Task-Agnostic Continual Reinforcement Learning: In Praise of a Simple Baseline - June 10, 2022 скачать в хорошем качестве

Task-Agnostic Continual Reinforcement Learning: In Praise of a Simple Baseline - June 10, 2022

Guest speaker Massimo Caccia introduces a simple baseline for task-agnostic continual reinforcement learning (TACRL). He first gives an overview of continual learning, reinforcement learning, and TACRL. He then goes through empirical findings that show how different TACRL methods can be just as performant as common task-aware and multi-task methods. Papers: “Task-Agnostic Continual Reinforcement Learning: In Praise of a Simple Baseline”: https://arxiv.org/abs/2205.14495 "Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments": https://www.frontiersin.org/articles/... - - - - 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. Subscribe to our News Digest for the latest news about neuroscience and artificial intelligence: https://numenta.com/news-digest/ Subscribe to our Newsletter for the latest Numenta updates: https://tinyurl.com/NumentaNewsletter Our Social Media:   / numenta     / officialnumenta     / numenta   Our Open Source Resources: https://github.com/numenta https://discourse.numenta.org/ Our Website: https://numenta.com/