Reinforcement Learning Enhances Performance of Generative Flow Networks
Scientists at the AI Research Centre and the AI and Digital Science Institute of the HSE Faculty of Computer Science applied classical reinforcement learning algorithms to train generative flow networks (GFlowNets). This enabled significant performance improvements in GFlowNets, which have been employed for three years in tackling the most complex scientific challenges at modelling, hypothesis generation, and experimental design stages. The results of their work achieved a top 5% ranking among publications at the International Conference on Artificial Intelligence and Statistics AISTATS, held on May 2-4, 2024, in Valencia, Spain.
BRICS Countries Support HSE University’s Project to Launch Fair Competition Platform
A meeting of the BRICS Coordination Committee on Antimonopoly Policy was held in Geneva as part of Russia's BRICS Chairship in 2024. The meeting participants supported a project to launch a BRICS Interstate Platform on Fair Competition, developed by the International BRICS Competition Law and Policy Centre of HSE University and presented by the FAS of Russia as an initiative of the Russian Chairship.