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

I will be delivering an invited talk (virtually) at Hiroshima University as part of the Taoyaka Program on 26th November, 2021

November, 2021

Email: thommengk at gmail dot com

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Videos

Localization, mapping, path planning and control

Object recognition using the EvoBot

Multiagent mapping application

EvoBot executing energy optimal navigation