| SUMO-RL LN Alegre GitHub repository, 2019 | 30 | 2019 |
| Optimistic linear support and successor features as a basis for optimal policy transfer LN Alegre, A Bazzan, BC Da Silva International Conference on Machine Learning, 394-413, 2022 | 29 | 2022 |
| Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection LN Alegre, ALC Bazzan, da Silva, B C. Proceedings of the 20th International Conference on Autonomous Agents and …, 2021 | 21 | 2021 |
| MO-Gym: A Library of Multi-Objective Reinforcement Learning Environments LN Alegre, F Felten, EG Talbi, G Danoy, A Nowé, ALC Bazzan, ... 34th Benelux Conference on Artificial Intelligence BNAIC/Benelearn 2022, 2022 | 20 | 2022 |
| Using reinforcement learning to control traffic signals in a real-world scenario: an approach based on linear function approximation LN Alegre, T Ziemke, ALC Bazzan IEEE Transactions on Intelligent Transportation Systems 23 (7), 9126-9135, 2021 | 20 | 2021 |
| Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization LN Alegre, ALC Bazzan, DM Roijers, A Nowé, BC da Silva AAMAS '23: Proceedings of the 2023 International Conference on Autonomous …, 2023 | 12 | 2023 |
| Quantifying the Impact of Non-Stationarity in Reinforcement Learning-Based Traffic Signal Control LN Alegre, ALC Bazzan, BC da Silva PeerJ Computer Science, 2021 | 10 | 2021 |
| A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning F Felten, LN Alegre, A Nowé, ALC Bazzan, EG Talbi, G Danoy, ... Proceedings of the Thirty-seventh Conference on Neural Information …, 2023 | 9 | 2023 |
| Parameterized melody generation with autoencoders and temporally-consistent noise A Weber, LN Alegre, J Tørresen, B Castro da Silva Proceedings of the International Conference on New Interfaces for Musical …, 2019 | 7 | 2019 |
| Reinforcement learning vs. rule-based adaptive traffic signal control: A Fourier basis linear function approximation for traffic signal control T Ziemke, LN Alegre, ALC Bazzan AI Communications, 1-15, 2021 | 5 | 2021 |
| On the Explainability and Expressiveness of Function Approximation Methods in RL-Based Traffic Signal Control LV Schreiber, LN Alegre, ALC Bazzan, G de O. Ramos 2022 International Joint Conference on Neural Networks (IJCNN), 2022 | 2 | 2022 |
| Selfieart: Interactive multi-style transfer for selfies and videos with soft transitions LN Alegre, MM Oliveira 2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 17-22, 2020 | 2 | 2020 |
| Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning S Huang, Q Gallouédec, F Felten, A Raffin, RFJ Dossa, Y Zhao, ... arXiv preprint arXiv:2402.03046, 2024 | 1 | 2024 |
| A reinforcement learning approach with Fourier basis linear function approximation for traffic signal control T Ziemke, LN Alegre, ALC Bazzan Eleventh International Workshop on Agents in Traffic and Transportation co …, 2020 | 1 | 2020 |
| Multi-Step Generalized Policy Improvement by Leveraging Approximate Models LN Alegre, ALC Bazzan, A Nowé, BC da Silva Proceedings of the Thirty-seventh Conference on Neural Information …, 2023 | | 2023 |
| Towards Sample-Efficient Multi-Objective Reinforcement Learning. LN Alegre AAMAS, 2970-2972, 2023 | | 2023 |
| Knowledge transfer in multi-objective multi-agent reinforcement learning via generalized policy improvement VN de Almeida, LN Alegre, ALC Bazzan Computer Science and Information Systems, 71-71, 2023 | | 2023 |
| RouteChoiceEnv: a Route Choice Library for Multiagent Reinforcement Learning LA Thomasini, LN Alegre, GO Ramos, ALC Bazzan Adaptive and Learning Agents (ALA) Workshop at AAMAS, 2023 | | 2023 |
Ana BazzanUFRGSVerified email at inf.ufrgs.br
