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ORCIDLucas Nunes Alegre
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Journal Articles
- 2024
[j4]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): 335-362 (2024)- 2022
- [j3]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): 9126-9135 (2022) - 2021
- [j2]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): 89-103 (2021) - [j1]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: e575 (2021)
Conference and Workshop Papers
- 2023
- [c10]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: 2003-2012 - [c9]Lucas Nunes Alegre:
Towards Sample-Efficient Multi-Objective Reinforcement Learning. AAMAS 2023: 2970-2972 - [c8]Lucas Nunes Alegre, Ana L. C. Bazzan, Ann Nowé, Bruno C. da Silva:
Multi-Step Generalized Policy Improvement by Leveraging Approximate Models. NeurIPS 2023 - [c7]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 - 2022
- [c6]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: 394-413 - [c5]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: 1-8 - 2021
- [c4]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: 97-105 - 2020
- [c3]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: 55-62 - [c2]Lucas Nunes Alegre, Manuel M. Oliveira:
SelfieArt: Interactive Multi-Style Transfer for Selfies and Videos with Soft Transitions. SIBGRAPI 2020: 17-22 - 2019
- [c1]Aline Weber, Lucas Nunes Alegre, Jim Tørresen, Bruno C. da Silva:
Parameterized Melody Generation with Autoencoders and Temporally-Consistent Noise. NIME 2019: 174-179
Informal and Other Publications
- 2024
- [i5]Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad H. Danesh, Cyril Roumégous, Jiayi Weng, Chufan Chen, Md Masudur Rahman, João G. M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, Arjun KG, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi, Brent Yi:
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning. CoRR abs/2402.03046 (2024) - 2023
- [i4]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 abs/2301.07784 (2023) - 2022
- [i3]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 abs/2206.11326 (2022) - 2021
- [i2]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 abs/2105.09452 (2021) - 2020
- [i1]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 abs/2004.04778 (2020)
Coauthor Index
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