This repository provides concise PyTorch implementations of deep reinforcement learning algorithms. It covers value-based methods (DQN, Rainbow DQN), policy gradient methods (REINFORCE), actor-critic methods (A2C, PPO for both discrete and continuous action spaces), and off-policy actor-critic methods (DDPG, TD3, SAC). The implementations include RNN variants with LSTM and GRU for sequential decision problems.