Ana L. C. Bazzan

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 88

Top Venues

Universität Karlsruhe (PHD)

Education History

Universität Karlsruhe

PHD

Publications

Vicente Nejar de Almeida, Lucas N. Alegre, Ana L. C. Bazzan
Knowledge transfer in multi-objective multi-agent reinforcement learning via generalized policy improvement. Comput. Sci. Inf. Syst. 21 (1) (2024)
Marin Lujak, Ana L. C. Bazzan, Ivana Dusparic, Giuseppe Vizzari
Guest editorial: Role of agents in traffic and transportation. Comput. Sci. Inf. Syst. 21 (1) (2024)
Henrique U. Gobbi, Guilherme Dytz dos Santos, Ana L. C. Bazzan
Comparing reinforcement learning algorithms for a trip building task: A multi-objective approach using non-local information. Comput. Sci. Inf. Syst. 21 (1) (2024)
Lucas Nunes Alegre, Ana L. C. Bazzan, Ann Nowé, Bruno C. da Silva
Multi-Step Generalized Policy Improvement by Leveraging Approximate Models. NeurIPS (2023)
Florian Felten, Lucas N. Alegre, Ann Nowé, Ana L. C. Bazzan, El-Ghazali Talbi, Grégoire Danoy, Bruno C. da Silva
A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning. NeurIPS (2023)
Lucas Nunes Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé, Bruno C. da Silva
Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization. CoRR (2023)
Ana L. C. Bazzan, Anderson R. Tavares, André G. Pereira, Cláudio R. Jung, Jacob Scharcanski, Joel Luis Carbonera, Luís C. Lamb, Mariana Recamonde Mendoza, Thiago L. T. da Silveira, Viviane P. Moreira
"A Nova Eletricidade: Aplicações, Riscos e Tendências da IA Moderna - "The New Electricity": Applications, Risks, and Trends in Current AI. CoRR (2023)
Lucas Nunes Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé, Bruno C. da Silva
Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization. AAMAS (2023)
Di Mei, I-An Huang, Anita Raja, Mohammad Rashedul Hasan, Ana L. C. Bazzan
Traffic optimization using a coordinated route updating mechanism. J. Intell. Transp. Syst. 27 (5) (2023)
Jorge C. Chamby-Diaz, Rhuam Sena Estevam, Ana L. C. Bazzan
Identifying traffic conditions from non-traffic related sources. J. Intell. Transp. Syst. 26 (1) (2022)
Mohammad Noaeen, Atharva Naik, Liana Goodman, Jared Crebo, Taimoor Abrar, Zahra Shakeri Hossein Abad, Ana L. C. Bazzan, Behrouz H. Far
Reinforcement learning in urban network traffic signal control: A systematic literature review. Expert Syst. Appl. 199 (2022)
Ana L. C. Bazzan
Improving Urban Mobility: using artificial intelligence and new technologies to connect supply and demand. CoRR (2022)
Vicente Nejar de Almeida, Ana L. C. Bazzan, Monireh Abdoos
Multiagent Reinforcement Learning for Traffic Signal Control: a k-Nearest Neighbors Based Approach. ATT@IJCAI (2022)
Lucas Nunes Alegre, Theresa Ziemke, Ana L. C. Bazzan
Using Reinforcement Learning to Control Traffic Signals in a Real-World Scenario: An Approach Based on Linear Function Approximation. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer. CoRR (2022)
Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer. ICML (2022)
Lincoln Vinicius Schreiber, Lucas Nunes Alegre, Ana L. C. Bazzan, Gabriel de Oliveira Ramos
On the Explainability and Expressiveness of Function Approximation Methods in RL-Based Traffic Signal Control. IJCNN (2022)
