Frédéric Saubion

Black-Box Combinatorial Optimization with Order-Invariant Reinforcement Learning

We introduce an order-invariant reinforcement learning framework for black-box combinatorial optimization. Classical estimation-of-distribution algorithms (EDAs) often rely on learning explicit variable dependency graphs, which can be costly and fail to capture complex interactions efficiently. In c…