Athirai A. Irissappane

16 papers A* 1A 4Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Distributional Perspective on Multiagent Cooperation With Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Liwei Huang, Mingsheng Fu, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Chengzhong Xu
2023 A conf
A Brief Guide to Multi-Objective Reinforcement Learning and Planning.
AAMAS
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
2023 J jnl
A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations.
IEEE Trans. Ind. Informatics
Mingsheng Fu, Liwei Huang, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Hong Qu
2023 J jnl
Automated Data Denoising for Recommendation.
CoRR
Yingqiang Ge, Mostafa Rahmani, Athirai A. Irissappane, Jose Sepulveda, James Caverlee, Fei Wang
2023 — conf
RecSys Challenge 2023 Dataset: Ads Recommendations in Online Advertising.
RecSys Challenge
Rahul Agrawal, Sarang Brahme, Sourav Maitra, Abhishek Srivastava, Athirai A. Irissappane, Yong Liu, Saikishore Kalloori
2023 A conf
RecSys Challenge 2023: Deep Funnel Optimization with a Focus on User Privacy.
RecSys
Rahul Agrawal, Sarang Brahme, Sourav Maitra, Saikishore Kalloori, Abhishek Srivastava, Yong Liu, Athirai A. Irissappane
2023 J jnl
Teacher-apprentices RL (TARL): leveraging complex policy distribution through generative adversarial hypernetwork in reinforcement learning.
Auton. Agents Multi Agent Syst.
Shi Yuan Tang, Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang
2022 J jnl
A practical guide to multi-objective reinforcement learning and planning.
Auton. Agents Multi Agent Syst.
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
2022 J jnl
Deep Reinforcement Learning Framework for Category-Based Item Recommendation.
IEEE Trans. Cybern.
Mingsheng Fu, Anubha Agrawal, Athirai A. Irissappane, Jie Zhang, Liwei Huang, Hong Qu
2022 A conf
Near On-Policy Experience Sampling in Multi-Objective Reinforcement Learning.
AAMAS
Shang Wang, Mathieu Reymond, Athirai A. Irissappane, Diederik M. Roijers
2021 J jnl
A Practical Guide to Multi-Objective Reinforcement Learning and Planning.
CoRR
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
2021 A* conf
EasyRL: A Simple and Extensible Reinforcement Learning Framework.
AAAI
Neil Hulbert, Sam Spillers, Brandon Francis, James Haines-Temons, Ken Gil Romero, Benjamin De Jager, Sam Wong, Kevin Flora, Bowei Huang, Athirai A. Irissappane
2021 — conf
FaaSRank: Learning to Schedule Functions in Serverless Platforms.
ACSOS
Hanfei Yu, Athirai A. Irissappane, Hao Wang, Wes J. Lloyd
2021 A conf
Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork.
AAMAS
Shi Yuan Tang, Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang
2020 J jnl
EasyRL: A Simple and Extensible Reinforcement Learning Framework.
CoRR
Neil Hulbert, Sam Spillers, Brandon Francis, James Haines-Temons, Ken Gil Romero, Benjamin De Jager, Sam Wong, Kevin Flora, Bowei Huang, Athirai A. Irissappane
2020 J jnl
Leveraging GPT-2 for Classifying Spam Reviews with Limited Labeled Data via Adversarial Training.
CoRR
Athirai A. Irissappane, Hanfei Yu, Yankun Shen, Anubha Agrawal, Gray Stanton