Publications related to Strategy (game theory)

Social Learning Under Inferential Attacks

Ali H. Sayed, Stefan Vlaski, Virginia Bordignon, Konstantinos Ntemos

A common assumption in the social learning literature is that agents exchange information in an unselfish manner. In this work, we consider the scenario where a subset of agents aims at driving the network beliefs to the wrong hypothesis. The adversaries a ...

IEEE2021

Anchoring single platinum atoms onto nickel nanoparticles affords highly selective catalysts for lignin conversion

Paul Joseph Dyson, Gabor Laurenczy, Zhaofu Fei, Antoine Philippe Van Muyden, Lu Chen, Ulf Anders Hagfeldt, Jun Li, Lichen Bai, Linfeng Pan, Yun Tong

Due to the highly complex polyphenolic structure of lignin, depolymerization without a prior chemical treatment is challenging, and new catalysts are required. Atomically dispersed catalysts are able to maximize the atomic efficiency of noble metals, simul ...

ELSEVIER2021

Mixed Strategies for Robust Optimization of Unknown Objectives

Maryam Kamgarpour, Andreas Krause, Ilija Bogunovic

We consider robust optimization problems, where the goal is to optimize an unknown objective function against the worst-case realization of an uncertain parameter. For this setting, we design a novel sample-efficient algorithm GP-MRO, which sequentially le ...

PMLR2020

An unethical optimization principle

Anthony Christopher Davison

If an artificial intelligence aims to maximize risk-adjusted return, then under mild conditions it is disproportionately likely to pick an unethical strategy unless the objective function allows sufficiently for this risk. Even if the proportion eta of ava ...

ROYAL SOC2020

Regret Minimization and Separation in Multi-Bidder Multi-Item Auctions

Daniel Kuhn, Napat Rujeerapaiboon, Cagil Kocyigit

We study a robust auction design problem with a minimax regret objective, where a seller seeks a mechanism for selling multiple items to multiple anonymous bidders with additive values. The seller knows that the bidders' values range over a box uncertainty ...

2020

MATHICSE Technical Report : A Multilevel Stochastic Gradient method for PDE-constrained Optimal Control Problems with uncertain parameters

Fabio Nobile, Matthieu Claude Martin, Panagiotis Tsilifis

In this paper, we present a multilevel Monte Carlo (MLMC) version of the Stochastic Gradient (SG) method for optimization under uncertainty, in order to tackle Optimal Control Problems (OCP) where the constraints are described in the form of PDEs with rand ...

MATHICSE2020

B(0)shimming for in vivo magnetic resonance spectroscopy: Experts' consensus recommendations

Rolf Gruetter, Cristina Ramona Cudalbu

Magnetic resonance spectroscopy (MRS) and spectroscopic imaging (MRSI) allow the chemical analysis of physiological processes in vivo and provide powerful tools in the life sciences and for clinical diagnostics. Excellent homogeneity of the static B(0)magn ...

2020

Enantioselective Carboetherification/Hydrogenation for the Synthesis of Amino Alcohols via a Catalytically Formed Chiral Auxiliary

Jérôme Waser, Mikus Purins, Phillip Gulliver Dominic Greenwood, Luca Buzzetti

Chiral auxiliaries and asymmetric catalysis are the workhorses of enantioselective transformations, but they still remain limited in terms of either efficiency or generality. Herein, we present an alternative strategy for controlling the stereoselectivity ...

2020

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Strategy (game theory)

Bandit Online Learning of Nash Equilibria in Monotone Games

Social Learning Under Inferential Attacks

Anchoring single platinum atoms onto nickel nanoparticles affords highly selective catalysts for lignin conversion

Mixed Strategies for Robust Optimization of Unknown Objectives

An unethical optimization principle

Regret Minimization and Separation in Multi-Bidder Multi-Item Auctions

A Multiagent Model of Efficient and Sustainable Financial Markets

MATHICSE Technical Report : A Multilevel Stochastic Gradient method for PDE-constrained Optimal Control Problems with uncertain parameters

B(0)shimming for in vivo magnetic resonance spectroscopy: Experts' consensus recommendations

Enantioselective Carboetherification/Hydrogenation for the Synthesis of Amino Alcohols via a Catalytically Formed Chiral Auxiliary

Graph Chatbot

Chat with Graph Search

Social Learning Under Inferential Attacks

Bandit Online Learning of Nash Equilibria in Monotone Games

Mixed Strategies for Robust Optimization of Unknown Objectives

Regret Minimization and Separation in Multi-Bidder Multi-Item Auctions

An unethical optimization principle

Anchoring single platinum atoms onto nickel nanoparticles affords highly selective catalysts for lignin conversion

A Multiagent Model of Efficient and Sustainable Financial Markets

MATHICSE Technical Report : A Multilevel Stochastic Gradient method for PDE-constrained Optimal Control Problems with uncertain parameters

B(0)shimming for in vivo magnetic resonance spectroscopy: Experts' consensus recommendations

Enantioselective Carboetherification/Hydrogenation for the Synthesis of Amino Alcohols via a Catalytically Formed Chiral Auxiliary