Guilherme Dytz dos Santos, Ana L. C. Bazzan
A Multiobjective Reinforcement Learning Approach to Trip Building. ATT@IJCAI (2022)
Taylor de O. Antes, Ana L. C. Bazzan, Anderson Rocha Tavares
Information upwards, recommendation downwards: reinforcement learning with hierarchy for traffic signal control. ANT/EDI40 (2022)
João V. B. Labres, Ana L. C. Bazzan, Monireh Abdoos
Improving Traffic Signal Control With Joint-Action Reinforcement Learning. SSCI (2021)
Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control. PeerJ Comput. Sci. 7 (2021)
Guilherme Dytz dos Santos, Ana L. C. Bazzan
Sharing diverse information gets driver agents to learn faster: an application in en route trip building. PeerJ Comput. Sci. 7 (2021)
Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection. CoRR (2021)
Theresa Ziemke, Lucas Nunes Alegre, Ana L. C. Bazzan
Reinforcement learning vs. rule-based adaptive traffic signal control: A Fourier basis linear function approximation for traffic signal control. AI Commun. 34 (1) (2021)
Guilherme Dytz dos Santos, Ana L. C. Bazzan, Arthur Prochnow Baumgardt
Using Car to Infrastructure Communication to Accelerate Learning in Route Choice. J. Inf. Data Manag. 12 (1) (2021)
Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection. AAMAS (2021)
Mojtaba Norouzi, Monireh Abdoos, Ana L. C. Bazzan
Experience classification for transfer learning in traffic signal control. J. Supercomput. 77 (1) (2021)
Monireh Abdoos, Ana L. C. Bazzan
Hierarchical traffic signal optimization using reinforcement learning and traffic prediction with long-short term memory. Expert Syst. Appl. 171 (2021)
Theresa Ziemke, Lucas Nunes Alegre, Ana L. C. Bazzan
A Reinforcement Learning Approach with Fourier Basis Linear Function Approximation for Traffic Signal Control. ATT@ECAI (2020)
Sandra D. Prado, Silvio R. Dahmen, Ana L. C. Bazzan, M. Maccarron, J. Hillner
Gendered Networks and Communicability in Medieval Historical Narratives. Adv. Complex Syst. 23 (3) (2020)
Bernardo Trevizan, Jorge C. Chamby-Diaz, Ana L. C. Bazzan, Mariana Recamonde Mendoza
A comparative evaluation of aggregation methods for machine learning over vertically partitioned data. Expert Syst. Appl. 152 (2020)
Gabriel de Oliveira Ramos, Bruno C. da Silva, Roxana Radulescu, Ana L. C. Bazzan, Ann Nowé
Toll-based reinforcement learning for efficient equilibria in route choice. Knowl. Eng. Rev. 35 (2020)
Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
Quantifying the Impact of Non-Stationarity in Reinforcement Learning-Based Traffic Signal Control. CoRR (2020)
Eduardo C. Paim, Ana L. C. Bazzan, Camelia Chira
Detecting Communities in Networks: a Decentralized Approach Based on Multiagent Reinforcement Learning. SSCI (2020)
Camil S. Z. Redwan, Ana L. C. Bazzan
How Hard is for Agents to Learn the User equilibrium? Characterizing Traffic Networks by means of Entropy. Adv. Complex Syst. 23 (4) (2020)
Fernando dos Santos, Ingrid Nunes, Ana L. C. Bazzan
Quantitatively assessing the benefits of model-driven development in agent-based modeling and simulation. Simul. Model. Pract. Theory 104 (2020)
Ana L. C. Bazzan
I will be there for you: clique, character centrality, and community detection in Friends. Comput. Appl. Math. 39 (3) (2020)
