| 2022 | ANT | Information upwards, recommendation downwards: reinforcement learning with hierarchy for traffic signal control. | Taylor de O. Antes, Ana L. C. Bazzan, Anderson Rocha Tavares |
| 2022 | ICML | Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer. | Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva |
| 2022 | IJCAI | Multiagent Reinforcement Learning for Traffic Signal Control: a k-Nearest Neighbors Based Approach. | Vicente Nejar de Almeida, Ana L. C. Bazzan, Monireh Abdoos |
| 2022 | IJCAI | A Multiobjective Reinforcement Learning Approach to Trip Building. | Guilherme Dytz dos Santos, Ana L. C. Bazzan |
| 2022 | IJCNN | On the Explainability and Expressiveness of Function Approximation Methods in RL-Based Traffic Signal Control. | Lincoln Vinicius Schreiber, Lucas Nunes Alegre, Ana L. C. Bazzan, Gabriel de Oliveira Ramos |
| 2020 | ECAI | Experience Sharing in a Traffic Scenario. | Ana L. C. Bazzan, Franziska Klgl |
| 2020 | ECAI | A Reinforcement Learning Approach with Fourier Basis Linear Function Approximation for Traffic Signal Control. | Theresa Ziemke, Lucas Nunes Alegre, Ana L. C. Bazzan |
| 2018 | CEC | Co-Adaptive Reinforcement Learning in Microscopic Traffic Systems. | Liza Lunardi Lemos, Ana L. C. Bazzan, Marcia Pasin |
| 2018 | IJCNN | Adaptive Incremental Gaussian Mixture Network for Non-Stationary Data Stream Classification. | Jorge C. Chamby-Diaz, Mariana Recamonde Mendoza, Ana L. C. Bazzan, Ricardo Grunitzki |
| 2018 | IJCNN | Towards Designing Optimal Reward Functions in Multi-Agent Reinforcement Learning Problems. | Ricardo Grunitzki, Bruno Castro da Silva, Ana L. C. Bazzan |
| 2018 | IJCNN | Comparing Multi-Armed Bandit Algorithms and Q-learning for Multiagent Action Selection: a Case Study in Route Choice. | Thiago Bell Felix de Oliveira, Ana L. C. Bazzan, Bruno C. da Silva, Ricardo Grunitzki |
| 2018 | PPSN | Tutorials at PPSN 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 Mart, Yi Mei, Juan Julin Merelo Guervs, 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 |
| 2017 | COMPSAC | Supporting the Development of Agent-Based Simulations: A DSL for Environment Modeling. | Fernando dos Santos, Ingrid Nunes, Ana L. C. Bazzan |
| 2017 | GECCO | Synergies between evolutionary computation and multiagent reinforcement learning: the benefits of exchanging solutions. | Ana L. C. Bazzan |
| 2017 | GECCO | Multiagent systems and agent-based modeling and simulation. | Ana L. C. Bazzan |
| 2016 | CEC | Efficient local search in traffic assignment. | Gabriel de Oliveira Ramos, Ana L. C. Bazzan |
| 2016 | IJCAI | Combining Car-to-Infrastructure Communication and Multi-Agent Reinforcement Learning in Route Choice. | Ricardo Grunitzki, Ana L. C. Bazzan |
| 2016 | IJCAI | On Estimating Action Regret and Learning From It in Route Choice. | Gabriel de Oliveira Ramos, Ana L. C. Bazzan |
| 2016 | IJCAI | Using Topological Statistics to Bias and Accelerate Route Choice: Preliminary Findings in Synthetic and Real-World Road Networks. | Fernando Stefanello, Bruno Castro da Silva, Ana L. C. Bazzan |
| 2016 | IJCNN | A multiagent reinforcement learning approach to en-route trip building. | Ana L. C. Bazzan, Ricardo Grunitzki |
| 2015 | AAAI | Fast Convention Formation in Dynamic Networks Using Topological Knowledge. | Mohammad Rashedul Hasan, Anita Raja, Ana L. C. Bazzan |
| 2015 | IJCAI | Optimal Electric Vehicle Charging Station Placement. | Yanhai Xiong, Jiarui Gan, Bo An, Chunyan Miao, Ana L. C. Bazzan |
| 2015 | PAAMS | Forming Coalitions of Electric Vehicles in Constrained Scenarios. | Ana L. C. Bazzan, Gabriel de Oliveira Ramos |
| 2014 | GECCO | Getting you faster to work: a genetic algorithm approach to the traffic assignment problem. | Daniel Cagara, Ana L. C. Bazzan, Bjrn Scheuermann |
