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ORCIDAthirai Aravazhi Irissappane
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2020 – today
- 2024
[j8]Liwei Huang
, Mingsheng Fu, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Chengzhong Xu:
A Distributional Perspective on Multiagent Cooperation With Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4246-4259 (2024)- 2023
- [j7]Shi Yuan Tang, Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang:
Teacher-apprentices RL (TARL): leveraging complex policy distribution through generative adversarial hypernetwork in reinforcement learning. Auton. Agents Multi Agent Syst. 37(2): 25 (2023) - [j6]Mingsheng Fu, Liwei Huang, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Hong Qu:
A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations. IEEE Trans. Ind. Informatics 19(2): 2049-2061 (2023) - [c22]Conor F. Hayes, Roxana Radulescu, 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 de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers:
A Brief Guide to Multi-Objective Reinforcement Learning and Planning. AAMAS 2023: 1988-1990 - [c21]Rahul Agrawal, Sarang Brahme, Sourav Maitra, Abhishek Srivastava, Athirai A. Irissappane, Yong Liu, Saikishore Kalloori:
RecSys Challenge 2023 Dataset: Ads Recommendations in Online Advertising. RecSys Challenge 2023: 1-3 - [c20]Rahul Agrawal, Sarang Brahme, Sourav Maitra, Saikishore Kalloori, Abhishek Srivastava, Yong Liu, Athirai A. Irissappane:
RecSys Challenge 2023: Deep Funnel Optimization with a Focus on User Privacy. RecSys 2023: 1217-1220 - [i6]Yingqiang Ge, Mostafa Rahmani, Athirai A. Irissappane, Jose Sepulveda, James Caverlee, Fei Wang:
Automated Data Denoising for Recommendation. CoRR abs/2305.07070 (2023) - 2022
- [j5]Conor F. Hayes, Roxana Radulescu, 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 de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers:
A practical guide to multi-objective reinforcement learning and planning. Auton. Agents Multi Agent Syst. 36(1): 26 (2022) - [j4]Mingsheng Fu, Anubha Agrawal, Athirai A. Irissappane, Jie Zhang, Liwei Huang, Hong Qu:
Deep Reinforcement Learning Framework for Category-Based Item Recommendation. IEEE Trans. Cybern. 52(11): 12028-12041 (2022) - [c19]Shang Wang, Mathieu Reymond, Athirai A. Irissappane, Diederik M. Roijers:
Near On-Policy Experience Sampling in Multi-Objective Reinforcement Learning. AAMAS 2022: 1756-1758 - 2021
- [c18]Neil Hulbert, Sam Spillers, Brandon Francis, James Haines-Temons, Ken Gil Romero, Benjamin De Jager, Sam Wong, Kevin Flora, Bowei Huang, Athirai A. Irissappane:
EasyRL: A Simple and Extensible Reinforcement Learning Framework. AAAI 2021: 16041-16043 - [c17]Hanfei Yu, Athirai A. Irissappane, Hao Wang, Wes J. Lloyd:
FaaSRank: Learning to Schedule Functions in Serverless Platforms. ACSOS 2021: 31-40 - [c16]Shi Yuan Tang, Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang:
Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork. AAMAS 2021: 1308-1316 - [i5]Conor F. Hayes, Roxana Radulescu, 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 de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers:
A Practical Guide to Multi-Objective Reinforcement Learning and Planning. CoRR abs/2103.09568 (2021) - 2020
- [c15]Xiaodong Nian, Athirai Aravazhi Irissappane, Diederik M. Roijers:
DCRAC: Deep Conditioned Recurrent Actor-Critic for Multi-Objective Partially Observable Environments. AAMAS 2020: 931-938 - [i4]Neil Hulbert, Sam Spillers, Brandon Francis, James Haines-Temons, Ken Gil Romero, Benjamin De Jager, Sam Wong, Kevin Flora, Bowei Huang, Athirai A. Irissappane:
