2023
Huang, Liwei, Fu, Mingsheng, Rao, Ananya, Irissappane, Athirai, Zhang, Jie, Xu, Cheng-Zhong, "A Distributional Perspective on Multi-agent Cooperation with Deep Reinforcement Learning" IEEE Transactions on Neural Networks and Learning Systems, 2023
Tang Shi Yuan, Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang, “Teacher‑apprentices RL (TARL): leveraging complex policy distribution through generative adversarial hypernetwork in reinforcement learning” Journal of Autonomous Agents and Multiagent Systems (JAAMAS), (pdf) 2023
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 , " A Brief Guide to Multi-Objective Reinforcement Learning and Planning", in 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023 (JAMMAS Track)
2022
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 , "A Practical Guide to Reinforcement Learning and Planning", Autonomous Agents and Multi-Agent Systems, 36(1): 1-59, 2022 (PDF)
[AAMAS'22] Wang, Shang, Mathieu Reymond, Athirai A. Irissappane, and Diederik M. Roijers. "Near On-Policy Experience Sampling in Multi-Objective Reinforcement Learning." In 21th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2021, pp. 1756-1758. 2022.
2021
MingSheng Fu, Anubha Agarwal, Athirai A. Irissappane, Jie Zhang, Liwei Huang, Hong Qu, “Deep Reinforcement Learning Framework for Category-based Item Recommendation”, in submission at IEEE Transactions on Cybernetics, 2021(PDF).
[AAMAS'21 Premier Paper Invited to JAAMAS] Tang Shi Yuan, Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang, “Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork” 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2021 (PDF)(Github)
Yu, Hanfei, Athirai A. Irissappane, Hao Wang, and Wes J. Lloyd. "FaaSRank: Learning to Schedule Functions in Serverless Platforms." In 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), pp. 31-40. IEEE, 2021. (PDF)
2020
Athirai A. Irissappane, Hanfei Yu, Yankun Shen, Anubha Agrawal and Gray Stanton, "Leveraging GPT-2 for Opinion Spam Detection with Limited Labeled Data", arXiv preprint arXiv:2012.13400, 2020 (PDF) (Github)
[AAAI'21] Hulbert, Neil, Sam Spillers, Brandon Francis, James Haines-Temons, Ken Gil Romero, Benjamin De Jager, Sam Wong, Kevin Flora, Bowei Huang, and Athirai A. Irissappane. "EasyRL: A Simple and Extensible Reinforcement Learning Framework." 35th AAAI Conference on Autonomous Artificial Intelligence (AAAI - Demo), 2020 (PDF) (Github)
[AAMAS'20] Xiaodong Nian, Athirai A. Irissappane, Diederik Roijers , "DCRAC: Deep Conditioned Recurrent Actor-Critic for Multi-Objective Partially Observable Environments", 19th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2020 (PDF) (video)
2019
[IJCAI'19] Gray Stanton, Athirai A. Irissappane, GANs for Semi-Supervised Opinion Spam Analysis, 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019 (PDF) (Github)
[IJCAI'19] Shuo Chen, Athirai A. Irissappane, Ewa Andrejczuk, Jie Zhang, ATSIS: Achieving Ad hoc Teamwork by Sub-task Inference and Selection , 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019 (PDF)
2016-2018
[AAAI' 18] Shuo Chen, Athirai A. Irissappane, Jie Zhang, POMDP-based Decision Making for Fast Event in VANETS, 32nd AAAI Conference on Artificial Intelligence (AAAI), 2018 (PDF)
[Thesis] Athirai A. Irissappane, Trust Oriented Decision Making Via POMDPs, 2017 (Honorable Mention by SCSE, NTU Outstanding Thesis Award Committee)
[AAAI'16] Athirai A. Irissappane, Frans A. Oliehoek and Jie Zhang, A Scalable Framework to Choose Sellers in E-Marketplaces Using POMDPs, 30th AAAI Conference on Artificial Intelligence (AAAI), 2016 (PDF)(extended)
2015
