Reinforcement Learning for Node Selection in Branch-and-Bound

Alexander Mattick, Christopher Mutschler

A big challenge in branch and bound lies in identifying the optimal node within the search tree from which to proceed. Current state-of-the-art selectors utilize either hand-crafte…