In this post, We will review the process of Likelihood Estimation. Through this post, we will optimize Poisson Regression with gradient descent algorithm and Newton-Raphson methods.

In this post, We will take a hands-on-lab of Monte Carlo Policy Gradient (also known as REINFORCE) on openAI gym CartPole-v0 environment. This is the coding exercise from udacity Deep Reinforcement Learning Nanodegree.

In this post, We will take a hands-on-lab of Cross-Entropy Methods (CEM for short) on openAI gym MountainCarContinuous-v0 environment. This is the coding exercise from udacity Deep Reinforcement Learning Nanodegree.

In this post, We will take a hands-on-lab of Simple Deep Q-Network (DQN) on openAI LunarLander-v2 environment. This is the coding exercise from udacity Deep Reinforcement Learning Nanodegree.