> For the complete documentation index, see [llms.txt](https://hujian.gitbook.io/deep-reinforcement-learning/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan.md).

# 开放的挑战

- [游戏通用性](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/you-xi-tong-yong-xing.md)
- [稀疏、延迟、欺骗性的回报](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/xi-shu-3001-yan-chi-3001-qi-pian-xing-de-hui-bao.md)
- [多智能体](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/duo-zhi-neng-ti.md)
- [终身适应](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/kuai-su-shi-ying.md)
- [像人类一样玩游戏](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/xiang-ren-lei-yi-yang-wan-you-xi.md)
- [可调节的性能等级](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/ke-diao-jie-de-xing-neng-deng-ji.md)
- [处理巨大的状态空间](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/chu-li-ju-da-de-zhuang-tai-kong-jian.md)
- [工业界应用](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/gong-ye-jie-ying-yong.md)
- [游戏开发的交互式工具](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/jiao-hu-shi-you-xi-kai-fa.md)
- [创造新的游戏](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/chuang-zao-xin-de-you-xi.md)
- [学习游戏的模型](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/xue-xi-you-xi-de-mo-xing.md)
- [计算资源](https://hujian.gitbook.io/deep-reinforcement-learning/fang-fa/kai-fang-de-tiao-zhan/ji-suan-zi-yuan.md)