Learning equilibria in symmetric auction games using artificial neural networks

Author:

Bichler MartinORCID,Fichtl Maximilian,Heidekrüger StefanORCID,Kohring Nils,Sutterer Paul

Funder

Deutsche Forschungsgemeinschaft

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Software

Reference62 articles.

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2. Daskalakis, C., Ilyas, A., Syrgkanis, V. & Zeng, H. Training gans with optimism. Preprint at https://arxiv.org/abs/1711.00141 (2017).

3. Silver, D. et al. A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play. Science 362, 1140–1144 (2018).

4. Daskalakis, C., Goldberg, P. & Papadimitriou, C. The complexity of computing a nash equilibrium. SIAM J. Comput. 39, 195–259 (2009).

5. Brown, G. W in Activity Analysis of Production and Allocation (ed. Koopmans, T. C.) 374–376 (Wiley, 1951).

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