神圣将军
发表于 2025-3-26 22:25:09
Insightful Mining Equilibriaame mining power. Then we investigate the mining game where all pools can choose to be honest or take the insightful mining strategy. We characterize the Nash equilibrium of such a game and derive three corollaries: (a) each mining game has a . Nash equilibrium; (b) there are at most two insightful
accomplishment
发表于 2025-3-27 02:41:06
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CLOWN
发表于 2025-3-27 09:20:55
Online Allocation and Display Ads Optimization with Surplus Supplylgorithm and the optimal competitive ratio are a function of the supply factor, penalty, and the distribution of the bids in the Ad Exchange..Beyond the yield optimization problem, classic online allocation problems such as online bipartite matching of Karp-Vazirani-Vazirani [.] and its vertex-weigh
Uncultured
发表于 2025-3-27 12:07:47
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BOGUS
发表于 2025-3-27 17:31:15
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Acetabulum
发表于 2025-3-27 17:53:54
Online Team Formation Under Different Synergies. Our work provides a complete characterization of the regret landscape for all symmetric functions of two binary inputs. In particular, we develop team-selection policies that, despite being agnostic of model parameters, achieve optimal or near-optimal regret against an adaptive adversary.
演绎
发表于 2025-3-28 00:41:48
Online Team Formation Under Different Synergies. Our work provides a complete characterization of the regret landscape for all symmetric functions of two binary inputs. In particular, we develop team-selection policies that, despite being agnostic of model parameters, achieve optimal or near-optimal regret against an adaptive adversary.
achlorhydria
发表于 2025-3-28 06:03:20
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Aggregate
发表于 2025-3-28 07:40:15
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GNAT
发表于 2025-3-28 14:11:04
Exploiting Extensive-Form Structure in Empirical Game-Theoretic Analysis tractability. We establish theoretically and experimentally that exploiting even a little temporal structure can vastly reduce estimation error in strategy-profile payoffs compared to the normal-form model. Further, we explore the implications of EFG models for iterative approaches to EGTA, where s