Inactive Projects

• Time Series Benchmarking

This project is about developing some standard benchmarking for temporal and spatiotemporal datasets which are increasingly riding the wave of deep learning performance boosts. There is a vast number of important problems which can be cast as a temporally structured problem, and being able to benchmark the growing number of specially designed architectures of increasing importance.





• ARC: Abstraction and Reasoning Challenge

This project works on the ARC Challenge created by Francois Chollet designed to push the boundaries of current methods for artificial intelligence towards the generalizability and reasoning of human level intelligence, highlighting the shortcomings of current deep learning approaches. I am exploring the limitations of data-hungry methods through a systematic set of experiments in this simplistic domain.





• Catan: Deep Reinforcement Learning

This project implements the board game CATAN which is a complex game involving planning, long-term decision-making, probabilistic value evaluation, and social trading amongst players. Next, this project will train reinforcement learning agents to play this complex board game. Currently, I have finished implementing the gameplay and am exploring different deep RL methods to solve this difficult problem.