tud-airlab / mppi-isaac

Model Predictive Path Integral Control using isaacgym for rollouts, gpu-accelerated
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Move all configuration parameters to YAML files and parse them in at runtime #1

Closed c-salmi closed 1 year ago

c-salmi commented 1 year ago

Ideally we want the code (python) files to stay unchanged even when configuration parameters. Therefore it's good practice to move the parameter to dedicated parameter files and read them in at runtime, this also allows to quickly change between different parameter settings or even autotune :thinking:

As a bonus we can add type annotation and parsing through python @dataclasses.

maxspahn commented 1 year ago

Closed in #3