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Tutorial: Learning Topics in Game-Theoretic Decision Makinghighlight areas in which computational learning theory has played a role and could play a greater role in the future. Covered areas include recent representational and algorithmic advances, stochastic games and reinforcement learning, no regret algorithms, and the role of various equilibrium concepts.严厉批评 发表于 2025-3-24 05:16:19
Bernhard Schölkopf,Manfred K. WarmuthIncludes supplementary material:不能强迫我 发表于 2025-3-24 09:31:41
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/l/image/582823.jpgnephritis 发表于 2025-3-24 11:31:19
978-3-540-40720-1Springer-Verlag Berlin Heidelberg 2003buoyant 发表于 2025-3-24 17:40:56
Learning Theory and Kernel Machines978-3-540-45167-9Series ISSN 0302-9743 Series E-ISSN 1611-3349ARENA 发表于 2025-3-24 20:59:57
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