This repository contains TensorFlow implementations of fundamental reinforcement learning algorithms. The code covers Deep Q Networks (DQN), Double DQN, Deep Deterministic Policy Gradient (DDPG), REINFORCE, and Actor-Critic methods. Each algorithm is implemented following published papers and evaluated in OpenAI Gym environments. The project explicitly serves educational purposes to help learn deep RL concepts.