lattice-reduction

This paper presents Delta-Star, a deep reinforcement learning approach using AlphaZero-style self-play to discover superior lattice reduction strategies by interacting with the primitive actions of the LLL algorithm. The learned policy generalizes to higher dimensions and unseen moduli without retraining.