Athirai Aravazhi Irissappane

Researcher, Amazon

Joined

February 2021

Names

Athirai Aravazhi Irissappane (Preferred)

Emails

****@uw.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Amazon (amazon.com)

2021 – Present

Assistant Professor

University of Washington, Tacoma (uw.edu)

2018 – 2021

PhD student

Nanyang Technological University (ntu.edu.sg)

2012 – 2016

MS student

National University of Singapore (nus.edu.sg)

2011 – 2012

Advisors, Relations & Conflicts

PhD Advisor

Jie Zhang

2012 – Present

Postdoc Advisor

frans oliehoek

2012 – Present

Expertise

Reinforcement Learning

Planning under Uncertainty

Multiple Objectives

2012 – Present

Recommender Systems

Artificial Intelligence

Intelligent Agents

Natural Language Processing

2012 – Present

Publications

A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations
Mingsheng Fu, Liwei Huang, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Hong Qu
- Published: 01 Jan 2023, Last Modified: 03 May 2023
- IEEE Trans. Ind. Informatics 2023
- Readers: Everyone
Deep Reinforcement Learning Framework for Category-Based Item Recommendation
Mingsheng Fu, Anubha Agrawal, Athirai A. Irissappane, Jie Zhang, Liwei Huang, Hong Qu
- Published: 01 Jan 2022, Last Modified: 03 May 2023
- IEEE Trans. Cybern. 2022
- Readers: Everyone
Near On-Policy Experience Sampling in Multi-Objective Reinforcement Learning
Shang Wang, Mathieu Reymond, Athirai A. Irissappane, Diederik M. Roijers
- Published: 01 Jan 2022, Last Modified: 03 May 2023
- AAMAS 2022
- Readers: Everyone
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, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers
- Published: 01 Jan 2022, Last Modified: 03 May 2023
- Auton. Agents Multi Agent Syst. 2022
- Readers: Everyone
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, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers
- 2021 (modified: 28 Sept 2025)
- CoRR 2021
- Readers: Everyone
FaaSRank: Learning to Schedule Functions in Serverless Platforms
Hanfei Yu, Athirai A. Irissappane, Hao Wang, Wes J. Lloyd
- Published: 01 Jan 2021, Last Modified: 03 May 2023
- ACSOS 2021
- Readers: Everyone
Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork
Shi Yuan Tang, Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang
- Published: 01 Jan 2021, Last Modified: 03 May 2023
- AAMAS 2021
- Readers: Everyone
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
- Published: 01 Jan 2021, Last Modified: 03 May 2023
- AAAI 2021
- Readers: Everyone
DCRAC: Deep Conditioned Recurrent Actor-Critic for Multi-Objective Partially Observable Environments
Xiaodong Nian, Athirai Aravazhi Irissappane, Diederik M. Roijers
- 2020 (modified: 07 Feb 2024)
- AAMAS 2020
- Readers: Everyone
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
- 2020 (modified: 17 Sept 2024)
- CoRR 2020
- Readers: Everyone

View all 25 publications

Co-Authors

View all 51 co-authors