This is the fifth chapter in my ongoing note-problem solving series of Rudin’s Real and Complex Analysis. This chapter covers various problem solving “techniques” for banach spaces, which is (somewhat) similar to the previous chapter on Hilbert spaces. Needless to say, I’ll be glad for the change of pace when I cover complex measures in the next chapter.
Today I watched lecture 7 from Berkeley’s deep rl course, which covered various implementation tricks with DQN and general Q-learning methods.
I finished the fourth chapter in Rudin’s Real and Complex Analysis, which covered elementary Hilbert Space Theory. This was by far the least abstract chapter and I really appreciate the break from topological and metric spaces. However, there were many questions which, in the end, did revolve around these concepts, but proofs were more computation and “show it converges” proofs. My writeup can be found below:
Today I watched lecture 6 from Berkeley’s deep rl course, which covered various value functions.
I’ve covered the third chapter in Rudin’s Real and Complex Analysis. I really enjoyed the throwback to Jensen’s Theorem, but also appreciated how it was presented in a different (analysis) light. In terms of actual concepts, this section focused less on the theoretical topological introduction and more on metric spaces and various computations. This made it more fun to work with, as I didn’t feel constrained by the specific properties of various definitions as in the previous sections.