Jonáš Kříž and Vojtěch Vonásek. Asymptotically optimal path planning with an approximation of the omniscient set. IEEE Robotics and Automation Letters ():1-8, 2025. arXiv video code, DOI BibTeX

@article{kriz2025asymptotically,
	author = "K\v{r}\'{i}\v{z}, Jon\'{a}\v{s} and Von\'{a}sek, Vojt\v{e}ch",
	journal = "IEEE Robotics and Automation Letters",
	title = "Asymptotically optimal path planning with an approximation of the omniscient set",
	year = 2025,
	volume = "",
	number = "",
	pages = "1-8",
	keywords = "Costs;Convergence;Planning;Convolutional neural networks;Training;Nearest neighbor methods;Euclidean distance;Data mining;Convex hulls;Collision avoidance;Motion and Path Planning;Planning, Scheduling and Coordination",
	doi = "10.1109/LRA.2025.3540627",
	video = "https://www.youtube.com/watch?v=oeV3-_c1-t0",
	code = "https://github.com/BipoaroXigen/JPL",
	arxiv = "https://arxiv.org/abs/2503.16164"
}

Michal Vavrecka, Jonas Kriz, Nikita Sokovnin and Gabriela Sejnova. Modular Reinforcement Learning In Long-Horizon Manipulation Tasks. In Michael Wand, Kristína Malinovská, Jürgen Schmidhuber and Igor V Tetko (eds.). Artificial Neural Networks and Machine Learning – ICANN 2024. 2024, 299–312. BibTeX

@inproceedings{vavrecka2024modular,
	author = "Vavrecka, Michal and Kriz, Jonas and Sokovnin, Nikita and Sejnova, Gabriela",
	editor = {Wand, Michael and Malinovsk{\'a}, Krist{\'i}na and Schmidhuber, J{\"u}rgen and Tetko, Igor V.},
	title = "Modular Reinforcement Learning In Long-Horizon Manipulation Tasks",
	booktitle = "Artificial Neural Networks and Machine Learning -- ICANN 2024",
	year = 2024,
	publisher = "Springer Nature Switzerland",
	address = "Cham",
	pages = "299--312",
	isbn = "978-3-031-72359-9"
}