ray/rllib/tuned_examples/a2c/cartpole-a2c-fake-gpus.yaml
Jun Gong 24976ef23a
[RLlib] Revert 41c9ef70. (#27243) (#27270)
Why are these changes needed?
Also:
Add validation to make sure multi-gpu and micro-batch is not used together.
Update A2C learning test to hit the microbatching branch.
Minor comment updates.
2022-07-29 12:02:23 -07:00

14 lines
315 B
YAML

cartpole-a2c-fake-gpus:
env: CartPole-v0
run: A2C
stop:
episode_reward_mean: 150
training_iteration: 200
config:
# Works for both torch and tf.
framework: tf
num_workers: 0
lr: 0.001
# Fake 2 GPUs.
num_gpus: 2
_fake_gpus: true