Research Interests

My academic interests lie in the fields of reinforcement learning, life-long learning, bio-inspired learning algorithms and optimization applied to control problems. My current research focuses on the safe and sample-efficient training of reinforcement learning agents through the autonomous inference of domain priors, as well as other mechanisms that contribute towards the agent's domain-awareness.

News & Updates

Happy to be recognized as a top (8%) reviewer, and to be awarded a free registration for my reviewing work at NeurIPS 2022!

October, 2022

Contact me:

thommengk at gmail dot com

Postdoc positions may also be available. Contact me if interested.

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