Published Apr 11, 2022
Hierarchical and Continual RL with Doina Precup - #567
Dive into the world of reinforcement learning with expert Doina Precup as she unpacks the nuances of continual and hierarchical RL, from managing sample complexity to translating preferences into rewards, and drawing intriguing parallels between RL and CNNs in solving complex tasks.
Topics covered
Popular Clips
Episode Highlights
Related Episodes
Advancements in Machine Learning with Sergey Levine - #355
Answers 383 questions
Upside-Down Reinforcement Learning with Jürgen Schmidhuber - #357
Answers 383 questions
Reinforcement Learning for Personalization at Spotify with Tony Jebara - 609
Answers 383 questions
Reinforcement Learning Deep Dive with Pieter Abbeel - #28
Answers 383 questions
Trends in Reinforcement Learning with Simon Osindero - TWiML Talk #217
Answers 383 questions
Deep Reinforcement Learning for Game Testing at EA with Konrad Tollmar - #517
Answers 383 questions
Trends in Reinforcement Learning with Chelsea Finn - #335
Answers 383 questions
Advancing Deep Reinforcement Learning with NetHack, w/ Tim Rocktäschel - #527
Answers 383 questions
