Multi-Task Reinforcement Learning with Dendrites Project Overview - June 9, 2021
Channel: Numenta
Date: 2021-06-15

Numenta’s intern Akash Velu discusses the project he has done over the course of his time at Numenta. Building on the key component of the Thousand Brains Theory of Intelligence, his work focuses on multi-task reinforcement learning using dendritic networks to achieve strong performance. In this presentation, he talks about the challenges, codebase, and results obtained through various environments. He then explores the next steps for the project such as experimenting with different dendrite configurations and incorporating more elements of sparsity. 
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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, we are addressing today’s bottlenecks while enabling tomorrow’s applications. 

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