mhauskn/dqn-hfo

reproduce problem: env is running!

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Dear mhauskn:

I want to use tensorflow to reproduce this experiment. But I find some problem.The most import is agent and env use network to connect, so when I training the policy, the env is runing! And when I use network to infer the action(need some time to cal), but the env is also runing!

so how to control the env waiting the agent?

Thx!

Hi, when I want to look this effect, I find the simulator isn't run, but I can get some log in term.

such as: I run my code, agent is stop in the simulator, but I can get diff log (I print the state info, action and so on), what happen?

maybe render module have some issue, other module is fine.