Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control von Alegre, Lucas N, Bazzan, Ana L.C, da Silva, Bruno C

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Sharing diverse information gets driver agents to learn faster: an application in en route trip building von Dos Santos, Guilherme Dytz, Bazzan, Ana L C

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Aligning individual and collective welfare in complex socio-technical systems by combining metaheuristics and reinforcement learning von Bazzan, Ana L.C.

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Agent‐Based Modeling and Simulation von Klügl, Franziska, Bazzan, Ana L. C.

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Experience classification for transfer learning in traffic signal control von Norouzi, Mojtaba, Abdoos, Monireh, Bazzan, Ana L. C.

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Analysing the impact of travel information for minimising the regret of route choice von Ramos, Gabriel de O., Bazzan, Ana L.C., da Silva, Bruno C.

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Combining adaptation at supply and demand levels in microscopic traffic simulation: a multiagent learning approach von Lemos, Liza L., Bazzan, Ana L.C.

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Reinforcement learning in urban network traffic signal control: A systematic literature review von Noaeen, Mohammad, Naik, Atharva, Goodman, Liana, Crebo, Jared, Abrar, Taimoor, Abad, Zahra Shakeri Hossein, Bazzan, Ana L.C., Far, Behrouz

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Hierarchical traffic signal optimization using reinforcement learning and traffic prediction with long-short term memory von Abdoos, Monireh, Bazzan, Ana L.C.

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Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework von Xiong, Yanhai, Gan, Jiarui, An, Bo, Miao, Chunyan, Bazzan, Ana L. C.

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A review on agent-based technology for traffic and transportation von Bazzan, Ana L. C., Klügl, Franziska

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Opportunities for multiagent systems and multiagent reinforcement learning in traffic control von Bazzan, Ana L. C.

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Using Reinforcement Learning to Control Traffic Signals in a Real-World Scenario: An Approach Based on Linear Function Approximation von Alegre, Lucas N., Ziemke, Theresa, Bazzan, Ana L. C.

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Holonic multi-agent system for traffic signals control von Abdoos, Monireh, Mozayani, Nasser, Bazzan, Ana L.C.

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Agents in Traffic and Transportation (ATT 2022): Revised and Extended Papers von Bazzan, Ana L.C., Dusparic, Ivana, Lujak, Marin, Vizzari, Giuseppe

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A comparative evaluation of aggregation methods for machine learning over vertically partitioned data von Trevizan, Bernardo, Chamby-Diaz, Jorge, Bazzan, Ana L.C., Recamonde-Mendoza, Mariana

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How to achieve fair and efficient cooperative vehicle routing? von López Sánchez, Aitor, Lujak, Marin, Semet, Frederic, Billhardt, Holger

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Transferring experiences in k-nearest neighbors based multiagent reinforcement learning: an application to traffic signal control von Bazzan, Ana Lucia C., de Almeida, Vicente N., Abdoos, Monireh

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Solving task allocation problem in multi Unmanned Aerial Vehicles systems using Swarm intelligence von Schwarzrock, Janaína, Zacarias, Iulisloi, Bazzan, Ana L.C., de Araujo Fernandes, Ricardo Queiroz, Moreira, Leonardo Henrique, de Freitas, Edison Pignaton

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Multi-agent reinforcement learning for safe lane changes by connected and autonomous vehicles: A survey von Hegde, Bharathkumar, Bouroche, Mélanie

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