This repository provides Tensorflow implementations of core reinforcement learning algorithms including Q-learning variants, policy gradient methods, and deep Q-networks. The implementations are structured as Jupyter notebooks designed to accompany a Medium tutorial series on reinforcement learning, covering classic environments like CartPole and contextual bandit problems.