Using Machine Learning for Doing Rather Than Knowing - Practical Applications of RL in Industry

Explore a comprehensive lecture on practical applications of Reinforcement Learning (RL) in industrial settings, delivered by Dr. Harshad Khadilkar from TCS Research. Discover how modern industrial systems with real-time sensing capabilities can be enhanced through adaptive control algorithms, moving beyond traditional supervised and unsupervised learning approaches. Learn about the implementation of RL in real-world industrial operations, where it works alongside existing rules and constraints to improve system efficiency. Examine case studies that demonstrate how RL differs from its popular applications in gameplay, focusing instead on practical applications in supply chains, logistics, transportation, and energy systems. Gain insights from Dr. Khadilkar's extensive experience as a senior scientist at TCS Research, visiting associate professor at IIT Bombay, and associate researcher at RBCDSAI, IIT Madras, as he shares his expertise in control and optimization of large distributed systems.