Author:
Pérez-Dattari Rodrigo,Celemin Carlos,Ruiz-del-Solar Javier,Kober Jens
Publisher
Springer International Publishing
Reference14 articles.
1. Mnih, V., Kavukcuoglu, K., Silver, D., Graves, A., Antonoglou, I., Wierstra, D., Riedmiller, M.: Playing Atari with deep reinforcement learning. In: NIPS Deep Learning Workshop (2013)
2. Silver, D., Huang, A., Maddison, C.J., Guez, A., Sifre, L., van den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., Dieleman, S., Grewe, D., Nham, J., Kalchbrenner, N., Sutskever, I., Lillicrap, T., Leach, M., Kavukcuoglu, K., Graepel, T., Hassabis, D.: Mastering the game of go with deep neural networks and tree search. Nature 529, 484–489 (2016)
3. Gu, S., Holly, E., Lillicrap, T., Levine, S.: Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates. In: IEEE International Conference on Robotics and Automation (ICRA) (2017)
4. Akrour, R., Schoenauer, M., Sebag, M.: Preference-based policy learning. In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases (2011)
5. Knox, W.B., Stone, P.: Interactively shaping agents via human reinforcement: the TAMER framework. In: Fifth International Conference on Knowledge Capture (2009)
Cited by
4 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