Dynamic Programming - Planning with a Perfect Model
Introduction to Dynamic Programming: Policy Evaluation, Policy Iteration, Value Iteration and Generalized Policy Iteration
16 min read
FeaturedReinforcement LearningDemo
Welcome to TensorWrites
Documenting my journey as an AI engineer through experiments, readings, interactive explanations, and systems built from scratch.
Posts · Page 2
Finite Markov Decision Processes - Sequential Decision Making
Introduction to sequential decision-making in reinforcement learning, including agent–environment interaction, rewards, returns, value functions, and Bellman equations with intuitive example.
14 min read
Reinforcement Learning
From Zero to 250M: How I Built the STE Dataset to Train a Tiny LLM from Scratch
The story of building a Simple Thoughts Experiments (STE) dataset from scratch.
13 min read
FeaturedLLMGenerative AI
Multi-armed Bandits : Introducing evaluative aspect to RL
Understanding the multi-armed bandit problem and how to solve it using reinforcement learning alongwith interactive demo. Chapter 3 of Reinforcement Learning: An Introduction by Sutton and Barto
11 min read
FeaturedReinforcement LearningDemo
From Minimax to Reinforcement Learning : Why RL wins at Tic-Tac-Toe ?
Understanding how different algorithms plays Tic-Tac-Toe and why RL wins at it. Interactive demo included!
11 min read
Reinforcement LearningDemo
Introduction to Reinforcement Learning
A comprehensive introduction to reinforcement learning from the book : Reinforcement Learning: An Introduction by Sutton and Barto
9 min read
Reinforcement Learning