1. Aggarwal, G., Parikh, D.: Neuro-symbolic generative art: a preliminary study. Preprint (2020). arXiv:2007.02171
2. Alshiekh, M., Bloem, R., Ehlers, R., Könighofer, B., Niekum, S., Topcu, U.: Safe reinforcement learning via shielding. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 32 (2018)
3. Amizadeh, S., Palangi, H., Polozov, A., Huang, Y., Koishida, K.: Neuro-symbolic visual reasoning: Disentangling visual from reasoning. In: International Conference on Machine Learning, pp. 279–290. PMLR (2020)
4. Anderson, G., Verma, A., Dillig, I., Chaudhuri, S.: Neurosymbolic reinforcement learning with formally verified exploration. Adv. Neural Inf. Process. Syst. 33, 6172–6183 (2020)
5. Andreas, J., Rohrbach, M., Darrell, T., Klein, D.: Neural module networks. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 39–48. IEEE Computer Society (2016)