1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
Reinforcement learning with experience replay and adaptation of action dispersion
Paweł Wawrzyński, Wojciech Masarczyk, Mateusz Ostaszewski
Effective reinforcement learning requires a proper balance of exploration and exploitation defined by the dispersion of action distribution. However, this balance depends on the ta…