-
Notifications
You must be signed in to change notification settings - Fork 4.4k
Description
I'm running experiments on an environment with visual observations on Ubuntu using the Linux Unity Editor Beta, ML-Agents 0.4, and control via a Jupyter notebook. The memory footprint of the environment process seems to be increasing linearly with time when I have the visual observations enabled, and is constant when I disable them.
Any ideas why this might be? The environment itself does very little - it's basically just some rigidbody physics where agent actions control a camera and tries to follow objects.
It may or may not be related, but when I close an environment using close() and then try to open a new one, rather than using reset() to start a new trial, I get a OSError: Broken pipe and the new environment starts to run in real time without waiting for act() calls.