openrl
OpenRL is an adaptable and efficient open-source framework meant for reinforcement learning research, encompassing tasks like single-agent, multi-agent, offline RL, and natural language processing, using PyTorch for straightforwardness and adaptability. It features a unified interface, supports various algorithms, and offers training enhancement methods. The framework connects seamlessly with vital tools like DeepSpeed and Hugging Face and caters to environments like Gymnasium and StarCraft II. Suitable for both academic and practical applications, it ensures straightforward model and data management, detailed documentation, and offers a vibrant community for engagement.
