Comments (2)
Please correct me if I'm wrong, but @rustyju I think nb_max_episode_steps
in the .fit() method actually limits the max steps it can take (which was set to 10,000). Though the files themselves have overlaps, but I think during training the data after 10K ticks are never seen by the agent.
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@xiaoyongzhu I find this logic about nb_max_episode_steps
in keras-rl
's library file core.py
.
if nb_max_episode_steps and episode_step >= nb_max_episode_steps - 1:
# Force a terminal state.
done = True
It means that one episode will end when episode_step > nb_max_episode_steps
.
Train's data is from 0 to 70K, and test's data is from 0 to 16K.
So they have common data range, 0~10K.
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