Comments (2)
Hi,
When training make sure you use a configuration file with a limited number of steps per episode. All environments in the config
folder are set to t: 0
which means that episodes only end when a reward is collected (makes it easier to use in play mode). This combined with the current default configuration file that tries to spawn every available object, makes it very unlikely to have a successful training.
I will change the default configuration file for training so that you can actually get a trained agent by simply running train.py
. I will push this in the coming days.
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Closing as v0.2 fixes this issue
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