[JAAMAS] Athirai A. Irissappane and Jie Zhang, "Filtering Unfair Ratings from Dishonest Advisors in Multi-Criteria E-Markets: A Biclustering-Based Approach", Journal of Autonomous Agents and Multiagent Systems (JAAMAS), 2015 (PDF)
[IJCAI'15] Athirai A. Irissappane, Jie Zhang, Frans Oliehoek and Partha S. Dutta, "Secure Routing in Wireless Sensor Networks via POMDPs", In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI), 2015 (PDF)
[IJCAI'15] Athirai A. Irissappane, "Exploiting Trust Information to Cope with Malicious Entities in Multi-Agent Systems", In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), 2015 (accepted by the Doctoral Consortium) (PDF)
[JAIR] Athirai A. Irissappane and Jie Zhang, "A Case-Based Reasoning Framework to Choose Trust Models for Different E-Marketplace Environments", Journal of Artificial Intelligence Research, volume 52, pp. 477-505, 2015 (5-yr Impact Factor: 1.685) (PDF)
[AAMAS'15] Dongxia Wang, Tim Muller, Athirai A. Irissappane, Jie Zhang and Yang Liu, "Using Information Theory to Improve the Robustness of Trust Systems", In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2015 (PDF)
2014
[AAMAS'14] Athirai A. Irissappane, Frans A. Oliehoek and Jie Zhang, "A POMDP Based Approach to Optimally Select Sellers in Electronic Marketplace", 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2014 (PDF)
[AAMAS'14] Athirai A. Irissappane, Siwei Jiang, Jie Zhang, "A Biclustering-Based Approach to Filter Dishonest Advisors in Multi-Criteria E-Marketplaces", 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2014 (Short Paper) (PDF)
[AAMAS'14] Athirai A. Irissappane, Jie Zhang, "A Testbed to Evaluate the Robustness of Reputation Systems in E-Marketplaces", 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2014 (Demo Paper) (PDF)
[AAMAS'14] Athirai A. Irissappane, "Robust Trust Management", 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2014 (accepted by the Doctoral Consortium Program) (PDF)
[TIFS] Peng Zhou, Siwei Jiang, Athirai A. Irissappane, Jie Zhang, Jianying Zhou and Joseph Chee Ming Teo, "Towards Energy-Efficient Trust System through Watchdog Optimization for WSNs", IEEE Transactions on Information Forensics & Security (TIFS), in press, 2014 (Impact Factor: 2.065)
[Book Chapter] Athirai A. Irissappane, Jie Zhang, "Trust in Online Communities", Chapter 2, Computational Trust Models and Machine Learning, Machine Learning and Pattern Recognition Series, Chapman & Hall/CRC Press Taylor & Francis Group, 2014
2012, 2013
[IJCAI'13] Athirai A. Irissappane, Siwei Jiang, Jie Zhang, "A Framework to Choose Trust Models for Different E-Marketplace Environments", 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013 (PDF)
[WI'12] Cheng Wan, Jie Zhang and Athirai A. Irissappane, "A Context-Aware Framework for Detecting Unfair Ratings in an Unknown Real Environment", In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI),2012(PDF)
[TRUM'12] Athirai A. Irissappane, Siwei Jiang, Jie Zhang, "Towards a Comprehensive Testbed to Evaluate the Robustness of Reputation Systems against Unfair Rating Attacks", In Proceedings of the International Conference on User Modeling, Adaptation and Personalization (UMAP) Workshop on Trust, Reputation and User Modeling (TRUM), 2012(PDF)
2008
[ICACT'08] R. Kavitha Kumar, E.Ilavarasan, Athirai A. Irissappane, K.P Mafina, C. Sahiti, "Extension of Clustering Algorithms and their Application in Cancer Dataset", International Conference on Advanced Computing Technologies ICACT 2008
Dr. Pragasm, Athirai A. Irissappane, "The Rights and Responsibilities of Teachers", UGC National Seminar on National Knowledge Commission's report and its implications on Higer Education 2008, Puducherry, India