Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Athirai A. Irissappane"'
Publikováno v:
IEEE Transactions on Industrial Informatics. 19:2049-2061
Publikováno v:
IEEE Transactions on Cybernetics. 52:12028-12041
Deep reinforcement learning (DRL)-based recommender systems have recently come into the limelight due to their ability to optimize long-term user engagement. A significant challenge in DRL-based recommender systems is the large action space required
Publikováno v:
Autonomous Agents and Multi-Agent Systems. 37
Publikováno v:
IEEE transactions on neural networks and learning systems.
Among various value decomposition-based multiagent reinforcement learning (MARL) algorithms, the overall performance of the multiagent system is represented by a scalar global Q value and optimized by minimizing the temporal difference (TD) error wit
Autor:
Conor F. Hayes, Roxana Rădulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers
Real-world sequential decision-making tasks are generally complex, requiring trade-offs between multiple, often conflicting, objectives. Despite this, the majority of research in reinforcement learning and decision-theoretic planning either assumes o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::230e86a618c39a66453f80df3efccc63
https://hdl.handle.net/20.500.14017/9f4f075d-a2a3-46ae-a725-4773e228e8e5
https://hdl.handle.net/20.500.14017/9f4f075d-a2a3-46ae-a725-4773e228e8e5
Publikováno v:
2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS).
Publikováno v:
IJCAI
In an ad hoc teamwork setting, the team needs to coordinate their activities to perform a task without prior agreement on how to achieve it. The ad hoc agent cannot communicate with its teammates but it can observe their behaviour and plan accordingl
Autor:
Gray Stanton, Athirai A. Irissappane
Publikováno v:
IJCAI
Online reviews have become a vital source of information in purchasing a service (product). Opinion spammers manipulate reviews, affecting the overall perception of the service. A key challenge in detecting opinion spam is obtaining ground truth. Tho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b32007f757366cc4165c02d4060e9d5f
http://arxiv.org/abs/1903.08289
http://arxiv.org/abs/1903.08289
Autor:
Athirai A. Irissappane, Jie Zhang
Publikováno v:
Autonomous Agents and Multi-Agent Systems. 31:36-65
In multiagent e-markets, trust between interaction partners (buying agents and selling agents) is vital for any transaction to be successful. Given the difficulty for a buyer to directly judge the quality (trustworthiness) of a seller for a transacti
Autor:
Peng Zhou, Athirai A. Irissappane, Jianying Zhou, Siwei Jiang, Jie Zhang, Joseph Chee Ming Teo
Publikováno v:
IEEE Transactions on Information Forensics and Security. 10:613-625
Watchdog technique is a fundamental building block to many trust systems that are designed for securing wireless sensor networks (WSNs). Unfortunately, this kind of technique consumes much energy and hence largely limits the lifespan of WSN. Although