Learnings
Here I am showcasing the current advance courses/tutorials I am following. My lecture notes and codes will soon be uploaded in the respective github repositories
🕹️ Control
📘 Optimal Control – CMU (Zachary Manchester) (Ongoing)
- Playlist: Optimal Control (CMU 16-745) 2024
- Lecture Notes: notes available on course github
- Description: The course covers both control and reinforcement learning with some brief on numerical analysis. So far I have followed the first 3 lectures of this series and wrote the codes in Julia.
🤖 Reinforcement Learning
📘 The FASTEST introduction to Reinforcement Learning on the internet - Gonkee
- Video: YouTube Link
- Description: This crash course covers the theory and underlying concepts on reinforcement learning just enough to get started. I highly recommend watching this video thoroughly before jumping into the wagon of RL.
📘 Reinforcement Learning by Sentdex
- Playlist: YouTube Link
- Description: hands on programming for RL in python. The playlist was made on 2019 (sorry if I’m wrong) and some of the commands and libraries have changed. I will upload my codes which I have modified based on the current dependencies.