With recent advances in machine learning and specifically in reinforcement learning (RL), many new problems have arised. Specifically, due to the rapid development of new RL algorithms, not enough efforts have been made into ensuring reproducible results and better benchmarking. This topic is the focus of this internship. We will be conducting different RL experiments to validate different sub-component of the overall pipeline and the effect of small system design details on the overall performance.
Disclaimer :
We aim to provide correct and reliable information about
upcoming events, but cannot accept responsibility for the text
of announcements or for the bona fides of event organizers.
Please feel free to contact us if you notice incorrect or
misleading information and we will attempt to correct it.