[英]Which OpenAI gym environment should be used for solve the shortest route problem?
I am trying to fine the shortest route between two nodes using reinforcement learning.我正在尝试使用强化学习来确定两个节点之间的最短路线。 I am not sure what environment to use.
我不确定要使用什么环境。 I have found this particular environment and am not sure if I am going in the right direction.
我发现了这个特殊的环境,但不确定我是否朝着正确的方向前进。 Can anybody please help.
任何人都可以帮忙。 Can anybody please suggest a few python OpenAI gym environments I can use.
任何人都可以建议一些我可以使用的 python OpenAI 健身房环境。
I am trying to do the same things too.我也在尝试做同样的事情。 But currently, none of open-sourced OpenAI gym environments is applicable.
但目前,没有一个开源的 OpenAI 健身房环境是适用的。 So I suggest you create your own environment (it is not too hard).
所以我建议你创建自己的环境(这并不难)。 Here is what I found:
这是我发现的:
check_env
in stablebaseline3 for this environment will warn you the state
/ observation_space
for step()
and reset()
are not work well.check_env
会警告您state
/ observation_space
的step()
和reset()
无法正常工作。
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