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 serving as a program committee member for AAAI 2021
Localization, mapping, path planning and control
Object recognition using the EvoBot
Multiagent mapping application
EvoBot executing energy optimal navigation