| 2013 | EPIA | Paying the Price of Learning Independently in Route Choice. | Ana L. C. Bazzan |
| 2013 | EPIA | Distributed Coalition Structure Generation with Positive and Negative Externalities. | Daniel Epstein, Ana L. C. Bazzan |
| 2012 | AAMAS | Agent-based simulation of mobility in real-world transportation networks: effects of acquiring information and replanning en-route. | Maicon de Brito do Amarante, Ana L. C. Bazzan |
| 2012 | AAMAS | Combining independent and joint learning: a negotiation based approach. | Reinaldo A. C. Bianchi, Ana L. C. Bazzan |
| 2012 | AAMAS | Break with agents who listen to too many others (at least when making Boolean decisions!). | Daniel Epstein, Ana L. C. Bazzan, Andr M. Machado |
| 2012 | GECCO | Co-evolution of the dynamics in population games: the case of traffic flow assignment. | Ana L. C. Bazzan |
| 2012 | IJCNN | Coordinating many agents in stochastic games. | Ana L. C. Bazzan |
| 2011 | ECMS | Extending Traffic Simulation Based On Cellular Automata: From ParticlesTo Autonomous Agents. | Ana L. C. Bazzan, Maicon de Brito do Amarante, Guilherme G. Azzi, Alexander J. Benavides, Luciana S. Buriol, Leonardo F. S. Moura, Marcus Ritt, Tiago Sommer |
| 2011 | ECMS | Decision-Making Using Random Boolean Networks In The El Farol Bar Problem. | Daniel Epstein, Ana L. C. Bazzan |
| 2011 | ICAART | Dealing with Coalition Formation in the RoboCup Rescue - An Heuristic Approach. | Daniel Epstein, Ana L. C. Bazzan |
| 2010 | FlAIRS | Assumption-Based Reasoning for Multiagent Case-Based Recommender Systems. | Fabiana Lorenzi, Francesco Ricci, Mara Abel, Ana L. C. Bazzan |
| 2010 | ICTAI | Action Selection and Sequencing in Multiagent Systems: An Approximate Algorithm Based on Swarm Intelligence. | Paulo Roberto Ferreira Jr., Ana L. C. Bazzan |
| 2009 | GECCO | An ant based algorithm for task allocation in large-scale and dynamic multiagent scenarios. | Fernando dos Santos, Ana L. C. Bazzan |
| 2008 | SAC | Emerging cooperation in a public goods game with competition. | Ana L. C. Bazzan, Roberto da Silva, Silvio R. Dahmen, Alexandre Tavares Baraviera |
| 2008 | SAC | Special track on Advances in Computer Simulation (ACS): editorial message. | Ana L. C. Bazzan, Giuseppe Vizzari |
| 2007 | AAAI | Recommending Travel Packages Upon Distributed Knowledge. | Fabiana Lorenzi, Ana L. C. Bazzan, Mara Abel |
| 2007 | AAMAS | To Adapt or Not to Adapt - Consequences of Adapting Driver and Traffic Light Agents. | Ana L. C. Bazzan, Denise de Oliveira, Franziska Klgl, Kai Nagel |
| 2007 | EPIA | Adaptation in Games with Many Co-evolving Agents. | Ana L. C. Bazzan, Franziska Klgl, Kai Nagel |
| 2006 | AAAI | RL-CD: Dealing with Non-Stationarity in Reinforcement Learning. | Bruno Castro da Silva, Eduardo W. Basso, Ana L. C. Bazzan, Paulo Martins Engel |
| 2006 | EUMAS | Reinforcement Learning based Control of Traffic Lights in Non-stationary Environments: A Case Study in a Microscopic Simulator. | Denise de Oliveira, Ana L. C. Bazzan, Bruno Castro da Silva, Eduardo W. Basso, Lus Nunes |
| 2006 | ICML | Dealing with non-stationary environments using context detection. | Bruno Castro da Silva, Eduardo W. Basso, Ana L. C. Bazzan, Paulo Martins Engel |
| 2002 | ECCB | Automated annotation of keywords for proteins related to mycoplasmataceae using machine learning techniques. | Ana L. C. Bazzan, Paulo Martins Engel, Luciana F. Schroeder, Srgio C. da Silva |
| 1999 | KI | Agents in Traffic Modelling - From Reactive to Social Behaviour. | Ana L. C. Bazzan, Joachim Wahle, Franziska Klgl |
| 1996 | ECAI | Evolution of Coordination as a Metaphor for Learning in Multi-Agent Systems. | Ana L. C. Bazzan |