5 papers
GeoGAE: Scalable Graph-Level Autoencoding via Hyperball Cloud Representations
Radosław Nowak, Anna Bielawska, Bogusz Stefańczyk +2
Embedding structured objects into Euclidean spaces has enabled a wide range of successful machine learning applications. Such objects include words, documents, image patches, time…
Semi-Supervised Diversity-Aware Domain Adaptation for 3D Object detection
Bartłomiej Olber, Jakub Winter, Paweł Wawrzyński +5
3D object detectors are fundamental components of perception systems in autonomous vehicles. While these detectors achieve remarkable performance on standard autonomous driving ben…
SACn: Soft Actor-Critic with n-step Returns
Jakub Łyskawa, Jakub Lewandowski, Paweł Wawrzyński
Soft Actor-Critic (SAC) is widely used in practical applications and is now one of the most relevant off-policy online model-free reinforcement learning (RL) methods. The technique…
Graph Vertex Embeddings: Distance, Regularization and Community Detection
Radosław Nowak, Adam Małkowski, Daniel Cieślak +2
Graph embeddings have emerged as a powerful tool for representing complex network structures in a low-dimensional space, enabling the use of efficient methods that employ the metri…
Actor-Critic with variable time discretization via sustained actions
Jakub Łyskawa, Paweł Wawrzyński
Reinforcement learning (RL) methods work in discrete time. In order to apply RL to inherently continuous problems like robotic control, a specific time discretization needs to be d…