Fernando dos Santos, Ingrid Nunes, Ana L. C. Bazzan
Quantitatively Assessing the Benefits of Model-driven Development in Agent-based Modeling and Simulation. CoRR (2020)
Ana L. C. Bazzan, Franziska Klügl
Experience Sharing in a Traffic Scenario. ATT@ECAI (2020)
Vadim Levit, Zohar Komarovsky, Tal Grinshpoun, Ana L. C. Bazzan, Amnon Meisels
Incentive-based search for equilibria in boolean games. Constraints An Int. J. 24 (3-4) (2019)
Mohammad Rashedul Hasan, Anita Raja, Ana L. C. Bazzan
A context-aware convention formation framework for large-scale networks. Auton. Agents Multi Agent Syst. 33 (1-2) (2019)
Ana L. C. Bazzan, Jorge Cristhian Chamby-Diaz, Rhuam Sena Estevam, Leonardo de Abreu Schmidt, Marcia Pasin, J. L. A. Samatelo, M. V. L. Ribeiro
Using Information from Heterogeneous Sources and Machine Learning in Intelligent Transportation Systems. ICCP (2019)
Ana L. C. Bazzan
Aligning individual and collective welfare in complex socio-technical systems by combining metaheuristics and reinforcement learning. Eng. Appl. Artif. Intell. 79 (2019)
Jorge Cristhian Chamby-Diaz, Ana L. C. Bazzan
Identifying Traffic Event Types from Twitter by Multi-Label Classification. BRACIS (2019)
Mohammad Rashedul Hasan, Anita Raja, Ana L. C. Bazzan
A Context-aware Convention Formation Framework for Large-Scale Networks. AAMAS (2019)
Ricardo Grunitzki, Bruno Castro da Silva, Ana L. C. Bazzan
Towards Designing Optimal Reward Functions in Multi-Agent Reinforcement Learning Problems. IJCNN (2018)
Janaina Schwarzrock, Iulisloi Zacarias, Ana L. C. Bazzan, Ricardo Queiroz de Araujo Fernandes, Leonardo Henrique Moreira, Edison Pignaton de Freitas
Solving task allocation problem in multi Unmanned Aerial Vehicles systems using Swarm intelligence. Eng. Appl. Artif. Intell. 72 (2018)
Thiago B. F. de Oliveira, Ana L. C. Bazzan, Bruno C. da Silva, Ricardo Grunitzki
Comparing Multi-Armed Bandit Algorithms and Q-learning for Multiagent Action Selection: a Case Study in Route Choice. IJCNN (2018)
Yanhai Xiong, Jiarui Gan, Bo An, Chunyan Miao, Ana L. C. Bazzan
Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework. IEEE Trans. Intell. Transp. Syst. 19 (8) (2018)
Fernando dos Santos, Ingrid Nunes, Ana L. C. Bazzan
Model-driven agent-based simulation development: A modeling language and empirical evaluation in the adaptive traffic signal control domain. Simul. Model. Pract. Theory 83 (2018)
Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang
Tutorials at PPSN 2018. PPSN (2) (2018)
Jorge C. Chamby-Diaz, Mariana Recamonde Mendoza, Ana L. C. Bazzan, Ricardo Grunitzki
Adaptive Incremental Gaussian Mixture Network for Non-Stationary Data Stream Classification. IJCNN (2018)
Ana L. C. Bazzan
Accelerating the Computation of Solutions in Resource Allocation Problems Using an Evolutionary Approach and Multiagent Reinforcement Learning. EvoApplications (2018)
Liza Lunardi Lemos, Ana L. C. Bazzan, Marcia Pasin
Co-Adaptive Reinforcement Learning in Microscopic Traffic Systems. CEC (2018)
Ana L. C. Bazzan
I will be there for you: six friends in a clique. CoRR (2018)
Ricardo Grunitzki, Ana L. C. Bazzan
Comparing Two Multiagent Reinforcement Learning Approaches for the Traffic Assignment Problem. BRACIS (2017)
Matheus Alves, Ana L. C. Bazzan, Mariana Recamonde Mendoza
