Craftax

Craftax是一个用于开放式强化学习的高速基准数据集，由牛津大学开发。该数据集包含22个独特的成就，旨在评估算法在复杂、开放式环境中的性能。数据集通过GitHub提供，允许研究人员在有限的计算资源下进行实验。Craftax通过引入NetHack风格的机制扩展了Crafter的机制，要求深度探索、长期规划和记忆，以及对新情况的持续适应。Craftax is a high-speed benchmark dataset for open-ended reinforcement learning, developed by the University of Oxford. It contains 22 unique achievements designed to evaluate the performance of algorithms in complex, open-ended environments. The dataset is hosted on GitHub, enabling researchers to conduct experiments with limited computational resources. Craftax extends the mechanics of Crafter by introducing NetHack-style mechanisms, requiring AI agents to conduct deep exploration, perform long-term planning, maintain memory, and continuously adapt to novel scenarios.