Reinforcement Learning Crash Course - How do RL agents really learn? | Reinforcement Learning Part-2

In this video, we present the fundamental algorithms that make Reinforcement Learning as powerful as it is today. The ideas, which originated several years ago, still find their way into today's state-of-the-art algorithms. That's why we are dedicating a video to these algorithms. Happy Learning! Intro Example Courtesy: https://youtu.be/8sO7VS3q8d0 Reinforcement Learning Book by Sutton and Barto: http://incompleteideas.net/book/the-book.html Free Reinforcement Learning Course from IIT Madras: https://nptel.ac.in/courses/106106143 Music: bensound.com ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 👍If you find this video helpful, consider giving it a thumbs up and subscribing for more educational videos on data science! 💭Share your thoughts, experiences, or questions in the comments below. I love hearing from you! ⌚Time Stamps⌚ 0:00 - Intro 0:43 - MDPs 2:00 - Model 4:15 - Explore-Exploit 5:08 - Dynamic Programming 10:40 - Monte Carlo Methods 14:05 - TD Methods 15:49 - Driving Home Example 19:40 - SARSA 22:30 - Q-Learning 23:14 - Comparing SARSA and Q-Learning 24:31 - Outro