Minecraft中的缩放模仿学习
Scaling Imitation Learning in Minecraft
摘要：
模仿学习是一种在沉浸式环境中学习感觉运动协调的强大技术家族。我们应用模仿学习在Minecraft环境中的硬探索问题上实现最先进的性能。我们报告的实验，突出了网络架构，损失函数，和数据增强的影响。我们方法的早期版本在NeurIPS 2019的MineRL竞赛中获得第二名。在这里，我们报告了更强的结果，可以作为未来参赛作品和相关研究的起点。我们的代码可在https://github.com/amiranas/minerl_imitation_learning上获得。
英文摘要：
Imitation learning is a powerful family of techniques for learning sensorimotor coordination in immersive environments. We apply imitation learning to attain state-of-the-art performance on hard exploration problems in the Minecraft environment. We report experiments that highlight the influence of network architecture, loss function, and data augmentation. An early version of our approach reached second place in the MineRL competition at NeurIPS 2019. Here we report stronger results that can be used as a starting point for future competition entries and related research. Our code is available at https://github.com/amiranas/minerl_imitation_learning.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
