The Feasibility of Deep Counterfactual Regret Minimisation for Trading Card Games

David Adams. The Feasibility of Deep Counterfactual Regret Minimisation for Trading Card Games. In Haris Aziz 0001, DĂ©bora CorrĂȘa, Tim French 0002, editors, AI 2022: Advances in Artificial Intelligence - 35th Australasian Joint Conference, AI 2022, Perth, WA, Australia, December 5-8, 2022, Proceedings. Volume 13728 of Lecture Notes in Computer Science, pages 145-160, Springer, 2022. [doi]

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