Category
Game theory
Related publications (221)
Breaking Blockchain Rationality with Out-of-Band Collusion
Bryan Alexander Ford, Verónica del Carmen Estrada Galiñanes, Louis-Henri Manuel Jakob Merino, Haoqian Zhang, Mahsa Bastankhah
Blockchain systems often rely on rationality assumptions for their security, expecting that nodes are motivated to maximize their profits. These systems thus design their protocols to incentivize nodes to execute the honest protocol but fail to consider ou ...
Cham2024New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization
Daniel Kuhn, Florian Dörfler, Soroosh Shafieezadeh Abadeh
We study optimal transport-based distributionally robust optimization problems where a fictitious adversary, often envisioned as nature, can choose the distribution of the uncertain problem parameters by reshaping a prescribed reference distribution at a f ...
2023Equilibria in Network Constrained Energy Markets
We study an energy market composed of producers who compete to supply energy to different markets and want to maximize their profits. The energy market is modeled by a graph representing a constrained power network where nodes represent the markets and lin ...
Elsevier2023Ride-hail vehicle routing (RIVER) as a congestion game
The RIde-hail VEhicle Routing (RIVER) problem describes how drivers in a ride-hail market form a dynamic routing strategy according to the expected reward in each zone of the market. We model this decision-making problem as a Markov decision process (MDP), ...
2023Adversarial Training Should Be Cast As a Non-Zero-Sum Game
Volkan Cevher, Seyed Hamed Hassani, Fabian Ricardo Latorre Gomez
One prominent approach toward resolving the adversarial vulnerability of deep neural networks is the two-player zero-sum paradigm of adversarial training, in which predictors are trained against adversarially-chosen perturbations of data. Despite the promi ...
2023Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units
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 LTD2023Price discrimination with robust beliefs
This paper considers the problem of second-degree price discrimination when the type distribution is unknown or imperfectly specified by means of an ambiguity set. As robustness measure we use a performance index, equivalent to relative regret, which quant ...
2023Identifying invariant solutions of wall-bounded three-dimensional shear flows using robust adjoint-based variational techniques
Tobias Schneider, Omid Ashtari
Invariant solutions of the Navier-Stokes equations play an important role in the spatiotemporally chaotic dynamics of turbulent shear flows. Despite the significance of these solutions, their identification remains a computational challenge, rendering many ...
Cambridge2023Hierarchical Pricing Game for Balancing the Charging of Ride-Hailing Electric Fleets
Nikolaos Geroliminis, Nils Gustav Nilsson, Marko Maljkovic
Due to the ever-increasing popularity of ride-hailing services and the indisputable shift towards alternative fuel vehicles, the intersection of the ride-hailing market and smart electric mobility provides an opportunity to trade different services to achi ...
2023How Many Are Too Many? Analyzing Dockless Bike-Sharing Systems with a Parsimonious Model
Using a parsimonious model, this paper analyzes a dockless bike-sharing (DLB) service that competes with walking and a generic motorized mode. The DLB operator chooses a fleet size and a fare schedule that dictate the level of service (LOS) as measured by ...
2023