Publisher
Springer Nature Switzerland
Reference39 articles.
1. Ammanabrolu, P., Riedl, M.: Playing text-adventure games with graph-based deep reinforcement learning. In: NAACL (2019)
2. Battaglia, P., et al.: Relational inductive biases, deep learning, and graph networks. arXiv preprint arXiv:1806.01261 (2018)
3. Beeching, E., et al.: Graph augmented deep reinforcement learning in the GameRLand3D environment. arXiv preprint arXiv:2112.11731 (2021)
4. Berry, D.A., Fristedt, B.: Bandit problems: sequential allocation of experiments (Monographs on Statistics and Applied Probability) (1985)
5. Chester, A., Dann, M., Zambetta, F., Thangarajah, J.: SAGE: generating symbolic goals for myopic models in deep reinforcement learning. arXiv preprint arXiv2203.05079 (2022)