Matheus Aparecido do Carmo Alves

According to our database, Matheus Aparecido do Carmo Alves authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

Incentive-Driven Multi-agent Reinforcement Learning Approach for Commons Dilemmas in Land-Use.

Lukasz Pelcner, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Paula A. Harrison, Peter M. Atkinson

Proceedings of the PRIMA 2024: Principles and Practice of Multi-Agent Systems, 2024

Incentive-based MARL Approach for Commons Dilemmas in Property-based Environments.

Lukasz Pelcner, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Paula A. Harrison, Peter M. Atkinson

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

It Is Among Us: Identifying Adversaries in Ad-hoc Domains using Q-valued Bayesian Estimations.

Matheus Aparecido do Carmo Alves, Amokh Varma, Yehia Elkhatib, Leandro Soriano Marcolino

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Information-guided Planning: An Online Approach for Partially Observable Problems.

Matheus Aparecido do Carmo Alves, Amokh Varma, Yehia Elkhatib, Leandro Soriano Marcolino

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

2022

On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork.

Elnaz Shafipour Yourdshahi, Matheus Aparecido do Carmo Alves, Amokh Varma, Leandro Soriano Marcolino, Jó Ueyama, Plamen Angelov

Auton. Agents Multi Agent Syst., 2022

AdLeap-MAS: An Open-source Multi-Agent Simulator for Ad-hoc Reasoning.

Matheus Aparecido do Carmo Alves, Amokh Varma, Yehia Elkhatib, Leandro Soriano Marcolino

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Effective and unburdensome forecast of highway traffic flow with adaptive computing.

Matheus Aparecido do Carmo Alves, Robson L. F. Cordeiro

Knowl. Based Syst., 2021

2020

On-line Estimators for Ad-hoc Task Allocation.

Elnaz Shafipour Yourdshahi, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Plamen Angelov

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Real-time Learning and Planning in Environments with Swarms: A Hierarchical and a Parameter-based Simulation Approach.

Lukasz Pelcner, Shaling Li, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Alex Collins

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020