OpenAI's Q*?: Reinforcement Learning, Model-Based vs. Model-Free Methods, and Q-Learning

In this Brev.dev Concepts video, Harper Carroll (Head of AI/ML) covers the basics of reinforcement learning, exploration and exploitation, model-based vs. model-free methods, Q-learning, Q*, and temporal difference learning. It is accessible to those of all backgrounds, and includes a little math for those interested. Find me on 𝕏: https://twitter.com/HarperSCarroll Join our community on Discord: https://discord.gg/DndwhY6cjf AI/ML Tutorial Notebooks: https://github.com/brevdev/notebooks Intro: (0:00) Reinforcement Learning: (1:10) Exploration & Exploitation: (2:00) Model-Based Methods: (3:36) Model-Free Methods: (4:26) Temporal Difference Learning (estimating Q): (4:36) Q-Learning: (6:16) Q* at OpenAI?: (7:46) Conclusion: (8:24)