The deep learning revolution has greatly been accelerated by the'hardware lottery': Recent
advances in modern hardware accelerators, compilers and the availability of open-source …

QDax is an open-source library with a streamlined and modular API for Quality-Diversity
(QD) optimisation algorithms in Jax. The library serves as a versatile tool for optimisation …

PyTorch has ascended as a premier machine learning framework, yet it lacks a native and
comprehensive library for decision and control tasks suitable for large development teams …

Applying reinforcement learning (RL) to combinatorial optimization problems is attractive as
it removes the need for expert knowledge or pre-solved instances. However, it is unrealistic …

Value iteration can find the optimal replenishment policy for a perishable inventory problem,
but is computationally demanding due to the large state spaces that are required to …

Applying reinforcement learning to combinatorial optimization problems is attractive as it
obviates the need for expert knowledge or pre-solved instances. However, it is unrealistic to …