EasyRL: A Simple and Extensible Reinforcement Learning Framework. CoRR abs/2008.01700 (2020) - [i3]Athirai A. Irissappane, Hanfei Yu, Yankun Shen, Anubha Agrawal, Gray Stanton:
Leveraging GPT-2 for Classifying Spam Reviews with Limited Labeled Data via Adversarial Training. CoRR abs/2012.13400 (2020)
2010 – 2019
- 2019
- [c14]Shuo Chen, Ewa Andrejczuk, Athirai Aravazhi Irissappane, Jie Zhang:
ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection. IJCAI 2019: 172-179 - [c13]Gray Stanton, Athirai Aravazhi Irissappane:
GANs for Semi-Supervised Opinion Spam Detection. IJCAI 2019: 5204-5210 - [i2]Gray Stanton, Athirai Aravazhi Irissappane:
GANs for Semi-Supervised Opinion Spam Detection. CoRR abs/1903.08289 (2019) - 2018
- [c12]Shuo Chen, Athirai Aravazhi Irissappane, Jie Zhang:
POMDP-Based Decision Making for Fast Event Handling in VANETs. AAAI 2018: 4646-4653 - 2017
- [j3]Athirai Aravazhi Irissappane, Jie Zhang:
Filtering unfair ratings from dishonest advisors in multi-criteria e-markets: a biclustering-based approach. Auton. Agents Multi Agent Syst. 31(1): 36-65 (2017) - 2016
- [b1]Athirai Aravazhi Irissappane:
Trust oriented decision making via POMDPs. Nanyang Technological University, Singapore, 2016 - [c11]Athirai Aravazhi Irissappane, Frans A. Oliehoek, Jie Zhang:
A Scalable Framework to Choose Sellers in E-Marketplaces Using POMDPs. AAAI 2016: 158-164 - 2015
- [j2]Athirai Aravazhi Irissappane, Jie Zhang:
A Case-Based Reasoning Framework to Choose Trust Models for Different E-Marketplace Environments. J. Artif. Intell. Res. 52: 477-505 (2015) - [j1]Peng Zhou, Siwei Jiang, Athirai Aravazhi Irissappane, Jie Zhang, Jianying Zhou, Joseph Chee Ming Teo:
Toward Energy-Efficient Trust System Through Watchdog Optimization for WSNs. IEEE Trans. Inf. Forensics Secur. 10(3): 613-625 (2015) - [c10]Dongxia Wang, Tim Muller, Athirai Aravazhi Irissappane, Jie Zhang, Yang Liu:
Using Information Theory to Improve the Robustness of Trust Systems. AAMAS 2015: 791-799 - [c9]Athirai Aravazhi Irissappane, Jie Zhang, Frans A. Oliehoek, Partha Sarathi Dutta:
Secure Routing in Wireless Sensor Networks via POMDPs. IJCAI 2015: 2617-2623 - [c8]Athirai Aravazhi Irissappane:
Exploiting Trust Information to Cope with Malicious Entities in Multi-Agent Systems. IJCAI 2015: 4369-4370 - [i1]Athirai Aravazhi Irissappane, Frans A. Oliehoek, Jie Zhang:
Scaling POMDPs For Selecting Sellers in E-markets-Extended Version. CoRR abs/1511.09147 (2015) - 2014
- [c7]Athirai Aravazhi Irissappane, Frans A. Oliehoek, Jie Zhang:
A POMDP based approach to optimally select sellers in electronic marketplaces. AAMAS 2014: 1329-1336 - [c6]Athirai Aravazhi Irissappane, Siwei Jiang, Jie Zhang:
A biclustering-based approach to filter dishonest advisors in multi-criteria e-marketplaces. AAMAS 2014: 1385-1386 - [c5]Athirai Aravazhi Irissappane, Jie Zhang:
A testbed to evaluate the robustness of reputation systems in e-marketplaces. AAMAS 2014: 1629-1630 - [c4]Athirai Aravazhi Irissappane:
Robust trust management. AAMAS 2014: 1713-1714 - 2013
- [c3]Athirai Aravazhi Irissappane, Siwei Jiang, Jie Zhang:
A Framework to Choose Trust Models for Different E-Marketplace Environments. IJCAI 2013: 213-219 - 2012
- [c2]Athirai Aravazhi Irissappane, Siwei Jiang, Jie Zhang:
Towards a comprehensive testbed to evaluate the robustness of reputation systems against unfair rating attack. UMAP Workshops 2012 - [c1]Cheng Wan, Jie Zhang, Athirai Aravazhi Irissappane:
A Context-Aware Framework for Detecting Unfair Ratings in an Unknown Real Environment. Web Intelligence 2012: 563-567
Coauthor Index
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