./scripts/glearn train space_invaders

./scripts/glearn train space_invaders_cnn

./scripts/glearn train mnist

./scripts/glearn train mnist_vae

./scripts/glearn train mnist_cvae

./scripts/glearn train mnist_gan

./scripts/glearn train mnist_vae_gan

./scripts/glearn train mnist_dcgan

./scripts/glearn train cifar10

./scripts/glearn train digit_repeat

./scripts/glearn train ptb

./scripts/glearn train mountain_car_dqn

./scripts/glearn train mountain_car_a2c

./scripts/glearn train mountain_car_sac

Rendering is disabled during training by default, and enabled by default during evaluation. You can enable rendering with: ./scripts/glearn train ... --render

You can enable debugging information with: ./scripts/glearn train ... --debug

There are also various debug options that can be enabled in the experiment config. The _base.yaml file has most of these listed, which can be imported into another config.

This environment variable can be used to log TF memory info: TF_CPP_MIN_VLOG_LEVEL=3

./scripts/glearn train ... --version=VERSION VERSION is which params to load. It can be an int or string. If int, then autosaves to same VERSION.

./scripts/glearn train ... --profile OR python utils/profile.py --path=/path/to/profile_100