Bryant McGill

Bryant McGill

Rewardless Learning: Human Proxy-Based Reinforcement (DeepRL) in Human Environments

Bryant McGill's avatar
Bryant McGill
Jul 06, 2025
∙ Paid

Soundcloud: Rewardless Learning: Human Proxy-Based Reinforcement (DeepRL) in Human Environments 🎧

This investigation was originally inspired by Lex Fridman’s MIT 6.S091: Introduction to Deep Reinforcement Learning—a course that, while technical in nature, subtly reveals the profound societal implications embedded in the architecture of artificial agents…

Keep reading with a 7-day free trial

Subscribe to Bryant McGill to keep reading this post and get 7 days of free access to the full post archives.

Already a paid subscriber? Sign in
© 2025 Bryant McGill
Privacy ∙ Terms ∙ Collection notice
Start your SubstackGet the app
Substack is the home for great culture