no code implementations • 6 Apr 2022 • Eugene Valassakis, Georgios Papagiannis, Norman Di Palo, Edward Johns
We present DOME, a novel method for one-shot imitation learning, where a task can be learned from just a single demonstration and then be deployed immediately, without any further data collection or training.
1 code implementation • 11 Nov 2020 • Hao Wen, Xiongjie Chen, Georgios Papagiannis, Conghui Hu, Yunpeng Li
Recent advances in incorporating neural networks into particle filters provide the desired flexibility to apply particle filters in large-scale real-world applications.
1 code implementation • 20 Aug 2020 • Georgios Papagiannis, Yunpeng Li
In this paper, we present tractable solutions by formulating imitation learning as minimization of the Sinkhorn distance between occupancy measures.
2 code implementations • 7 Sep 2019 • Georgios Papagiannis, Sotiris Moschoyiannis
Probabilistic Boolean Networks (PBNs) were introduced as a computational model for the study of complex dynamical systems, such as Gene Regulatory Networks (GRNs).
no code implementations • 22 Aug 2014 • Nikolaos Tziortziotis, Georgios Papagiannis, Konstantinos Blekas
This has the advantage to establish an informative feature space and modify the task of game playing to a regression analysis problem.