math

Math Concepts

Paper	Notes	Author	Summary
Convexity and Convergence in Gradient Descent	HackMD	Sharath	In this, we talk about strong and smooth convex functions and their convergence rates in case of gradient descent
Notes on Stability of Dynamical Systems	HackMD	Sharath	In this notes, we discuss discrete and continuous dynamical systems and their stability properties
Policy Gradient Theorem	HackMD	Raj	Derivation and explanation for the policy gradient theorem in Reinforcement Learning
Reproducing Kernel Hilbert Spaces	HackMD	Sharath	These notes review some of the fundamental concepts of linear algebra like vector spaces, inner product spaces, etc., and then introduces the basic concepts of RKHS.
Guaranteed computation of robot trajectories	HackMD	Uddesh	A contractor-based approach is proposed for guaranteed integration of state equations. The framework is based on the use of tubes as envelopes of feasible trajectories.