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Zwetsloot, Eva (author)In multi-agent systems reaching consensus has been a long-standing problem. A considerable amount of research has been focused on how event-triggered consensus can be used to limit the energy consumption of the communication system while still ensuring convergence to the neighbourhood of a point or a formation. These algorithms rely on having...master thesis 2023
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Jarne Ornia, D. (author)Besides facing the same challenges as single-agent systems, the distributed nature of complex multi-agent systems sparks many questions and problems revolving around the constraints imposed by communication. The idea that multi-agent systems require communication to access information, to coordinate or simply to sense the environment they are...doctoral thesis 2023
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Krilašević, S. (author), Grammatico, S. (author)In this paper, we solve the problem of learning a generalized Nash equilibrium (GNE) in merely monotone games. First, we propose a novel continuous semi-decentralized solution algorithm without projections that uses first-order information to compute a GNE with a central coordinator. As the second main contribution, we design a gain...journal article 2023
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Raja, A.A. (author), Grammatico, S. (author)In this article, we propose a bilateral peer-to-peer (P2P) energy trading scheme under single-contract and multi-contract market setups, both as an assignment game, a special class of coalitional games. The proposed market formulation allows for efficient computation of a market equilibrium while keeping the desired economic properties...journal article 2023
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Belgioioso, Giuseppe (author), Grammatico, S. (author)We address the generalized Nash equilibrium seeking problem for a population of agents playing aggregative games with affine coupling constraints. We focus on semi-decentralized communication architectures, where there is a central coordinator able to gather and broadcast signals of aggregative nature to the agents. By exploiting the...journal article 2023
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Yesevi, Gevher (author), Keskin, M.O. (author), Doğru, Anıl (author), Aydoğan, Reyhan (author)In agent-based negotiations, it is crucial to understand the opponent’s behavior and predict its bidding pattern to act strategically. Foreseeing the utility of the opponent’s coming offer provides valuable insight to the agent so that it can decide its next move wisely. Accordingly, this paper addresses predicting the opponent’s coming...conference paper 2023
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Ciatto, Giovanni (author), Magnini, Matteo (author), Buzcu, Berk (author), Aydoğan, Reyhan (author), Omicini, Andrea (author)Building on prior works on explanation negotiation protocols, this paper proposes a general-purpose protocol for multi-agent systems where recommender agents may need to provide explanations for their recommendations. The protocol specifies the roles and responsibilities of the explainee and the explainer agent and the types of information...conference paper 2023
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Zhai, P. (author), Rajan, R.T. (author)Gaussian Process (GP) is a flexible non-parametric method which has a wide variety of applications e.g., field estimation using multi-agent systems. However, the training of the hyperparameters suffers from high computational complexity. Recently, distributed hyperparameter optimization with proximal gradients has been proposed to reduce...conference paper 2023
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Noorafza, M. (author), Santos, Bruno F. (author), Sharpanskykh, Alexei (author), Zengerling, Zarah L. (author), Weder, Christian M. (author), Linke, Florian (author), Grewe, V. (author)The aviation industry has set an ambitious goal of reducing its climate impacts. Accordingly, airlines must balance their plans according to this goal with financial considerations. We developed a multi-objective framework to facilitate climate-aware network design by incorporating the objective to minimise the flight average temperature...journal article 2023
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van Tilburg, Jasper (author), Cavalcante Siebert, L. (author), Cremer, Jochen (author)This paper presents a decentralized Multi-Agent Reinforcement Learning (MARL) approach to an incentive-based Demand Response (DR) program, which aims to maintain the capacity limits of the electricity grid and prevent grid congestion by financially incentivizing residential consumers to reduce their energy consumption. The proposed approach...conference paper 2023
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Jansma, Walter (author)With the world’s population recently surpassing the 8 billion mark, population growth poses significant challenges on the planet. This growth is particularly evident in urban areas, and as a consequence, cities must find innovative ways to accommodate the increasing pressure on the current road infrastructure. In Amsterdam, a city with an...master thesis 2022
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Hekkelman, B. (author)We consider energy systems in the built environment. With the transition to a more sustainable, distributed, and 'smart' energy system, such local grids are undergoing significant changes. Among other developments, the new role of end-users as 'prosumers' - users that can either produce or consume power depending on the situation - is turning...doctoral thesis 2022
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Fransman, J.E. (author)After the Second World War, chemical warfare agents and munitions were dumped in the Baltic Sea and the North Sea.<br/>In order to assess the severity of the environmental consequences, it is important that the chemical warfare agents are located and their condition is investigated as soon as possible.<br/>In order to reduce this time, the...doctoral thesis 2022
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Tao, T. (author)This thesis deals with the adaptive control of interconnected systems and multi-agent systems, where adaptive control is used to deal with the presence of uncertainties. Generally, two types of uncertainties can occur. The first one is parametric uncertainty, which is most commonly addressed in the literature, and for which several design...doctoral thesis 2022
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Zhai, Peiyuan (author)This work is focused on the distributed system, i.e. Multi-agent Systems (MAS), with application in environmental monitoring and learning. The specific task is to develop algorithms, i.e. Gaussian Process (GP), that are robust, accurate and fully-distributed to learn the unknown spatial environmental field. The two main problems are (1). how to...master thesis 2022
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Chen, Szu-Tung (author)Inspired by the vision of fully autonomous airside operations at Schiphol airport, this study aims to contribute to the short-term goal of automated aircraft ground handling. In this research, we design and evaluate a multi-agent system for planning of automated ground handling. There are two main components in the system, task allocation...master thesis 2022
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Kamphof, Jorick (author)Growth in air traffic demand and the increasing importance of reducing emissions cause airports to consider the improvement of their ground surface movement operations in terms of efficiency and environmental impact. Over the past years, engine-off taxiing techniques have been considered to reduce the environmental impact of airport taxiing...master thesis 2022
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Bianchi, M. (author), Belgioioso, Giuseppe (author), Grammatico, S. (author)We address the generalized Nash equilibrium seeking problem in a partial-decision information scenario, where each agent can only exchange information with some neighbors, although its cost function possibly depends on the strategies of all agents. The few existing methods build on projected pseudo-gradient dynamics, and require either double...journal article 2022
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Franci, B. (author), Grammatico, S. (author)We consider for the first time a stochastic generalized Nash equilibrium problem, i.e., with expected-value cost functions and joint feasibility constraints, under partial-decision information, meaning that the agents communicate only with some trusted neighbors. We propose several distributed algorithms for network games and aggregative...journal article 2022
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Arslan, Furkan (author), Aydoğan, Reyhan (author)Designing an effective and intelligent bidding strategy is one of the most compelling research challenges in automated negotiation, where software agents negotiate with each other to find a mutual agreement when there is a conflict of interests. Instead of designing a hand-crafted decision-making module, this work proposes a novel bidding...journal article 2022