This is the syllabus for the course Optimal Control and Reinforcement Learning as taught in the Robotics Institute at Carnegie Mellon University.
This work is licensed under CC BY-NC-SA 4.0
License: Other
This is the syllabus for the course Optimal Control and Reinforcement Learning as taught in the Robotics Institute at Carnegie Mellon University.
This work is licensed under CC BY-NC-SA 4.0
It is absolutely outrageous to submit an issue to an open-sourced lecture series on GitHub, but I wanted to make one small suggestion, which is to include some suggested textbooks and readings in the Syllabus. I know, I know.
Otherwise, thank you so much for this course. It's been a primary resource for learning a subject that does not have much coverage on YouTube, MITOCW, etc. etc. The introduction to Julia has also been an eye-opener. I just love that I can ∇²f !!!!
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