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In refinforce_learn_qnet.py, the argument parser adds two arguments that the model doesn't take input to: max_episode_reward and warm_start_size. It adds both warm_start_size and warm_start_steps arguments instead of just warm_start_steps. Can be seen here.
warm_start_steps has a wrong description as well (seems to be copied from max_episode_reward). Its description is supposed to be the description of warm_start_size. Can be verified with its implementation in pl bolts
The text was updated successfully, but these errors were encountered:
sidhantls
changed the title
pl_examples reinforce_learn_qnet wrong argument variable and description in argparse
pl_examples reinforce_learn_qnet wrong argument name and description in argparse
Jan 6, 2021
🐛 Bug
In refinforce_learn_qnet.py, the argument parser adds two arguments that the model doesn't take input to:
max_episode_reward
andwarm_start_size
. It adds bothwarm_start_size
andwarm_start_steps
arguments instead of justwarm_start_steps
. Can be seen here.warm_start_steps
has a wrong description as well (seems to be copied frommax_episode_reward
). Its description is supposed to be the description ofwarm_start_size
. Can be verified with its implementation in pl boltsThe text was updated successfully, but these errors were encountered: