My main research interests are Bayesian statistics, Reinforcement Learning (Inverse RL, Deep RL) and Brain-inspired AI.
I read papers following Andrew Ng's invaluable tips on How to read research papers (Andrew NG)

Non-exhaustive list of papers I like

• Maximum Entropy Inverse Reinforcement, Ziebart et al. [My summary notes] [original paper]
• Bayesian decision theory in sensorimotor control, Körding et al. [My summary notes] [original paper, not open access]
• PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection, Shi et al. [original paper]
• Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning, Jacques et al. [original paper]
• Learning Light Transport the Reinforced Way, Dahm et al. [My implementation][original paper]
• ..... work in progress .....