1. Adam, L., Horčík, R., Kasl, T., Kroupa, T.: Double oracle algorithm for computing equilibria in continuous games. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 5070–5077 (2021)
2. Bailey, J.-P., Piliouras, G.: Multi-agent learning in network zero-sum games is a Hamiltonian system. In: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS, Montreal, QC, Canada, pp. 233–241. International Foundation for Autonomous Agents and Multiagent Systems (2019)
3. Baye, M.-R., Kovenock, D., de Vries, C.-G.: The solution to the tullock rent-seeking game when $$R > 2$$: mixed-strategy equilibria and mean dissipation rates. Public Choice 81(3), 363–80 (1994). https://doi.org/10.1007/BF01053238
4. Billingsley, P.: Probability and Measure, 3rd edn. Sons Inc., New York (1995)
5. Bregman, L.M., Fokin, I.N.: On separable non-cooperative zero-sum games. Optimization 44(1), 69–84 (1998). https://doi.org/10.1080/02331939808844400