Hey everyone! We're excited to invite you to Carrot & Stick, a hands-on Reinforcement Learning Workshop happening this Saturday, March 7, at 2 PM in LA 002. Ever wondered how AI agents actually learn from their mistakes? This workshop breaks it down in the most intuitive way — rewards, penalties, and a whole lot of trial and error. Here's what we'll be covering: RL Basics – Understand how agents interact with environments, collect rewards, and improve over time; Monte Carlo Methods – Learn how agents estimate value through experience, without needing a model of the world; Q-Learning – Dive into one of the most popular RL algorithms and see how agents learn optimal decision-making step by step; and much more! 🦾 Robotic Arm Activity – Put your learning to the test with a hands-on session where you'll apply Q-Learning to control a robotic arm! No prerequisites needed — whether you're new to AI or just curious about how machines learn, this workshop is built for you. Oh- and make sure to bring your laptop :) Details at a glance: 📅 Date: Saturday, March 7 📍 Venue: LA 002 ⏰ Time: 2:00 PM For any questions, feel free to reach out: Aswath: 8657705317 Esha: 7013054542 See you there — come ready to try, fail, learn, and repeat! 🤖 Regards, Saravan Kumar | Srivathsa Thotakura Managers, Electronics and Robotics Club, 2025-26 Regards, Shahu Patil General Secretary, Technical Affairs 25–26, IIT Bombay Contact: +91 91460 50850 https://tech-iitb.org https://insti.app/org/techiitb