Author:
Asperti Andrea,Del Brutto Marco
Publisher
Springer Nature Switzerland
Reference34 articles.
1. Asperti, A., Cortesi, D., De Pieri, C., Pedrini, G., Sovrano, F.: Crawling in rogue’s dungeons with deep reinforcement techniques. IEEE Trans. Games 12(2), 177–186 (2020)
2. Asperti, A., Cortesi, D., Sovrano, F.: Crawling in rogue’s dungeons with (partitioned) A3C. In: Machine Learning, Optimization, and Data Science - 4th International Conference, LOD 2018, Volterra, Italy, 13–16 Sep 2018, Revised Selected Papers, vol. 11331 of Lecture Notes in Computer Science, pp. 264–275. Springer (2018). https://doi.org/10.1007/978-3-030-13709-0_22
3. Balaji, B., et al. DeepRacer: educational autonomous racing platform for experimentation with sim2real reinforcement learning. arXiv preprint arXiv:abs/1911.01562 (2019)
4. Behnel, S., Bradshaw, R., Citro, C., Dalcin, L., Seljebotn, D.S., Smith, K.: Cython: the best of both worlds. Comput. Sci. Eng. 13(2), 31–39 (2011)
5. Bellemare, M.G., Dabney, W., Rowland, M.: Distributional Reinforcement Learning. MIT Press, Cambridge (2022). https://www.distributional-rl.org
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献