Athirai Aravazhi Irissappane

Orcid: 0000-0001-9682-3500

According to our database1, Athirai Aravazhi Irissappane authored at least 34 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Distributional Perspective on Multiagent Cooperation With Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

2023
Teacher-apprentices RL (TARL): leveraging complex policy distribution through generative adversarial hypernetwork in reinforcement learning.
Auton. Agents Multi Agent Syst., October, 2023

A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations.
IEEE Trans. Ind. Informatics, 2023

Automated Data Denoising for Recommendation.
CoRR, 2023

RecSys Challenge 2023: Deep Funnel Optimization with a Focus on User Privacy.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

RecSys Challenge 2023 Dataset: Ads Recommendations in Online Advertising.
Proceedings of the ACM RecSys Challenge 2023, Singapore, 19 September 2023, 2023

A Brief Guide to Multi-Objective Reinforcement Learning and Planning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Deep Reinforcement Learning Framework for Category-Based Item Recommendation.
IEEE Trans. Cybern., 2022

A practical guide to multi-objective reinforcement learning and planning.
Auton. Agents Multi Agent Syst., 2022

Near On-Policy Experience Sampling in Multi-Objective Reinforcement Learning.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

FaaSRank: Learning to Schedule Functions in Serverless Platforms.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021

EasyRL: A Simple and Extensible Reinforcement Learning Framework.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Leveraging GPT-2 for Classifying Spam Reviews with Limited Labeled Data via Adversarial Training.
CoRR, 2020

DCRAC: Deep Conditioned Recurrent Actor-Critic for Multi-Objective Partially Observable Environments.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
GANs for Semi-Supervised Opinion Spam Detection.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
POMDP-Based Decision Making for Fast Event Handling in VANETs.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Filtering unfair ratings from dishonest advisors in multi-criteria e-markets: a biclustering-based approach.
Auton. Agents Multi Agent Syst., 2017

2016
Trust oriented decision making via POMDPs
PhD thesis, 2016

A Scalable Framework to Choose Sellers in E-Marketplaces Using POMDPs.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Toward Energy-Efficient Trust System Through Watchdog Optimization for WSNs.
IEEE Trans. Inf. Forensics Secur., 2015

A Case-Based Reasoning Framework to Choose Trust Models for Different E-Marketplace Environments.
J. Artif. Intell. Res., 2015

Scaling POMDPs For Selecting Sellers in E-markets-Extended Version.
CoRR, 2015

Secure Routing in Wireless Sensor Networks via POMDPs.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Exploiting Trust Information to Cope with Malicious Entities in Multi-Agent Systems.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Using Information Theory to Improve the Robustness of Trust Systems.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
A POMDP based approach to optimally select sellers in electronic marketplaces.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

A biclustering-based approach to filter dishonest advisors in multi-criteria e-marketplaces.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Robust trust management.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

A testbed to evaluate the robustness of reputation systems in e-marketplaces.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013
A Framework to Choose Trust Models for Different E-Marketplace Environments.
Proceedings of the IJCAI 2013, 2013

2012
A Context-Aware Framework for Detecting Unfair Ratings in an Unknown Real Environment.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Towards a comprehensive testbed to evaluate the robustness of reputation systems against unfair rating attack.
Proceedings of the Workshop and Poster Proceedings of the 20th Conference on User Modeling, 2012


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