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How to analyze the data after being successfully trained.
See original GitHub issueI’m sorry to bother you again, but I can’t find the way to analyze the traning data . I wanna watch the results of the DQNAgent method ,and how good it is.
[rl_agents.trainer.evaluation:INFO] Saved DQNAgent model to /home/zhao/gym/rl-agents-master/scripts/out/HighwayEnv/DQNAgent/run_20200406-223934_3509/checkpoint-999.tar [rl_agents.trainer.evaluation:INFO] Saved DQNAgent model to /home/zhao/gym/rl-agents-master/scripts/out/HighwayEnv/DQNAgent/run_20200406-223934_3509/checkpoint-final.tar
So ,you can see it has been completely traind . Then , I use the command python3 analyze.py run out/HighwayEnv/DQNAgent/run_20200406-223934_3509 to analyze the trained model. But I get this error
NotADirectoryError: [Errno 20] Not a directory: out/HighwayEnv/DQNAgent/run_20200406-223934_3509/openaigym.video.0.3509.video000000.meta.json
Can you tell me how to analyze the trained model , and in which way can I see the results of the trained model ?
Issue Analytics
- State:
- Created 3 years ago
- Comments:13 (5 by maintainers)
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The tfeents file is well , and I guess the reason is that the tenserboard or tensorflow of my linux server can’t work , normally .Becasue it works well on another linux server. Thanks for your attention.
Hi @zhaoworking, I’m sorry I missed your previous post. If you still have questions, please feel free to ask!