Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games
–Neural Information Processing Systems
Real world applications such as economics and policy making often involve solving multi-agent games with two unique features: (1) The agents are inherently and partitioned into leaders and followers; (2) The agents have different reward functions, thus the game is . The majority of existing results in this field focuses on either symmetric solution concepts (e.g.
Neural Information Processing Systems
Dec-25-2025, 00:17:35 GMT
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