Lucas Nunes Alegre

According to our database, Lucas Nunes Alegre authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning.

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

CoRR, 2024

Knowledge transfer in multi-objective multi-agent reinforcement learning via generalized policy improvement.

Vicente Nejar de Almeida, Lucas N. Alegre, Ana L. C. Bazzan

Comput. Sci. Inf. Syst., 2024

2023

A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning.

Florian Felten, Lucas N. Alegre, Ann Nowé, Ana L. C. Bazzan, El-Ghazali Talbi, Grégoire Danoy, Bruno C. da Silva

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Step Generalized Policy Improvement by Leveraging Approximate Models.

Lucas Nunes Alegre, Ana L. C. Bazzan, Ann Nowé, Bruno C. da Silva

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization.

Lucas Nunes Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé, Bruno C. da Silva

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Towards Sample-Efficient Multi-Objective Reinforcement Learning.

Lucas Nunes Alegre

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Using Reinforcement Learning to Control Traffic Signals in a Real-World Scenario: An Approach Based on Linear Function Approximation.

Lucas Nunes Alegre, Theresa Ziemke, Ana L. C. Bazzan

IEEE Trans. Intell. Transp. Syst., 2022

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

Proceedings of the International Joint Conference on Neural Networks, 2022

Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer.

Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva

Proceedings of the International Conference on Machine Learning, 2022

2021

Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control.

Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva

PeerJ Comput. Sci., 2021

Reinforcement learning vs. rule-based adaptive traffic signal control: A Fourier basis linear function approximation for traffic signal control.

Theresa Ziemke, Lucas Nunes Alegre, Ana L. C. Bazzan

AI Commun., 2021

Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection.

Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

SelfieArt: Interactive Multi-Style Transfer for Selfies and Videos with Soft Transitions.

Lucas Nunes Alegre, Manuel M. Oliveira

Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020

A Reinforcement Learning Approach with Fourier Basis Linear Function Approximation for Traffic Signal Control.

Theresa Ziemke, Lucas Nunes Alegre, Ana L. C. Bazzan

Proceedings of the Eleventh International Workshop on Agents in Traffic and Transportation co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

2019

Parameterized Melody Generation with Autoencoders and Temporally-Consistent Noise.

Aline Weber, Lucas Nunes Alegre, Jim Tørresen, Bruno C. da Silva

Proceedings of the 19th International Conference on New Interfaces for Musical Expression, 2019