AI Learns Red Light Green Light (reinforcement learning)

From the creator

AI Competes in Red Light Green Light! https://brilliant.org/AIWarehouse/ If you want to learn more about AI and deep reinforcement learning (how Albert is trained), there are amazing courses teaching those exact concepts on Brilliant! You can use my link to get a free 30 day trial with 20% off! I've personally gone through the course "Introduction to Neural Networks", and it's one of the best courses on Neural Networks I've ever seen. They're paying us to promote them, but they're genuinely a great service, I've had a Brilliant account for over 5 years and can't recommend it enough :) Download our free replay viewer to play around with the agents and learn more about how it all works (windows only)! https://aiwarehouse.dev/ Textures by Lowlypoly! Get over 50% off 5,000 hand-painted textures. https://lowlypoly.gumroad.com/l/5000StylizedTexturesMegapack In this video ten AI Warehouse agents compete in Red Light Green Light against each other. The AI were trained using Deep Reinforcement Learning, a method of Machine Learning which involves rewarding the agent for doing something correctly, and punishing it for doing anything incorrectly. The agents actions are controlled by Neural Networks that are updated after each attempt in order to try to give the AI more rewards and less punishments over time Thank you for watching :D Current Subscribers: 694,679

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Makers residency 4th edition

Your idea can be anything. At our last workshops, people built plant-based nutrition businesses, a way to measure planetary resilience, crochet headwear and a way to connect lonely people living in the same building. An asset manager went on to raise an additional £25M on their fund within nine months. The fourth workshop is a full day at KOKO with Nick Sarafa, learning to build with Claude Code. Bring the thing you keep meaning to start. We’ll bring the pizza.

◆ Fri 13 Nov 2026 ◆ KOKO, London
Makers residency 4th edition
Live event
Makers residency 4th edition
Fri 13 Nov 2026

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