Results 71 to 80 of about 565 (179)
Resource Allocation in Multi-User Cognitive Radio Network With Stackelberg Game
IEEE Access, 2020 Resource allocation with sensing-based interference price is considered for multi-users cognitive radio (CR) network, in which the primary base station (PBS) controls the secondary users' (SUs) transmission by pricing the SUs' interference power.
Bing Ning +5 more
doaj +1 more source
Enabling Stochastic Dynamic Games for Robotic Swarms
Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley +1 more source
Coresidence: How parental characteristics matter
Real Estate Economics, Volume 54, Issue 3, Page 700-726, May 2026.Abstract Coresidence in the parental home is known to depend on young adult characteristics and market conditions, but there is more limited knowledge on whether or how parental characteristics matter. We model the coresidence outcome as a multigenerational joint optimization decision and use Panel Study of Income Dynamics data to examine the ...
Arthur Acolin +2 more
wiley +1 more source
International Transactions in Operational Research, Volume 33, Issue 3, Page 1971-2015, May 2026.Abstract In most blood supply chains, blood centers and hospitals make individual decisions, resulting in an inefficient structure of the blood supply chain, which in turn renders supply and demand matching a challenging exercise. In this work, we make the very first attempt to optimize the interaction between blood centers and hospitals.
Mohammad S. Moshtagh +2 more
wiley +1 more source
Gradient Methods for Solving Stackelberg Games [PDF]
, 2019 Stackelberg Games are gaining importance in the last years due to the raise of Adversarial Machine Learning (AML). Within this context, a new paradigm must be faced: in classical game theory, inter- vening agents were humans whose decisions are generally discrete and low dimensional.
Roi Naveiro, David Ríos Insua
openaire +4 more sources
Regret in durable‐good monopoly
Theoretical Economics, Volume 21, Issue 2, Page 615-667, May 2026.I study a dynamic model of durable‐good monopoly where the seller minimizes lifetime regret against the worst‐case type of buyer. The optimal mechanism is time consistent: at no point can the seller benefit from replacing it with another mechanism. Despite this, the optimal mechanism cannot be supported in an equilibrium without commitment.
Rumen Kostadinov
wiley +1 more source
Pessimistic Bilevel Optimization: A Survey
International Journal of Computational Intelligence Systems, 2018 Bilevel optimization are often addressed in an organizational hierarchy in which the upper level decision maker is the leader and the lower level decision maker is the follower.
June Liu +3 more
doaj +1 more source
A Stackelberg Game Model of Flocking
2024 IEEE 63rd Conference on Decision and Control (CDC)We study a Stackelberg game to examine how two agents determine to cooperate while competing with each other. Each selects an arrival time to a destination, the earlier one fetching a higher reward. There is, however, an inherent penalty in arriving too early as well as a risk in traveling alone.
Chenlan Wang 0001 +2 more
openaire +2 more sources
IEEE Access, 2019 Mobile crowdsourcing is a promising paradigm for collecting sensing data by leveraging contributions of numerous mobile smart phones. It works efficiently with Word of Mouth Mode (WoM), especially for sensing tasks with time and location constraints ...
Feng Zeng, Runhua Wang, Jinsong Wu
doaj +1 more source