Items where Author is "do Carmo Alves, Matheus Aparecido"

Journal Article

Shafipour Yourdshahi, Elnaz and do Carmo Alves, Matheus Aparecido and Varma, Amokh and Soriano Marcolino, Leandro and Ueyama, Jó and Angelov, Plamen (2022) On-line estimators for ad-hoc task execution : learning types and parameters of teammates for effective teamwork. Autonomous Agents and Multi-Agent Systems, 36: 45. ISSN 1387-2532

Contribution in Book/Report/Proceedings

Pelcner, Lukasz and do Carmo Alves, Matheus Aparecido and Soriano Marcolino, Leandro and Harrison, Paula and Atkinson, Peter (2024) Incentive-Driven Multi-agent Reinforcement Learning Approach for Commons Dilemmas in Land-Use. In: PRIMA 2024: Principles and Practice of Multi-Agent Systems: : 25th International Conference, Kyoto, Japan, November 18–24, 2024, Proceedings. Lecture Notes in Computer Science . Springer, Cham, pp. 284-289. ISBN 9783031773662

Pelcner, Lukasz and do Carmo Alves, Matheus Aparecido and Soriano Marcolino, Leandro and Harrison, Paula and Atkinson, Peter (2023) Incentive-based MARL Approach for Commons Dilemmas in Property-based Environments : Extended Abstract. In: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems :. IFAAMAS, NZL. (In Press)

do Carmo Alves, Matheus Aparecido and Varma, Amokh and Soriano Marcolino, Leandro and Elkhatib, Yehia (2023) It Is Among Us: Identifying Adversaries in Ad-hoc Domains Using Q-valued Bayesian Estimations. In: Proc. of the 23rd International Conference on Autonomous Agents and Multiagent Systems :. IFAAMAS, NZL. (In Press)

do Carmo Alves, Matheus Aparecido and Varma, Amokh and Soriano Marcolino, Leandro and Elkhatib, Yehia (2023) Information-guided Planning : An Online Approach for Partially Observable Problems. In: Thirty-seventh Conference on Neural Information Processing Systems :. UNSPECIFIED, USA. (In Press)

do Carmo Alves, Matheus Aparecido and Varma, Amokh and Soriano Marcolino, Leandro and Elkhatib, Yehia (2022) AdLeap-MAS: An Open-source Multi-Agent Simulator for Ad-hoc Reasoning : Demonstration Track. In: AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems :. ACM, NZL, pp. 1893-1895. ISBN 9781450392136

Thesis

do Carmo Alves, Matheus Aparecido and Soriano Marcolino, Leandro and Elkhatib, Yehia (2024) Monte-Carlo Based Online planning Under Partial Observability : Solving Single and Multi-Agent Problems. PhD thesis, Lancaster University.