Blogs
Thoughts and notes on robotics, optimal control, reinforcement learning, ML, and generative models
2026
Agentic AI
Let AI Agents Debate with Each Other
An experiment I did to cross-validate answers by AI agents
2025
Generative Model
Conditional Variational Autoencoder (CVAE)
Explain how CVAE works, extending VAE with conditioning
2024
Generative Model
Sampling with the Score
Explain how to sample with the score function with examples
Generative Model
Sampling From a Distribution
Explain how to sample from a given distribution with examples
2023
Inference
Control, Inference and Statistical Physics
Unifying perspectives from control, inference, and physics
2020
2019
Autonomous Vehicles
Safe Driving Speed for Self-Driving Car
Determining safe operational speeds for autonomous vehicles
Reinforcement Learning
IRL as Variational Inference
Inverse reinforcement learning through the lens of variational methods
2018
Autonomous Vehicles
Self-driving Car From An Engineering Perspective
Engineering challenges in autonomous vehicle development
2017
Optimal Control
Cool Things in Optimal Control and Physics
Connections between optimal control and fundamental physics
2016
Autonomois Vehicle
Decel-limited Constant-jerk Stopping Profile
How to generate stopping profile wit limits on acceleration and jerk