Curious how agents learn to play games, control robots, or make decisions from trial and error? Come join ACM AI for an Introduction to Reinforcement Learning (RL) — no prior RL experience needed! In this workshop, we’ll walk through: 🧠 What reinforcement learning is 🎯 The core ideas: agents, environments, states, actions, rewards 🎮 Classic RL examples (like game-playing agents) 📊 How RL fits into the bigger AI/ML picture We’ll break things down in a beginner-friendly, intuitive way, with diagrams, examples, and time for questions — perfect if you’ve heard of RL but never quite knew how it works. Whether you’re into robotics, games, or just curious about how machines can learn from feedback, this is a great place to start your RL journey 🚀