#DI-engine

DI-engine Docs, produced by OpenDILab, offers educational resources on Decision Intelligence and reinforcement learning. It covers DI-engine's introduction, reinforcement learning concepts, algorithm classifications, environment examples, and API documentation. Available in English and Chinese, it serves global audiences seeking to enhance understanding in these fields.

DI-engine offers a versatile platform for reinforcement learning, integrating asynchronous-native task abstractions and core decision-making components such as Environment, Policy, and Model. Utilizing PyTorch and JAX, it supports a wide range of RL algorithms including basic, multi-agent, and model-based types. Targeted at both academic research and prototype development, it delivers modular tools and training resources, optimized for large-scale reinforcement learning tasks across various environments.