arXiv Machine Learning By Conor M. Artman, Nicholas Di, Scott Perkins

IFlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information Games

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arXiv:2608. 05422v1 Announce Type: new Abstract: While many algorithms blend reinforcement learning (RL) with counterfactual regret (CFR) methods to leverage tradeoffs in computational speed and performance, there are fewer investigations into generative sampling frameworks in game theoretic applications in incomplete information games.

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