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SMAC环境安装比较复杂且对计算机要求较高,如果只是想体验下多智能体算法有没有简单一点的环境?

【设置策略和 NN 模型】章节链接不存在，点击后直接跳转到【快速上手】

使用自定义模型。要使用自定义模型，可以参考设置策略和 NN 模型。要以最少的代码更改使模型适应DI引擎的管道，模型的输出字典应包含key。'next_state'

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ERROR: Cannot install di-engine==0.1.0, di-engine==0.1.1, di-engine==0.2.0, di-engine==0.2.1, di-engine==0.2.2, di-engine==0.2.3, di-engine==0.3.0, di-engine==0.3.1, di-engine==0.4.0, di-engine==0.4.1, di-engine==0.4.2, di-engine==0.4.3, di-engine==0.4.4, di-engine==0.4.5 and di-engine==0.4.6 because these package versions have conflicting dependencies.

The conflict is caused by:
di-engine 0.4.6 depends on pettingzoo==1.12.0
di-engine 0.4.5 depends on pettingzoo==1.12.0
di-engine 0.4.4 depends on pettingzoo==1.12.0
di-engine 0.4.3 depends on pettingzoo==1.12.0
di-engine 0.4.2 depends on pettingzoo==1.12.0
di-engine 0.4.1 depends on pettingzoo==1.12.0
di-engine 0.4.0 depends on pettingzoo==1.12.0
di-engine 0.3.1 depends on pettingzoo==1.12.0
di-engine 0.3.0 depends on pettingzoo==1.12.0
di-engine 0.2.3 depends on torch<=1.10.0 and >=1.1.0
di-engine 0.2.2 depends on torch<=1.10.0 and >=1.1.0
di-engine 0.2.1 depends on torch<=1.10.0 and >=1.1.0
di-engine 0.2.0 depends on torch<=1.9.0 and >=1.3.1
di-engine 0.1.1 depends on torch<=1.8.0 and >=1.3.1
di-engine 0.1.0 depends on torch<=1.8.0 and >=1.3.1

To fix this you could try to:

1. loosen the range of package versions you've specified
2. remove package versions to allow pip attempt to solve the dependency conflict