Dilith Jayakody
PhD student, Computer Science at Dalhousie University. Researching with Prof. Janarthanan Rajendran.
I work on how reinforcement learning agents can learn their own intrinsic rewards to become more sample-efficient. Before Dal, I completed my BSc in Computer Science and Engineering at the University of Moratuwa and lectured there on a contract basis.
Recent writing
Kalman Filters - A Quick Introduction
Sharpness-Aware Minimization (SAM) - A Quick Introduction
Model Predictive Path Integral (MPPI) - A Quick Introduction
The Reparameterization Trick - Clearly Explained
Model-based vs. Model-free Reinforcement Learning - Clearly Explained
