Visual Radial Basis Q-Network

Author:

Hautot Julien,Teuliere Céline,Azzaoui Nourddine

Publisher

Springer International Publishing

Reference33 articles.

1. Anand, A., et al.: Unsupervised state representation learning in Atari. CoRR abs/1906.08226 (2019). arXiv: 1906.08226

2. Asadi, K., Parikh, N., Parr, R.E., Konidaris, G.D., Littman, M.L.: Deep radial-basis value functions for continuous control. In: Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (2021)

3. Broomhead, D.S., Lowe, D.: Radial basis functions. Multi-variable functional interpolation and adaptive networks. Technical report, Royal Signals and Radar Establishment Malvern (United Kingdom) (1988)

4. Buessler, J.L., et al.: Image receptive fields for artificial neural networks. Neurocomputing 144, 258–270 (2014). https://doi.org/10.1016/j.neucom.2014.04.045

5. Capel, N., Zhang, N.: Extended radial basis function controller for reinforcement learning. CoRR abs/2009.05866 (2020). arXiv: 2009.05866

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