3 papers
cs.LG2023
On-line reinforcement learning for optimization of real-life energy trading strategy
Łukasz Lepak, Paweł Wawrzyński
An increasing share of energy is produced from renewable sources by many small producers. The efficiency of those sources is volatile and, to some extent, random, exacerbating the…
cs.LG2022
Emergency action termination for immediate reaction in hierarchical reinforcement learning
Michał Bortkiewicz, Jakub Łyskawa, Paweł Wawrzyński +3
Hierarchical decomposition of control is unavoidable in large dynamical systems. In reinforcement learning (RL), it is usually solved with subgoals defined at higher policy levels…
cs.NE2021
Least Redundant Gated Recurrent Neural Network
Łukasz Neumann, Łukasz Lepak, Paweł Wawrzyński
Recurrent neural networks are important tools for sequential data processing. However, they are notorious for problems regarding their training. Challenges include capturing comple…