~Deep Q Network (DQN)
~Deep Q-Learning
~Actor-Critic and Policy Gradient
~Method Learning DDPG, TD3, and SAC
~Machine Learning and Python
~Supervised Learning: Classification and Regression
~Unsupervised Learning: Detecting Patterns
~Dimensionality Reduction
~Visualizing Data for Machine Learning
~Reinforcement Learning
~Bellman Equation and Dynamic Programming
~Monte Carlo (MC) Methods
~Temporal Difference Learning
~Multi-Armed Bandit(MAB) Problem