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Found 6 papers, 1 papers with code
Conditional Max-Sum for Asynchronous Multiagent Decision Making
In this paper we present a novel approach for multiagent decision making in dynamic environments based on Factor Graphs and the Max-Sum algorithm, considering asynchronous variable reassignments and distributed message-passing among agents.
A Novel Multiagent Flexibility Aggregation Framework
The increasing number of Distributed Energy Resources (DERs) in the emerging Smart Grid, has created an imminent need for intelligent multiagent frameworks able to utilize these assets efficiently.
The Performance Impact of Combining Agent Factorization with Different Learning Algorithms for Multiagent Coordination
In this work, we explore if the performance impact of agent factorization is different when using different learning algorithms in multiagent coordination set- tings.
Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football
In this paper, we present a novel approach for optimising long-term tactical and strategic decision-making in football (soccer) by encapsulating events in a league environment across a given time frame.
CLFD: A Novel Vectorization Technique and Its Application in Fake News Detection
In addition, we demonstrate that a novel hybrid method that utilizes both a clfd-boosted logistic regression classifier and a deep learning one, clearly outperforms deep learning methods even in large datasets.
Optimising Game Tactics for Football
In this paper we present a novel approach to optimise tactical and strategic decision making in football (soccer).
