Scientists at the State University Higher School of Economics have improved the performance of Generative Flow Networks (GFlowNets) using classical reinforcement learning algorithms. This technique has been used for three years to solve complex scientific problems and has been recognized at an international conference on artificial intelligence and statistics.
