PFRL is a deep reinforcement learning library that provides implementations of various state-of-the-art RL algorithms using PyTorch. It supports discrete and continuous action spaces, recurrent models, batch training, and includes pretrained models. The library offers examples for Atari 2600 and OpenAI Gym environments, making it suitable for training agents in diverse RL scenarios.