-Following Controllers for Marine Craft Exposed to Ocean Currents}, |
| author = {Fossen, Thor I. and Lekkas, Anastasios M.}, |
| journal = {International Journal of Adaptive Control and Signal Processing}, |
| volume = {31}, |
| number = {4}, |
| pages = {445--463}, |
| year = {2017}, |
| doi = {10.1002/acs.2550} |
| } |
| |
| @article{xu2023massreview, |
| title = {Review of Path-following Control Systems for Maritime Autonomous Surface Ships}, |
| author = {Xu, Haitong and Guedes Soares, C.}, |
| journal = {Journal of Marine Science and Application}, |
| volume = {22}, |
| pages = {153--171}, |
| year = {2023}, |
| doi = {10.1007/s11804-023-00338-6} |
| } |
| |
| @article{wang2024quadsurvey, |
| title = {Disturbance Observer and Adaptive Control for Disturbance Rejection of Quadrotor: A Survey}, |
| author = {Wang, Ruiying and Shen, Jun}, |
| journal = {Actuators}, |
| volume = {13}, |
| number = {6}, |
| pages = {217}, |
| year = {2024}, |
| doi = {10.3390/act13060217} |
| } |
| |
| @inproceedings{karl2017dvbf, |
| title = {Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data}, |
| author = {Karl, Maximilian and Soelch, Maximilian and Bayer, Justin and van der Smagt, Patrick}, |
| booktitle = {Int. Conf. Learn. Represent. (ICLR)}, |
| year = {2017} |
| } |
| |
| @inproceedings{han2020vrm, |
| title = {Variational Recurrent Models for Solving Partially Observable Control Tasks}, |
| author = {Han, Dongqi and Doya, Kenji and Tani, Jun}, |
| booktitle = {Int. Conf. Learn. Represent. (ICLR)}, |
| year = {2020} |
| } |
| |
| @article{zhao2026softrafts, |
| title = {{SoftRafts}: Floating and Adaptive Soft Modular Robots}, |
| author = {Zhao, Luyang and Jiang, Yitao and She, Chun-Yi and Li, Alberto Quattrini and Chen, Muhao and Balkcom, Devin}, |
| journal = {npj Robotics}, |
| volume = {4}, |
| pages = {8}, |
| year = {2026}, |
| doi = {10.1038/s44182-025-00070-z} |
| } |
| |
| @inproceedings{zhao2025dolphin, |
| title = {An Untethered Bioinspired Robotic Tensegrity Dolphin with Multi-Flexibility Design for Aquatic Locomotion}, |
| author = {Zhao, Luyang and Jiang, Yitao and She, Chun-Yi and Jeong, Mingi and Dong, Haibo and Li, Alberto Quattrini and Chen, Muhao and Balkcom, Devin}, |
| booktitle = {2025 IEEE 8th International Conference on Soft Robotics (RoboSoft)}, |
| year = {2025}, |
| doi = {10.1109/RoboSoft63089.2025.11020959} |
| } |
| |
| @article{jeong2025seepersea, |
| title = {{SeePerSea}: Multimodal Perception Dataset of In-Water Objects for Autonomous Surface Vehicles}, |
| author = {Jeong, Mingi and Chadda, Arihant and Ren, Ziang and Zhao, Luyang and Liu, Haowen and Zhang, Aiwei and Jiang, Yitao and Achong, Sabriel and Lensgraf, Samuel and Roznere, Monika and Li, Alberto Quattrini}, |
| journal = {IEEE Transactions on Field Robotics}, |
| volume = {2}, |
| pages = {737--752}, |
| year = {2025}, |
| doi = {10.1109/TFR.2025.3602937} |
| } |
| |
| @inproceedings{yu2017uposi, |
| title = {Preparing for the Unknown: Learning a Universal Policy with Online System Identification}, |
| author = {Yu, Wenhao and Tan, Jie and Liu, C. Karen and Turk, Greg}, |
| booktitle = {Proceedings of Robotics: Science and Systems}, |
| year = {2017}, |
| doi = {10.15607/RSS.2017.XIII.048} |
| } |
| |
| @inproceedings{rakelly2019pearl, |
| title = {Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables}, |
| author = {Rakelly, Kate and Zhou, Aurick and Finn, Chelsea and Levine, Sergey and Quillen, Deirdre}, |
| booktitle = {Proc. Int. Conf. Mach. Learn. (ICML)}, |
| pages = {5331--5340}, |
| year = {2019}, |
| volume = {97}, |
| series = {PMLR} |
| } |
| |
| @inproceedings{zintgraf2020varibad, |
| title = {{VariBAD}: A Very Good Method for Bayes-Adaptive Deep {RL} via Meta-Learning}, |
| author = {Zintgraf, Luisa and Shiarlis, Kyriacos and Igl, Maximilian and Schulze, Sebastian and Gal, Yarin and Hofmann, Katja and Whiteson, Shimon}, |
