Showing 2023Show all
2 papers · 1 filter
cs.LG2023
Efficiently Escaping Saddle Points for Policy Optimization
Sadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash +2
Policy gradient (PG) is widely used in reinforcement learning due to its scalability and good performance. In recent years, several variance-reduced PG methods have been proposed w…
cs.CL2023
Studying Lobby Influence in the European Parliament
Aswin Suresh, Lazar Radojevic, Francesco Salvi +3
We present a method based on natural language processing (NLP), for studying the influence of interest groups (lobbies) in the law-making process in the European Parliament (EP). W…