Publications associées (25)

An Iterative Adaptive Dynamic Programming Approach for Macroscopic Fundamental Diagram-Based Perimeter Control and Route Guidance

Nikolaos Geroliminis, Can Chen

Macroscopic fundamental diagrams (MFDs) have been widely adopted to model the traffic flow of large-scale urban networks. Coupling perimeter control and regional route guidance (PCRG) is a promising strategy to decrease congestion heterogeneity and reduce ...
Informs2024

Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units

Olga Fink, Mina Montazeri

This paper proposes a safe reinforcement learning algorithm for generation bidding decisions and unit maintenance scheduling in a competitive electricity market environment. In this problem, each unit aims to find a bidding strategy that maximizes its reve ...
ELSEVIER SCI LTD2023

Imputation of missing information in worldwide patent data

Gaétan Jean A de Rassenfosse

We present a general method for imputing missing information in the Worldwide Patent Statistical Database (PATSTAT) and make the resulting datasets publicly available. The PATSTAT database is the de facto standard for academic research using patent data. C ...
ELSEVIER2021

Three Problems of Liquidity under Asymmetric Information

Sylvain Jean Pascal Carré

This thesis develops models for three problems of liquidity under asymmetric information. In the chapter "Disclosures, Rollover Risk, and Debt Runs" I build a model of dynamic debt runs without perfect information in order to understand the impact of asset ...
EPFL2019

Data-Driven Inverse Optimization with Incomplete Information

Daniel Kuhn, Soroosh Shafieezadeh Abadeh, Peyman Mohajerin Esfahani, Grani Adiwena Hanasusanto

In data-driven inverse optimization an observer aims to learn the preferences of an agent who solves a parametric optimization problem depending on an exogenous signal. Thus, the observer seeks the agent's objective function that best explains a historical ...
2018

Game-theoretic Models of Web Credibility

Karl Aberer

Research on Web credibility assessment can significantly benefit from new models that are better suited for evaluation and study of adversary strategies. Currently employed models lack several important aspects, such as the explicit modeling of Web content ...
ACM2012

Optimal process plan selection in networked based manufacturing using game-theoretic approach

Naoufel Cheikhrouhou

This paper proposes a scheme for generating optimal process plans for multi jobs in a networked based manufacturing system. Networked manufacturing offers several advantages in the current competitive atmosphere such as reducing short manufacturing cycle t ...
2012

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