Neu, G., and Okolo, N., Offline RL via Feature-Occupancy Gradient Ascent, AISTATS 2025.
Neu, G., and Okolo, N., Dealing with unbounded gradients in stochastic saddle-point optimization, ICML 2024.
Gabbianelli, G., Neu, G., Okolo, N. and Papini, M., Offline primal-dual reinforcement learning for linear mdps, AISTATS 2024.
Neu, G., and Okolo, N., Efficient global planning in large MDPs via stochastic primal-dual optimization, ALT 2023.
*Author names are alphabetically ordered in highlighted papers
Neu, G., and Okolo, N., A Sparse Linear Program for Global Planning in Large MDPs, EWRL 2022.
Ph.D. Thesis: Provably Efficient Large-Scale Reinforcement Learning via Primal-Dual Stochastic Optimization.
MSc. Thesis: Reinforcement learning approach to production and distribution planning.
BSc. Thesis: Equilibria and Stability of Nonlinear Systems.