DAPO: An Open-Source RL System from ByteDance Seed and Tsinghua Air

DAPO is an open-source reinforcement learning system developed by ByteDance and Tsinghua University's SIA, providing a modular and flexible framework for various RL tasks. It's built on PyTorch and allows for distributed training and decentralized monitoring. The system's architecture consists of a core module and a set of plug-ins for tasks such as buffer management, exploration, and reward design. DAPO is released on GitHub with documentation and examples available.