[HTML][HTML] Energy management in residential microgrid using model predictive control-based reinforcement learning and Shapley value
This paper presents an Energy Management (EM) strategy for residential microgrid systems
using Model Predictive Control (MPC)-based Reinforcement Learning (RL) and Shapley …
using Model Predictive Control (MPC)-based Reinforcement Learning (RL) and Shapley …
CS-Shapley: class-wise Shapley values for data valuation in classification
Data valuation, or the valuation of individual datum contributions, has seen growing interest
in machine learning due to its demonstrable efficacy for tasks such as noisy label detection …
in machine learning due to its demonstrable efficacy for tasks such as noisy label detection …
Efficient methods for approximating the Shapley value for asset sharing in energy communities
S Cremers, V Robu, D Hofman, T Naber… - Proceedings of the …, 2022 - dl.acm.org
With the emergence of energy communities, where a number of prosumers invest in shared
renewable generation capacity and battery storage, the issue of fair allocation of benefits …
renewable generation capacity and battery storage, the issue of fair allocation of benefits …
Bounding the estimation error of sampling-based Shapley value approximation
The Shapley value is arguably the most central normative solution concept in cooperative
game theory. It specifies a unique way in which the reward from cooperation can be" fairly" …
game theory. It specifies a unique way in which the reward from cooperation can be" fairly" …
A new approximation method for the Shapley value applied to the WTC 9/11 terrorist attack
T van Campen, H Hamers, B Husslage… - Social Network Analysis …, 2018 - Springer
Abstract The Shapley value (Shapley in Ann Math Stud 2: 28, 1953) is one of the most
prominent one-point solution concepts in cooperative game theory that divides revenues (or …
prominent one-point solution concepts in cooperative game theory that divides revenues (or …
[HTML][HTML] A cooperative game-theoretic approach to the social ridesharing problem
In this work, we adopt a cooperative game theoretic approach in order to tackle the social
ridesharing (SR) problem, where a set of commuters, connected through a social network …
ridesharing (SR) problem, where a set of commuters, connected through a social network …
Shapley meets uniform: An axiomatic framework for attribution in online advertising
One of the central challenges in online advertising is attribution, namely, assessing the
contribution of individual advertiser actions including emails, display ads and search ads to …
contribution of individual advertiser actions including emails, display ads and search ads to …
Potential Games Are Necessary to Ensure Pure Nash Equilibria in Cost Sharing Games
R Gopalakrishnan, JR Marden… - Mathematics of …, 2014 - pubsonline.informs.org
We consider the problem of designing distribution rules to share “welfare”(cost or revenue)
among individually strategic agents. There are many known distribution rules that guarantee …
among individually strategic agents. There are many known distribution rules that guarantee …
Portfolio performance attribution via shapley value
We consider an investment process that includes a number of features, each of which can
be active or inactive. Our goal is to attribute or decompose an achieved performance to each …
be active or inactive. Our goal is to attribute or decompose an achieved performance to each …
Addressing the computational issues of the Shapley value with applications in the smart grid
S Maleki - 2015 - eprints.soton.ac.uk
We consider the computational issues that arise in using the Shapley value in practical
applications. Calculating the Shapley value involves computing the value of an exponential …
applications. Calculating the Shapley value involves computing the value of an exponential …