Hello, I'm Sreejith
sreejith[at]gmail[dot]com
I am a PhD student at the National University of Singapore, co-supervised by Dr. Bryan Low and Dr. Harold Soh . I am interested in teaching AI agents and robots precisely what to do/achieve to avoid any unexpected consequences. In particular, I design algorithms that enable agents to learn their purpose from watching demonstrations from experts.
Before my PhD, I worked as a Research Engineer at the UNiCEN lab at Singapore Management University (SMU), modelling supply and demand patterns of taxis in Singapore. Before that, I was at ABB Private Limited as a Process Automation Engineer and later as a Section Manager overseeing a team of product specialists in charge of customers from Asia, Australia and New Zealand. For details about my background and research, please take a look at my curriculum vitae and my Google Scholar page.
news
Dec 6, 2022 | Reviewing AAMAS 2023 submissions. |
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Nov 16, 2022 | Completed my Thesis Proposal presentation. One step closer to graduation! |
Aug 4, 2022 | Presenting my thesis under the Student Track at AIES 2022, Oxford. |
Aug 1, 2022 | Presenting my paper SCALES at AIES 2022, Oxford. |
May 14, 2022 | Selected for AIES 2022 Student Track in addition to the Main Track. Excited to present my thesis ideas to the scholars at this conference. |
selected publications
- Efficient exploration of reward functions in inverse reinforcement learning via bayesian optimizationAdvances in Neural Information Processing Systems 2020
- SCALES: From Fairness Principles to Constrained Decision-MakingIn Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society 2022