1. Andre D, Russell SJ (2002) State abstraction for programmable reinforcement learning agents. In: Aaai/iaai, pp 119–125
2. Anschuetz ER, Kiani BT (2022) Quantum variational algorithms are swamped with traps. Nature Commun 13(1):7760
3. Bilkis M, Cerezo M, Verdon G, Coles PJ, Cincio L (2021) A semi-agnostic ansatz with variable structure for quantum machine learning. arXiv preprint arXiv:2103.06712
4. Busoniu L, Babuska R, De Schutter B, Ernst D (2017) Reinforcement Learning and Dynamic Programming Using Function Approximators. CRC press, ???
5. Cerezo M, Arrasmith A, Babbush R, Benjamin SC, Endo S, Fujii K, McClean JR, Mitarai K, Yuan X, Cincio L et al (2021) Variational quantum algorithms. Nature Reviews. Physics 3(9):625–644