Deep learning applications in games: a survey from a data perspective
This paper presents a comprehensive review of deep learning applications in the video
game industry, focusing on how these techniques can be utilized in game development …
game industry, focusing on how these techniques can be utilized in game development …
Hedonic games with fixed-size coalitions
In hedonic games, a set of n agents, having preferences over all possible coalition
structures, needs to agree on a stable outcome. In this work, we initiate the study of hedonic …
structures, needs to agree on a stable outcome. In this work, we initiate the study of hedonic …
Strategic social team crowdsourcing: Forming a team of truthful workers for crowdsourcing in social networks
With the increasing complexity of tasks that are crowdsourced, requesters need to form
teams of professional workers that can satisfy complex task skill requirements. Team …
teams of professional workers that can satisfy complex task skill requirements. Team …
Optmatch: Optimized matchmaking via modeling the high-order interactions on the arena
Matchmaking is a core problem for the e-sports and online games, which determines the
player satisfaction and further influences the life cycle of the gaming products. Most of …
player satisfaction and further influences the life cycle of the gaming products. Most of …
Stable outcomes in modified fractional hedonic games
In coalition formation games self-organized coalitions are created as a result of the strategic
interactions of independent agents. In this paper we assume that for each couple of agents …
interactions of independent agents. In this paper we assume that for each couple of agents …
Strategyproof mechanisms for additively separable and fractional hedonic games
Additively separable hedonic games and fractional hedonic games have received
considerable attention in the literature. They are coalition formation games among selfish …
considerable attention in the literature. They are coalition formation games among selfish …
Neuralac: Learning cooperation and competition effects for match outcome prediction
Match outcome prediction in group comparison setting is a challenging but important task.
Existing works mainly focus on learning individual effects or mining limited interactions …
Existing works mainly focus on learning individual effects or mining limited interactions …
Practical algorithms and experimentally validated incentives for equilibrium-based fair division (A-CEEI)
Approximate Competitive Equilibrium from Equal Incomes (A-CEEI) is an equilibrium-based
solution concept for fair division of discrete items to agents with combinatorial demands. In …
solution concept for fair division of discrete items to agents with combinatorial demands. In …
The three-dimensional stable roommates problem with additively separable preferences
Abstract The Stable Roommates problem involves matching a set of agents into pairs based
on the agents' strict ordinal preference lists. The matching must be stable, meaning that no …
on the agents' strict ordinal preference lists. The matching must be stable, meaning that no …
Multi-dimensional stable roommates in 2-dimensional Euclidean space
J Chen, S Roy - arXiv preprint arXiv:2108.03868, 2021 - arxiv.org
We investigate the Euclidean $ d $-Dimensional Stable Roommates problem, which asks
whether a given set~ $ V $ of $ d\cdot n $ points from the 2-dimensional Euclidean space …
whether a given set~ $ V $ of $ d\cdot n $ points from the 2-dimensional Euclidean space …