1 code implementation • 17 Feb 2023 • Wenyan Yang, Huiling Wang, Dingding Cai, Joni Pajarinen, Joni-Kristen Kämäräinen
Offline goal-conditioned reinforcement learning (GCRL) can be challenging due to overfitting to the given dataset.
no code implementations • 15 Feb 2023 • Wenyan Yang, Joni Pajarinen, Dinging Cai, Joni Kämäräinen
In goal-conditioned offline reinforcement learning, an agent learns from previously collected data to go to an arbitrary goal.
1 code implementation • 17 Aug 2021 • Atakan Dag, Alexandre Angleraud, Wenyan Yang, Nataliya Strokina, Roel S. Pieters, Minna Lanz, Joni-Kristian Kamarainen
Our findings show that the training of a hybrid controller is easier and obtains a better success-failure trade-off than a monolithic controller.
no code implementations • 23 Mar 2021 • Wenyan Yang, Nataliya Strokina, Nikolay Serbenyuk, Joni Pajarinen, Reza Ghabcheloo, Juho Vihonen, Mohammad M. Aref, Joni-Kristian Kämäräinen
We have recently proposed two pile loading controllers that learn from human demonstrations: a neural network (NNet) [1] and a random forest (RF) controller [2].
1 code implementation • 21 May 2018 • Wenyan Yang, Yanlin Qian, Francesco Cricri, Lixin Fan, Joni-Kristian Kamarainen
We introduced a high-resolution equirectangular panorama (360-degree, virtual reality) dataset for object detection and propose a multi-projection variant of YOLO detector.