Siddarth Chandrasekar
I am a graduate student at the Computing Science department at the University of Alberta. I work on the intersection of representation learning and Reinforcement Learning with Marlos C. Machado, particularly hierarchical RL. My current research focuses on effectively generating new behaviors by leveraging learned options.
Previously, I was a Post-Baccalaureate Student at the RBCDSAI, working under the supervision of Prof. Ravindran. And before that, I spent some time at the SPIRE lab, IISc Bangalore, and the NLP Lab, IIT Patna. I completed my undergrad at IIIT-DM in Electronics and Communication Engineering.
Reward-Aware Proto-Representations In Reinforcement Learning - NeurIPS, 2025
Towards An Option Basis To Optimize All Rewards - RLBRew, RLC 2025