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Thommen George Karimpanal
Research Fellow, Applied Artificial Intelligence Institute
My academic interests lie in the field of reinforcement learning and approaches to improve its practical feasibility. I believe this can be done by making use of human guidance in various forms, along with other approaches to improve the agent's context-awareness. In the future, I also intend to explore neuroevolutionary approaches to integrate intra-life (aka learning) and inter-life (aka evolutionary) adaptation as a step towards automating the design of artificial agents.
News & Updates
Happy to annouce that our paper "Controlled Diversity with Preference: Towards Learning a Diverse Set of Desired Skills", led by my PhD student, Maxence Hussonnois, has been nominated for the best student paper award at AAMAS 2023!
thommengk at gmail dot com
PhD positions available in reinforcement learning (safe/model-based/transfer/human-aligned/explainable learning)
Postdoc positions may also be available. Contact me if interested.
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