“Towards Continual Reinforcement Learning: A Review and Perspectives” Paper Review - Feb 22, 2021

Our research intern Akash Velu gives an overview of continual reinforcement learning, following the ideas from the paper “Towards Continual Reinforcement Learning: A Review and Perspectives” by Kheterpal et al. He first goes over the basics of reinforcement learning (RL), and discusses why RL is a good setting to study continual learning. He then covers the different aspects of continual RL, the various approaches to solving continual RL problems, and touches upon the potential for neuroscience to impact the development of continual RL algorithms. Paper: - - - - - Numenta is leading the new era of machine intelligence. Our deep experience in theoretical neuroscience research has led to tremendous discoveries on how the brain works. We have developed a framework called the Thousand Brains Theory of Intelligence that will be fundamental to advancing the state of artificial intelligence and machine learning. By applying this theory to existing deep learning systems,