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On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork JAAMAS Track

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork JAAMAS Track. / do Carmo Alves, Matheus Ap; Yourdshahi, Elnaz Shafipour; Varma, Amokh et al.
Proceedings of AAMAS-2023. Vol. 2023-May New York: ACM, 2023. p. 140-142 (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

do Carmo Alves, MA, Yourdshahi, ES, Varma, A, Marcolino, LS, Ueyama, J & Angelov, P 2023, On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork JAAMAS Track. in Proceedings of AAMAS-2023. vol. 2023-May, Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, ACM, New York, pp. 140-142, 22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023, London, United Kingdom, 29/05/23. <https://dl.acm.org/doi/10.5555/3545946.3598629>

APA

do Carmo Alves, M. A., Yourdshahi, E. S., Varma, A., Marcolino, L. S., Ueyama, J., & Angelov, P. (2023). On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork JAAMAS Track. In Proceedings of AAMAS-2023 (Vol. 2023-May, pp. 140-142). (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS). ACM. https://dl.acm.org/doi/10.5555/3545946.3598629

Vancouver

do Carmo Alves MA, Yourdshahi ES, Varma A, Marcolino LS, Ueyama J, Angelov P. On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork JAAMAS Track. In Proceedings of AAMAS-2023. Vol. 2023-May. New York: ACM. 2023. p. 140-142. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).

Author

do Carmo Alves, Matheus Ap ; Yourdshahi, Elnaz Shafipour ; Varma, Amokh et al. / On-line Estimators for Ad-hoc Task Execution : Learning Types and Parameters of Teammates for Effective Teamwork JAAMAS Track. Proceedings of AAMAS-2023. Vol. 2023-May New York : ACM, 2023. pp. 140-142 (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).

Bibtex

@inproceedings{c867378972ec49218334f2f97f51f851,
title = "On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork JAAMAS Track",
abstract = "In this paper, we present On-line Estimators for Ad-hoc Task Execution (OEATE), a novel algorithm for teammates' type and parameter estimation in decentralised task execution. We show theoretically that our algorithm can converge to perfect estimations, under some assumptions, as the number of tasks increases. Empirically, we show better performance against our baselines while estimating type and parameters in several different settings. This is an extended abstract of our JAAMAS paper available online [9].",
keywords = "Ad-hoc Teamwork, On-line planning, Parameters-Types Estimation",
author = "{do Carmo Alves}, {Matheus Ap} and Yourdshahi, {Elnaz Shafipour} and Amokh Varma and Marcolino, {Leandro Soriano} and J{\'o} Ueyama and Plamen Angelov",
year = "2023",
month = may,
day = "30",
language = "English",
isbn = "9781450394321",
volume = "2023-May",
series = "Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS",
publisher = "ACM",
pages = "140--142",
booktitle = "Proceedings of AAMAS-2023",
note = "22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023 ; Conference date: 29-05-2023 Through 02-06-2023",

}

RIS

TY - GEN

T1 - On-line Estimators for Ad-hoc Task Execution

T2 - 22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023

AU - do Carmo Alves, Matheus Ap

AU - Yourdshahi, Elnaz Shafipour

AU - Varma, Amokh

AU - Marcolino, Leandro Soriano

AU - Ueyama, Jó

AU - Angelov, Plamen

PY - 2023/5/30

Y1 - 2023/5/30

N2 - In this paper, we present On-line Estimators for Ad-hoc Task Execution (OEATE), a novel algorithm for teammates' type and parameter estimation in decentralised task execution. We show theoretically that our algorithm can converge to perfect estimations, under some assumptions, as the number of tasks increases. Empirically, we show better performance against our baselines while estimating type and parameters in several different settings. This is an extended abstract of our JAAMAS paper available online [9].

AB - In this paper, we present On-line Estimators for Ad-hoc Task Execution (OEATE), a novel algorithm for teammates' type and parameter estimation in decentralised task execution. We show theoretically that our algorithm can converge to perfect estimations, under some assumptions, as the number of tasks increases. Empirically, we show better performance against our baselines while estimating type and parameters in several different settings. This is an extended abstract of our JAAMAS paper available online [9].

KW - Ad-hoc Teamwork

KW - On-line planning

KW - Parameters-Types Estimation

M3 - Conference contribution/Paper

AN - SCOPUS:85171270261

SN - 9781450394321

VL - 2023-May

T3 - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS

SP - 140

EP - 142

BT - Proceedings of AAMAS-2023

PB - ACM

CY - New York

Y2 - 29 May 2023 through 2 June 2023

ER -