trouble with fetching the logs
Unimax opened this issue · 2 comments
I am trying to recreate the figure 6 in the paper which show the effect of all the known techniques on performance for coinrun. Need help with the following if possible.
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starting new training just clear the directory and delete all previous logs!!
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the train with --test seems not to produce enough information on tensorboard. rew_mean_<run_id> is the mean reward for testing on random levels I suppose. training mean reward results are missing?
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resuming the training starts the episodes and total timestamps from 0 shouldn't it start from the previous numbers. (i can see the model is loaded and getting improved). its ends up with wrong graphs in the tensorboard.
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what changes come into mind if I try to apply DQN here?
Thanks in advance
How do we fetch the logs after testing
default dir is '/tmp/tensorflow'
use tensorboard to plot the logs
note: by default, it will remove all previous logs. idk why they wanted that.