AI Agent Learns to Escape (deep reinforcement learning)

AI Warehouse · Beginner ·📐 ML Fundamentals ·3y ago
AI Teaches Itself How to Escape! In this video an AI Warehouse agent named Albert learns how to escape 7 rooms I've designed. The AI was 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. Albert's actions are controlled by a Neural Network that's updated after each attempt in order to try to give Albert more rewards and less punishments over time. Everything in this video (except for the music) was created entirely by myself using Unity. Check the pinned comment for more information on how the AI was trained! Current Subscribers: 57,579
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Physical Significance of Convolution
Understand the physical significance of convolution in signal processing and its relevance to real-world scenarios like hearing sound in a room
Medium · Data Science
How to Generate Synthetic Financial Data: A Practical Guide (Part 2)
Learn to generate synthetic financial data using deep generative models like GANs, Bayesian GANs, and Normalizing Flows
Medium · Machine Learning
Stepping into ML from backend engineering
Learn how to transition from backend engineering to machine learning with key concepts and skills
Medium · NLP
What Happens When an Algorithm Knows Your Taste Better Than You Do?
Learn how Spotify's algorithms can know your music taste better than you do, and why it matters for personalized recommendations
Medium · Machine Learning
Up next
Python Developer Roadmap For Beginners 2026 | Python Developer Skills | #Shorts | #Simplilearn
Simplilearn
Watch →