ElegantRL is a reinforcement learning framework focused on expressing core RL algorithms with minimal complexity and maximum clarity. It provides implementations of popular model-free RL algorithms including PPO, DQN, SAC, TD3, A2C, DDPG, and GAE, built on PyTorch. The framework emphasizes parallel training capabilities across multiple GPUs while maintaining a small dependency footprint and clean code structure for educational and research purposes.