Social-Training: Ensemble Learning with Voting Aggregation for Semi-supervised Classification Tasks. BRACIS (2017)
Andrew Koster, Ana L. C. Bazzan, Marcelo de Souza
Liar liar, pants on fire; or how to use subjective logic and argumentation to evaluate information from untrustworthy sources. Artif. Intell. Rev. 48 (2) (2017)
Fernando dos Santos, Ingrid Nunes, Ana L. C. Bazzan
Model-Driven Engineering in Agent-based Modeling and Simulation: a Case Study in the Traffic Signal Control Domain. AAMAS (2017)
Gabriel de Oliveira Ramos, Bruno Castro da Silva, Ana L. C. Bazzan
Learning to Minimise Regret in Route Choice. AAMAS (2017)
Ricardo Grunitzki, Bruno Castro da Silva, Ana L. C. Bazzan
A Flexible Approach for Designing Optimal Reward Functions. AAMAS (2017)
Ana L. C. Bazzan
Multiagent systems and agent-based modeling and simulation. GECCO (Companion) (2017)
Fernando dos Santos, Ingrid Nunes, Ana L. C. Bazzan
Supporting the Development of Agent-Based Simulations: A DSL for Environment Modeling. COMPSAC (1) (2017)
Silvio R. Dahmen, Ana L. C. Bazzan, R. Gramsch
Community Detection in the Network of German Princes in 1225: a Case Study. CoRR (2017)
Deividi Moreira, Fernando dos Santos, Matheus Barbieri, Ingrid Nunes, Ana L. C. Bazzan
ABStractme: Modularized Environment Modeling in Agent-based Simulations. AAMAS (2017)
Ana L. C. Bazzan
Synergies between evolutionary computation and multiagent reinforcement learning: the benefits of exchanging solutions. GECCO (Companion) (2017)
João Guilherme Faccin, Ingrid Nunes, Ana L. C. Bazzan
Understanding the Behaviour of Learning-Based BDI Agents in the Braess' Paradox. MATES (2017)
Ana L. C. Bazzan
Trying to Fix Traffic: Past, Present, and Some Future Trends. AAMAS (2017)
Ana L. C. Bazzan, Ricardo Grunitzki
A multiagent reinforcement learning approach to en-route trip building. IJCNN (2016)
Marcelo de Souza, Marcus Ritt, Ana L. C. Bazzan
A bi-objective method of traffic assignment for electric vehicles. ITSC (2016)
Gabriel de Oliveira Ramos, Ana L. C. Bazzan
Efficient local search in traffic assignment. CEC (2016)
Sandra D. Prado, Silvio R. Dahmen, Ana L. C. Bazzan, Pádraig Mac Carron, Ralph Kenna
Temporal Network Analysis of Literary Texts. CoRR (2016)
Sandra D. Prado, Silvio R. Dahmen, Ana L. C. Bazzan, Pádraig Mac Carron, Ralph Kenna
Temporal Network Analysis of Literary Texts. Adv. Complex Syst. 19 (3) (2016)
Gabriel de Oliveira Ramos, Ana L. C. Bazzan
On Estimating Action Regret and Learning From It in Route Choice. ATT@IJCAI (2016)
Fernando Stefanello, Bruno Castro da Silva, Ana L. C. Bazzan
Using Topological Statistics to Bias and Accelerate Route Choice: Preliminary Findings in Synthetic and Real-World Road Networks. ATT@IJCAI (2016)
Mohammad Rashedul Hasan, Ana L. C. Bazzan, Eliyahu Friedman, Anita Raja
A multiagent solution to overcome selfish routing in transportation networks. ITSC (2016)
Ricardo Grunitzki, Ana L. C. Bazzan
Combining Car-to-Infrastructure Communication and Multi-Agent Reinforcement Learning in Route Choice. ATT@IJCAI (2016)
Mariana Recamonde Mendoza, Ana L. C. Bazzan
Social choice in distributed classification tasks: Dealing with vertically partitioned data. Inf. Sci. 332 (2016)
