I am interested in the intersection of learning and planning from a theoretical viewpoint. I generally advocate for model-based planning but am also aware of the benefits of model-free planning.

My previous research background includes complexity theory, machine learning, and various flavours of automated planning (e.g. hierarchical, stochastic, numeric, and multi-objective) and am always open to studying new research fields. 

The two main problems I am currently interested in currently are 
1. looking into problem methodologies that make model-based planning more applicable and feasible
2. discovering and/or developing theory for the field of learning and planning to improve generalisation, scalability, and solution quality