[5] Noam Brown and Tuomas Sandholm. Superhuman ai for heads-up no-limit poker: Libratus beats top professionals. Science, 359(6374):418-424, 2018.
[6] Ozan Candogan, Ishai Menache, Asuman Ozdaglar, and Pablo A Parrilo. Flows and decompositions of games: Harmonic and potential games. Mathematics of Operations Research, 36(3):474-503, 2011.
[7] Frank H Clarke. Generalized gradients and applications. Transactions of the American Mathematical Society, 205:247-262, 1975.
[8] Antoine Cully, Jeff Clune, Danesh Tarapore, and Jean-Baptiste Mouret. Robots that can adapt like animals. Nature, 521(7553):503-507, 2015.
[9] Wojciech M Czarnecki, Gauthier Gidel, Brendan Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, and Max Jaderberg. Real world games look like spinning tops. In Advances in Neural Information Processing Systems, volume 33, pages 17443-17454, 2020.
[10] Benjamin Eysenbach, Abhishek Gupta, Julian Ibarz, and Sergey Levine. Diversity is all you need: Learning skills without a reward function. In International Conference on Learning Representations, 2018.
[11] Gabriele Farina, Christian Kroer, and Tuomas Sandholm. Optimistic regret minimization for extensive-form games via dilated distance-generating functions. Advances in neural information processing systems, 32, 2019.
[12] Xidong Feng, Oliver Slumbers, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang, and Yaodong Yang. Neural auto-curricula in two-player zero-sum games. In Advances in Neural Information Processing Systems, volume 34, pages 3504-3517, 2021.
[13] David B Fogel. Evolutionary computation: toward a new philosophy of machine intelligence. John Wiley & Sons, 2006.
[14] Haobo Fu, Weiming Liu, Shuang Wu, Yijia Wang, Tao Yang, Kai Li, Junliang Xing, Bin Li, Bo Ma, Qiang Fu, et al. Actor-critic policy optimization in a large-scale imperfect-information game. In International Conference on Learning Representations, 2021.
[15] Haobo Fu, Ye Tian, Hongxiang Yu, Weiming Liu, Shuang Wu, Jiechao Xiong, Ying Wen, Kai Li, Junliang Xing, Qiang Fu, et al. Greedy when sure and conservative when uncertain about the opponents. In International Conference on Machine Learning, pages 6829-6848. PMLR, 2022.
[16] Justin Fu, Katie Luo, and Sergey Levine. Learning robust rewards with adversarial inverse reinforcement learning. arXiv preprint arXiv:1710.11248, 2017.
[17] Drew Fudenberg and David K Levine. Consistency and cautious fictitious play. Journal of Economic Dynamics and Control, 19(5-7):1065-1089, 1995.
[18] Johannes Heinrich, Marc Lanctot, and David Silver. Fictitious self-play in extensive-form games. In International conference on machine learning, pages 805-813. PMLR, 2015.
[19] Johannes Heinrich and David Silver. Deep reinforcement learning from self-play in imperfect-information games. arXiv preprint arXiv:1603.01121, 2016.
[20] Jonathan Ho and Stefano Ermon. Generative adversarial imitation learning. Advances in neural information processing systems, 29, 2016.
[21] Samid Hoda, Andrew Gilpin, Javier Pena, and Tuomas Sandholm. Smoothing techniques for computing nash equilibria of sequential games. Mathematics of Operations Research, 35(2):494-512, 2010.
[22] Zhang-Wei Hong, Tzu-Yun Shann, Shih-Yang Su, Yi-Hsiang Chang, Tsu-Jui Fu, and Chun-Yi Lee. Diversity-driven exploration strategy for deep reinforcement learning. In Advances in neural information processing systems, volume 31, 2018.
[23] Max Jaderberg, Wojciech M Czarnecki, Iain Dunning, Luke Marris, Guy Lever, Antonio Garcia Castaneda, Charles Beattie, Neil C Rabinowitz, Ari S Morcos, Avraham Ruderman, et al. Human-level performance in 3d multiplayer games with population-based reinforcement learning. Science, 364(6443):859-865, 2019.
[24] Seyed Kamyar Seyed Ghasemipour, Richard Zemel, and Shixiang Gu. A divergence minimization perspective on imitation learning methods. arXiv e-prints, pages arXiv-1911, 2019.
[25] Saurabh Kumar, Aviral Kumar, Sergey Levine, and Chelsea Finn. One solution is not all you need: Few-shot extrapolation via structured maxent rl. In Advances in Neural Information Processing Systems, volume 33, pages 8198-8210, 2020.