Towards a comprehensive testbed to evaluate the robustness of reputation systems against unfair rating attack. - Athirai Aravazhi Irissappane; Siwei Jiang; Jie Zhang 002 (UMAP Workshops, 2012)

A Context-Aware Framework for Detecting Unfair Ratings in an Unknown Real Environment. - Cheng Wan 002; Jie Zhang 002; Athirai Aravazhi Irissappane (Web Intelligence, 2012)

A Framework to Choose Trust Models for Different E-Marketplace Environments. - Athirai Aravazhi Irissappane; Siwei Jiang; Jie Zhang 002 (IJCAI, 2013)

A testbed to evaluate the robustness of reputation systems in e-marketplaces. - Athirai Aravazhi Irissappane; Jie Zhang 002 (AAMAS, 2014)

Robust trust management. - Athirai Aravazhi Irissappane (AAMAS, 2014)

A biclustering-based approach to filter dishonest advisors in multi-criteria e-marketplaces. - Athirai Aravazhi Irissappane; Siwei Jiang; Jie Zhang 002 (AAMAS, 2014)

A POMDP based approach to optimally select sellers in electronic marketplaces. - Athirai Aravazhi Irissappane; Frans A. Oliehoek; Jie Zhang 002 (AAMAS, 2014)

Using Information Theory to Improve the Robustness of Trust Systems. - Dongxia Wang 002; Tim Muller; Athirai Aravazhi Irissappane; Jie Zhang 002; Yang Liu 003 (AAMAS, 2015)

Exploiting Trust Information to Cope with Malicious Entities in Multi-Agent Systems. - Athirai Aravazhi Irissappane (IJCAI, 2015)

Secure Routing in Wireless Sensor Networks via POMDPs. - Athirai Aravazhi Irissappane; Jie Zhang 002; Frans A. Oliehoek; Partha Sarathi Dutta (IJCAI, 2015)

Scaling POMDPs For Selecting Sellers in E-markets-Extended Version. - Athirai Aravazhi Irissappane; Frans A. Oliehoek; Jie Zhang 002 (CoRR, 2015)

A Case-Based Reasoning Framework to Choose Trust Models for Different E-Marketplace Environments. - Athirai Aravazhi Irissappane; Jie Zhang 002 (J. Artif. Intell. Res., 2015)

Toward Energy-Efficient Trust System Through Watchdog Optimization for WSNs. - Peng Zhou 002; Siwei Jiang; Athirai Aravazhi Irissappane; Jie Zhang 002; Jianying Zhou 001; Joseph Chee Ming Teo (IEEE Trans. Inf. Forensics Secur., 2015)

A Scalable Framework to Choose Sellers in E-Marketplaces Using POMDPs. - Athirai Aravazhi Irissappane; Frans A. Oliehoek; Jie Zhang 002 (AAAI, 2016)

Trust oriented decision making via POMDPs - Athirai Aravazhi Irissappane (2016)

Filtering unfair ratings from dishonest advisors in multi-criteria e-markets: a biclustering-based approach. - Athirai Aravazhi Irissappane; Jie Zhang 002 (Auton. Agents Multi Agent Syst., 2017)

POMDP-Based Decision Making for Fast Event Handling in VANETs. - Shuo Chen 006; Athirai Aravazhi Irissappane; Jie Zhang 002 (AAAI, 2018)

ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection. - Shuo Chen 006; Ewa Andrejczuk; Athirai Aravazhi Irissappane; Jie Zhang 002 (IJCAI, 2019)

GANs for Semi-Supervised Opinion Spam Detection. - Gray Stanton; Athirai Aravazhi Irissappane (IJCAI, 2019)

DCRAC: Deep Conditioned Recurrent Actor-Critic for Multi-Objective Partially Observable Environments. - Xiaodong Nian; Athirai Aravazhi Irissappane; Diederik M. Roijers (AAMAS, 2020)

Leveraging GPT-2 for Classifying Spam Reviews with Limited Labeled Data via Adversarial Training. - Athirai A. Irissappane; Hanfei Yu; Yankun Shen; Anubha Agrawal; Gray Stanton (CoRR, 2020)

EasyRL: A Simple and Extensible Reinforcement Learning Framework. - Neil Hulbert; Sam Spillers; Brandon Francis; James Haines-Temons; Ken Gil Romero; Benjamin De Jager; Sam Wong; Kevin Flora; Bowei Huang; Athirai A. Irissappane (AAAI, 2021)

FaaSRank: Learning to Schedule Functions in Serverless Platforms. - Hanfei Yu; Athirai A. Irissappane; Hao Wang 022; Wes J. Lloyd (ACSOS, 2021)

Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork. - Shi Yuan Tang; Athirai A. Irissappane; Frans A. Oliehoek; Jie Zhang 002 (AAMAS, 2021)

Near On-Policy Experience Sampling in Multi-Objective Reinforcement Learning. - Shang Wang; Mathieu Reymond; Athirai A. Irissappane; Diederik M. Roijers (AAMAS, 2022)

A practical guide to multi-objective reinforcement learning and planning. - 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; et al. (Auton. Agents Multi Agent Syst., 2022)

Deep Reinforcement Learning Framework for Category-Based Item Recommendation. - Mingsheng Fu; Anubha Agrawal; Athirai A. Irissappane; Jie Zhang 002; Liwei Huang; Hong Qu (IEEE Trans. Cybern., 2022)

A Brief Guide to Multi-Objective Reinforcement Learning and Planning. - 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; et al. (AAMAS, 2023)

RecSys Challenge 2023 Dataset: Ads Recommendations in Online Advertising. - Rahul Agrawal; Sarang Brahme; Sourav Maitra; Abhishek Srivastava 004; Athirai A. Irissappane; Yong Liu 020; Saikishore Kalloori (RecSys Challenge, 2023)

RecSys Challenge 2023: Deep Funnel Optimization with a Focus on User Privacy. - Rahul Agrawal; Sarang Brahme; Sourav Maitra; Saikishore Kalloori; Abhishek Srivastava 004; Yong Liu 020; Athirai A. Irissappane (RecSys, 2023)

Automated Data Denoising for Recommendation. - Yingqiang Ge; Mostafa Rahmani; Athirai A. Irissappane; Jose Sepulveda; James Caverlee; Fei Wang 065 (CoRR, 2023)

A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations. - Mingsheng Fu; Liwei Huang; Ananya Rao; Athirai A. Irissappane; Jie Zhang 002; Hong Qu (IEEE Trans. Ind. Informatics, 2023)

Teacher-apprentices RL (TARL): leveraging complex policy distribution through generative adversarial hypernetwork in reinforcement learning. - Shi Yuan Tang; Athirai A. Irissappane; Frans A. Oliehoek; Jie Zhang 002 (Auton. Agents Multi Agent Syst., 2023)

A Distributional Perspective on Multiagent Cooperation With Deep Reinforcement Learning. - Liwei Huang; Mingsheng Fu; Ananya Rao; Athirai A. Irissappane; Jie Zhang 002; Chengzhong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)