Reinforcement Learning: Dynamic Programming
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This is a detailed blog on Dynamic Programming, a collection of algorithms to compute optimal policies in Reinforcement Learning. This post will cover the detailed math concepts.
Blog posts
2025
Into the Diffusion World Part 1: DDPMs
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This is a detailed blog on Denoising Diffusion Probabilistic Models. The objective is to present a comprehensive theoretical and mathematical background on DDPMs.
2024
Rotations in Euclidean Space
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In this post, we’ll cover rotations in Euclidean Space.
Dynamics of Serial Robotic Manipulators
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In this post, we’ll cover the essential knowledge needed to compute the dynamics of a general rigid serial robotic manipulator. We’ll use the Euler-Lagrange equations to derive the dynamics of the manipulator.