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# commands use to training an ANN policy to play the Atari game of breakout using parallelized resources of CPU and GPU | |
# After about 16 hours of training on an i9-9900k (half used by GIMPS prime number search project) | |
# with an Nvidia GeForce GTX-1060 that is around 50% used intermittantly. | |
# watch gpu utilization with | |
# nvidia-smi --query-gpu=utilization.gpu --format=csv -lms | |
# parameters used are taken from ray/rllib/tuned_examples/ppo/atari-ppo.yaml | |
# this will create a checkpoint of policy network weights every 100 training iterations |