Roy Wong·Nov 3Understanding Value Functions in Reinforcement Learning: From V and Q to the Advantage FunctionDon’t just memorize the equations. Understand what they are actually calculating.
Leon Acosta·Apr 16the nominal value fallacywe’ve confused a number as the definition of wealth, but that math doesn’t hold in traditional finance.
Rohan Roy·Dec 8, 2025Basics Of Reinforcement Learning — Bellman Equations, Model-Free Learning, and Monte Carlo MethodsIn the previous post, we defined the MDP — the map of the world our agent lives in. But defining the world isn’t enough; the agent needs…
Sanrajlachhiramka·Jul 14, 2025Ch-3: Finite Markov Decision Process (MDP)What is a Markov Decision Process?
Bwhiz·Dec 23, 2024Deriving the Bellman Equation for the Value FunctionThe Bellman equation is a foundational concept in reinforcement learning and dynamic programming, offering a recursive decomposition of the…A response icon2A response icon2
Heblinpriscilla·Dec 16, 2024Dynamic Programming (Value iteration, Policy iteration)Welcome back to another topic on RL. As a lot of people told me, my blog is too long to read, I get that and I’m shortening up with…
IndeMISTifybyMithun Vanniasinghe·Nov 1, 2024Least Squares Approaches To Estimating Value Functions in Reinforcement LearningThis article presents an alternative to the standard stochastic gradient descent (SGD) updates when dealing with task of value function…
Mainalibibek·May 19, 2024Why is deep learning suddenly taking off?It appears that when we plot a graph between performance and Amount of data, we get a contrasting result from traditional machine learning…
ayushtankha·Apr 2, 2024Reinforcement Learning — Value Function Approximation (6/100)Ms Data Science and Business Analytics (ESSEC x Centralesupelec) (6/100)
