The past few years have seen an explosion of interest in using machine learning to make
robots capable of learning a diverse set of tasks. These robots use Reinforcement Learning …

Effective task representations should facilitate compositionality, such that after learning a
variety of basic tasks, an agent can perform compound tasks consisting of multiple steps …

Quantum computers present an undeniable potential to solve classically intractable
problems. However, the scalability of quantum architectures remains a principal challenge …