Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces - researchr publication authors

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Alberto Marchesi, Francesco Trovò, Nicola Gatti 0001. Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces. In Amal El Fallah-Seghrouchni, Gita Sukthankar, Bo An 0001, Neil Yorke-Smith, editors, Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS '20, Auckland, New Zealand, May 9-13, 2020. pages 834-842, International Foundation for Autonomous Agents and Multiagent Systems, 2020. [doi]

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