Niels A. H. Agatz, Ana L. C. Bazzan, Ronny J. Kutadinata, Dirk Christian Mattfeld, Monika Sester, Stephan Winter, Ouri Wolfson
Autonomous car and ride sharing: flexible road trains: (vision paper). SIGSPATIAL/GIS (2016)
Gabriel de Oliveira Ramos, Juan C. Burguillo, Ana L. C. Bazzan
A self-adapting similarity-based coalition formation approach for plug-in electric vehicles in smart grids. Multiagent Grid Syst. 11 (3) (2015)
Monireh Abdoos, Nasser Mozayani, Ana L. C. Bazzan
Towards reinforcement learning for holonic multi-agent systems. Intell. Data Anal. 19 (2) (2015)
Ana L. C. Bazzan, Camelia Chira
A Hybrid Evolutionary and Multiagent Reinforcement Learning Approach to Accelerate the Computation of Traffic Assignment: (Extended Abstract). AAMAS (2015)
Mohammad Rashedul Hasan, Anita Raja, Ana L. C. Bazzan
Fast Convention Formation in Dynamic Networks Using Topological Knowledge. AAAI (2015)
Camelia Chira, Ana L. C. Bazzan
Route assignment using multi-objective evolutionary search. ICCP (2015)
Ana L. C. Bazzan, Gabriel de Oliveira Ramos
Forming Coalitions of Electric Vehicles in Constrained Scenarios. PAAMS (Workshops) (2015)
Camelia Chira, Ana L. C. Bazzan, Rosaldo J. F. Rossetti
Multi-objective Evolutionary Traffic Assignment. ITSC (2015)
Daniel Cagara, Björn Scheuermann, Ana L. C. Bazzan
Traffic optimization on Islands. VNC (2015)
Yanhai Xiong, Jiarui Gan, Bo An, Chunyan Miao, Ana L. C. Bazzan
Optimal Electric Vehicle Charging Station Placement. IJCAI (2015)
Daniel Cagara, Ana L. C. Bazzan, Björn Scheuermann
Getting you faster to work: a genetic algorithm approach to the traffic assignment problem. GECCO (Companion) (2014)
Ana L. C. Bazzan, Franziska Klügl
A review on agent-based technology for traffic and transportation. Knowl. Eng. Rev. 29 (3) (2014)
Francisco C. Pereira, Ana L. C. Bazzan, Moshe E. Ben-Akiva
The Role of Context in Transport Prediction. IEEE Intell. Syst. 29 (1) (2014)
Ana L. C. Bazzan, Silvio R. Dahmen
Evolving the topology of subway networks using genetic algorithms. CIVTS (2014)
Anderson Rocha Tavares, Ana L. C. Bazzan
An agent-based approach for road pricing: system-level performance and implications for drivers. J. Braz. Comput. Soc. 20 (1) (2014)
Monireh Abdoos, Nasser Mozayani, Ana L. C. Bazzan
Hierarchical control of traffic signals using Q-learning with tile coding. Appl. Intell. 40 (2) (2014)
Ana L. C. Bazzan
Beyond Reinforcement Learning and Local View in Multiagent Systems. Künstliche Intell. 28 (3) (2014)
Ana L. C. Bazzan, Daniel Cagara, Björn Scheuermann
An evolutionary approach to traffic assignment. CIVTS (2014)
Jorge L. Aching S., Thiago B. F. de Oliveira, Ana L. C. Bazzan
Traffic information extraction from a blogging platform using knowledge-based approaches and bootstrapping. CIVTS (2014)
Gabriel de Oliveira Ramos, Juan C. Burguillo, Ana L. C. Bazzan
Dynamic constrained coalition formation among electric vehicles. J. Braz. Comput. Soc. 20 (1) (2014)
Zafeiris Kokkinogenis, Nuno Monteiro, Rosaldo J. F. Rossetti, Ana L. C. Bazzan, Pedro J. R. M. Campos
Policy and incentive designs evaluation: A social-oriented framework for Artificial Transportation Systems. ITSC (2014)
Ana L. C. Bazzan
Paying the Price of Learning Independently in Route Choice. EPIA (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ana L. C. Bazzan