Pong Reinforcement Learning Project

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A comprehensive implementation of multiple reinforcement learning algorithms for training agents to play Atari Pong. This project includes pytorch implementations of Deep Q-Network (DQN), Policy Gradient, and Proximal Policy Optimization (PPO) algorithms.