Matheus Aparecido do Carmo Alves

12 papers A* 2A 6B 1Journal 2Unranked 1
YearRankTypeTitle / Venue / Authors
2025 — conf
A Comparative Study of Interaction Force Estimation Methods for Transparency Control in Wearable Robots Context.
ICAR
Elisa G. Vergamini, André Vecchione, Matheus Aparecido do Carmo Alves, Lucas Toschi, Cícero Zanette, Lucca Maitan, Leonardo F. dos Santos, Felix M. Escalante Ortega, Thiago Boaventura
2025 A* conf
Multi Objective Quantile Based Reinforcement Learning for Modern Urban Planning.
IJCAI
Lukasz Pelcner, Leandro Soriano Marcolino, Matheus Aparecido do Carmo Alves, Paula A. Harrison, Peter M. Atkinson
2024 B conf
Incentive-Driven Multi-agent Reinforcement Learning Approach for Commons Dilemmas in Land-Use.
PRIMA
Lukasz Pelcner, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Paula A. Harrison, Peter M. Atkinson
2024 A conf
Incentive-based MARL Approach for Commons Dilemmas in Property-based Environments.
AAMAS
Lukasz Pelcner, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Paula A. Harrison, Peter M. Atkinson
2024 A conf
It Is Among Us: Identifying Adversaries in Ad-hoc Domains using Q-valued Bayesian Estimations.
AAMAS
Matheus Aparecido do Carmo Alves, Amokh Varma, Yehia Elkhatib, Leandro Soriano Marcolino
2023 A* conf
Information-guided Planning: An Online Approach for Partially Observable Problems.
NeurIPS
Matheus Aparecido do Carmo Alves, Amokh Varma, Yehia Elkhatib, Leandro Soriano Marcolino
2023 A conf
On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork.
AAMAS
Matheus Aparecido do Carmo Alves, Elnaz Shafipour Yourdshahi, Amokh Varma, Leandro Soriano Marcolino, Jó Ueyama, Plamen Angelov
2022 A conf
AdLeap-MAS: An Open-source Multi-Agent Simulator for Ad-hoc Reasoning.
AAMAS
Matheus Aparecido do Carmo Alves, Amokh Varma, Yehia Elkhatib, Leandro Soriano Marcolino
2022 J jnl
On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork.
Auton. Agents Multi Agent Syst.
Elnaz Shafipour Yourdshahi, Matheus Aparecido do Carmo Alves, Amokh Varma, Leandro Soriano Marcolino, Jó Ueyama, Plamen Angelov
2021 J jnl
Effective and unburdensome forecast of highway traffic flow with adaptive computing.
Knowl. Based Syst.
Matheus Aparecido do Carmo Alves, Robson L. F. Cordeiro
2020 A conf
On-line Estimators for Ad-hoc Task Allocation.
AAMAS
Elnaz Shafipour Yourdshahi, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Plamen Angelov
2020 A conf
Real-time Learning and Planning in Environments with Swarms: A Hierarchical and a Parameter-based Simulation Approach.
AAMAS
Lukasz Pelcner, Shaling Li, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Alex Collins