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We introduce a new algorithm for the numerical computation of Nash equilibria of competitive two-player games.
Iterative solution of games by fictitious play
Brown, G. W. (1951) · 1951
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Extragradient method for finding saddle points and other problems
Korpelevich, G. (1977) · 1977
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Fast exact multiplication by the hessian
Pearlmutter, B. A. (1994) · 1994
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Finite-dimensional variational inequalities and complementarity problems. Vol. II
Facchinei, F. and Pang, J.-S. (2003) · 2003
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Iterative methods for sparse linear systems
Saad, Y. (2003) · 2003
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Excessive gap technique in nonsmooth convex minimization
Nesterov, Y. (2005) · 2005
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Cubic regularization of Newton method and its global performance
Nesterov, Y. and Polyak, B. T. (2006) · 2006
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Numerical optimization
Nocedal, J. and Wright, S. J. (2006) · 2006
Earlier work this paper cites.
Gradient-based algorithms for finding nash equilibria in extensive form games
Gilpin, A., Hoda, S., Pena, J., and Sandholm, T. (2007) · 2007
Earlier work this paper cites.
Algorithmic game theory
Nisan, N., Roughgarden, T., Tardos, E., and Vazirani, V. V. (2007) · 2007
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Convex repeated games and fenchel duality
Shalev-Shwartz, S. and Singer, Y. (2007) · 2007
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Robust statistics
Huber, P. J. and Ronchetti, E. M. (2009) · 2009
Earlier work this paper cites.
Theory and applications of robust optimization
Bertsimas, D., Brown, D. B., and Caramanis, C. (2011) · 2011
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Online learning with predictable sequences
Rakhlin, A. and Sridharan, K. (2013) · 2013
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Generative adversarial nets
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y. (2014) · 2014
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Hierarchical control using networks trained with higher-level forward models
Wayne, G. and Abbott, L. (2014) · 2014
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Gradient descent converges to minimizers
Lee, J. D., Simchowitz, M., Jordan, M. I., and Recht, B. (2016) · 2016
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Proximal gradient temporal difference learning algorithms
Liu, B., Liu, J., Ghavamzadeh, M., Mahadevan, S., and Petrik, M. (2016) · 2016
On the limitations of first-order approximation in gan dynamics
Li, J., Madry, A., Peebles, J., and Schmidt, L. (2017) · 2017
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The numerics of gans
Mescheder, L., Nowozin, S., and Geiger, A. (2017) · 2017
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Curiosity-driven exploration by self-supervised prediction
Pathak, D., Agrawal, P., Efros, A. A., and Darrell, T. (2017) · 2017
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Feudal networks for hierarchical reinforcement learning
Vezhnevets, A. S., Osindero, S., Schaul, T., Heess, N., Jaderberg, M., Silver, D., and Kavukcuoglu, K. (2017) · 2017
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Stabilizing adversarial nets with prediction methods
Yadav, A., Shah, S., Xu, Z., Jacobs, D., and Goldstein, T. (2017) · 2017
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Unrolled generative adversarial networks
Metz, L., Poole, B., Pfau, D., and Sohl-Dickstein, J. (2016) · 2016
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Connecting generative adversarial networks and actor-critic methods
Pfau, D. and Vinyals, O. (2016) · 2016
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Forward-mode automatic differentiation in julia
Revels, J., Lubin, M., and Papamarkou, T. (2016) · 2016
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Daskalakis, C., Ilyas, A., Syrgkanis, V., and Zeng, H. (2017) · 2017
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An online learning approach to generative adversarial networks
Grnarova, P., Levy, K. Y., Lucchi, A., Hofmann, T., and Krause, A. (2017) · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., and Hochreiter, S. (2017) · 2017
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Balduzzi, D., Racaniere, S., Martens, J., Foerster, J., Tuyls, K., and Graepel, T. (2018) · 2018
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Learning with opponent-learning awareness
Foerster, J., Chen, R. Y., Al-Shedivat, M., Whiteson, S., Abbeel, P., and Mordatch, I. (2018) · 2018
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Global convergence to the equilibrium of gans using variational inequalities
Gemp, I. and Mahadevan, S. (2018) · 2018
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Interaction matters: A note on non-asymptotic local convergence of generative adversarial networks
Liang, T. and Stokes, J. (2018) · 2018
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Differentiable game mechanics
Letcher, A., Balduzzi, D., Racanière, S., Martens, J., Foerster, J., Tuyls, K., and Graepel, T. (2019) · 2019
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Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
Mertikopoulos, P., Zenati, H., Lecouat, B., Foo, C.-S., Chandrasekhar, V., and Piliouras, G. (2019) · 2019
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