| booktitle = {Int. Conf. Learn. Represent. (ICLR)}, |
| year = {2020} |
| } |
| |
| @inproceedings{wu2023contextwm, |
| title = {Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning}, |
| author = {Wu, Jialong and Ma, Haoyu and Deng, Chaoyi and Long, Mingsheng}, |
| booktitle = {Adv. Neural Inf. Process. Syst.}, |
| volume = {36}, |
| year = {2023} |
| } |
| |
| @inproceedings{wang2022denoisedmdp, |
| title = {Denoised {MDPs}: Learning World Models Better Than the World Itself}, |
| author = {Wang, Tongzhou and Du, Simon and Torralba, Antonio and Isola, Phillip and Zhang, Amy and Tian, Yuandong}, |
| booktitle = {Proc. Int. Conf. Mach. Learn. (ICML)}, |
| pages = {22591--22612}, |
| year = {2022}, |
| volume = {162}, |
| series = {PMLR} |
| } |
| |
| @inproceedings{islam2023acro, |
| title = {Principled Offline {RL} in the Presence of Rich Exogenous Information}, |
| author = {Islam, Riashat and Tomar, Manan and Lamb, Alex and Efroni, Yonathan and Zang, Hongyu and Didolkar, Aniket Rajiv and Misra, Dipendra and Li, Xin and Van Seijen, Harm and Tachet Des Combes, Remi and Langford, John}, |
| booktitle = {Proc. Int. Conf. Mach. Learn. (ICML)}, |
| pages = {14390--14421}, |
| year = {2023}, |
| volume = {202}, |
| series = {PMLR} |
| } |
| |
| @inproceedings{zhou2025dinowm, |
| title={{DINO-WM}: World Models on Pre-trained Visual Features enable Zero-shot Planning}, |
| author={Zhou, Gaoyue and Pan, Hengkai and LeCun, Yann and Pinto, Lerrel}, |
| booktitle={Proc. Int. Conf. Mach. Learn. (ICML)}, volume={267}, |
| series={PMLR}, pages={79115--79135}, year={2025} |
| } |
| |
| @inproceedings{pan2022isodream, |
| title={{Iso-Dream}: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models}, |
| author={Pan, Minting and Zhu, Xiangming and Wang, Yunbo and Yang, Xiaokang}, |
| booktitle={Adv. Neural Inf. Process. Syst.}, volume={35}, year={2022} |
| } |
| |
| @article{gan2026actswm, |
| title={{ActSWM}: Action-Sensitive World Models for Long-Horizon Planning in Open-World Games}, |
| author={Gan, Zhenfeng and Zeng, ZiTong and Cheng, Jiajun and Song, Yeke and Tang, Yongyi and Wang, Xueqian}, |
| journal={arXiv preprint arXiv:2607.26712}, year={2026}, |
| doi={10.48550/arXiv.2607.26712} |
| } |
| |
| @article{zhang2026dwm, |
| title={{DWM}: Separating World Effects from Actions in Latent World Models}, |
| author={Zhang, Yi-Ge and Du, Tianqi and Zhang, Qi and Wang, Yisen}, |
| journal={arXiv preprint arXiv:2607.18715}, year={2026}, |
| doi={10.48550/arXiv.2607.18715} |
| } |
| |
| @inproceedings{lee2020cadm, |
| title={Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning}, |
| author={Lee, Kimin and Seo, Younggyo and Lee, Seunghyun and Lee, Honglak and Shin, Jinwoo}, |
| booktitle={Proc. Int. Conf. Mach. Learn. (ICML)}, |
| pages={5757--5766}, volume={119}, publisher={PMLR}, year={2020} |
| } |
| |
| @article{wang2022protocad, |
| title={Prototypical Context-Aware Dynamics Generalization for High-Dimensional Model-Based Reinforcement Learning}, |
| author={Wang, Junjie and Mu, Yao and Li, Dong and Zhang, Qichao and Zhao, Dongbin and Zhuang, Yuzheng and Luo, Ping and Wang, Bin and Hao, Jianye}, |
| journal={arXiv preprint arXiv:2211.12774}, year={2022}, |
| doi={10.48550/arXiv.2211.12774} |
| } |
| |
| @article{yu2026contextode, |
| title={Learning Context-Aware Neural ODE Dynamics for Adaptive Robotic Control}, |
| author={Yu, Shao-Yi and Wang, Jen-Wei and Horii, Maya and Tomizuka, Masayoshi and Garg, Vikas}, |
| journal={arXiv preprint arXiv:2606.15469}, year={2026}, |
| doi={10.48550/arXiv.2606.15469} |
| } |
| |
| @inproceedings{jaques2021newtonianvae, |
| title={{NewtonianVAE}: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces}, |
| author={Jaques, Miguel and Burke, Michael and Hospedales, Timothy}, |
| booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition}, |
| year={2021} |
| } |
| |
| @book{fossen2021handbook, |
| title = {Handbook of Marine Craft Hydrodynamics and Motion Control}, |
| author = {Fossen, Thor I.}, |
| edition = {2}, |
| publisher = {Wiley}, |
| year = {2021}, |
| isbn = {9781119575054} |
| } |
| |
| @inproceedings{liu2018coordconv, |
| title = {An Intriguing Failing of Convolutional Neural Networks and the {CoordConv} Solution}, |
| author = {Liu, Rosanne and Lehman, Joel and Molino, Piero and Such, Felipe Petroski and Frank, Eric and Sergeev, Alex and Yosinski, Jason}, |
| booktitle = {Adv. Neural Inf. Process. Syst.}, |
| volume = {31}, |
| year = {2018} |
| } |
| |
| @inproceedings{cho2014learning, |
| title = {Learning Phrase Representations using {RNN} Encoder--Decoder for Statistical Machine Translation}, |
| author = {Cho, Kyunghyun and van Merri{\"e}nboer, Bart and Gulcehre, Caglar and Bahdanau, Dzmitry and Bougares, Fethi and Schwenk, Holger and Bengio, Yoshua}, |
| booktitle = {Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing}, |
| pages = {1724--1734}, |
| year = {2014}, |
| doi = {10.3115/v1/D14-1179} |
| } |
| |
| @article{maes2026leworldmodel, |
| title = {{LeWorldModel}: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels}, |
| author = {Maes, Lucas and Le Lidec, Quentin and Scieur, Damien and LeCun, Yann and Balestriero, Randall}, |
| journal = {arXiv preprint arXiv:2603.19312}, |
| year = {2026}, |
| doi = {10.48550/arXiv.2603.19312} |
| } |
| |
| @inproceedings{loshchilov2019decoupled, |
| title = {Decoupled Weight Decay Regularization}, |
| author = {Loshchilov, Ilya and Hutter, Frank}, |
| booktitle = {Int. Conf. Learn. Represent. (ICLR)}, |
| year = {2019} |
| } |
| |
| @inproceedings{hansen2022tdmpc, |
| title = {Temporal Difference Learning for Model Predictive Control}, |
| author = {Hansen, Nicklas A. and Su, Hao and Wang, Xiaolong}, |
| booktitle = {Proc. Int. Conf. Mach. Learn. (ICML)}, |
| pages = {8387--8406}, |
| year = {2022}, |
| volume = {162}, |
| series = {PMLR} |
| } |
| |
| @article{alain2016understanding, |
| title = {Understanding Intermediate Layers Using Linear Classifier Probes}, |
| author = {Alain, Guillaume and Bengio, Yoshua}, |
| journal = {arXiv preprint arXiv:1610.01644}, |
| year = {2016}, |
| doi = {10.48550/arXiv.1610.01644} |
| } |
| |
| @article{belleter2019observer, |
| title = {Observer Based Path Following for Underactuated Marine Vessels in the Presence of Ocean Currents: A Global Approach}, |
| author = {Belleter, Dennis J. W. and Maghenem, Mohamed and Paliotta, Claudio and Pettersen, Kristin Y.}, |
| journal = {Automatica}, |
| volume = {100}, |
| pages = {123--134}, |
| year = {2019}, |
| doi = {10.1016/j.automatica.2018.11.008} |
| } |
| |
| @inproceedings{shaj2023mts3, |
| title = {Multi Time Scale World Models}, |
| author = {Shaj, Vaisakh and Gholam Zadeh, Saleh and Demir, Ozan and Douat, Luiz Ricardo and Neumann, Gerhard}, |
| booktitle = {Adv. Neural Inf. Process. Syst.}, |
| volume = {36}, |
| year = {2023}, |
| doi = {10.52202/075280-1163} |
| } |
| |
| @inproceedings{wang2026sfrssm, |
| title = {Beyond Single-Speed Reasoning: Coordinating Fast and Slow Dynamics for Efficient World Modeling}, |
| author = {Wang, Hongwei and Huang, Yangru and Chen, Guangyao and Wang, Xu and Jin, Yi}, |
| booktitle = {Proc. AAAI Conf. Artif. Intell.}, |
| volume = {40}, |
| number = {31}, |
| pages = {26215--26223}, |
| year = {2026}, |
| doi = {10.1609/aaai.v40i31.39825} |
| } |
| |
| @article{jain2026weaver, |
| title = {{WEAVER}, Better, Faster, Longer: An Effective World Model for Robotic Manipulation}, |
| author = {Jain, Arnav Kumar and Wu, Yilin and Farebrother, Jesse and Swamy, Gokul and Bajcsy, Andrea}, |
| journal = {arXiv preprint arXiv:2606.13672}, |
| year = {2026}, |
| doi = {10.48550/arXiv.2606.13672} |
| } |
| |
