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# This can reach 18-19 reward within 10 minutes on a Tesla M60 GPU (e.g., G3 EC2 node)
# with 32 workers and 10 envs per worker. This is more efficient than the non-vectorized
# configuration which requires 128 workers to achieve the same performance.
pong-impala-vectorized:
env: PongNoFrameskip-v4
run: IMPALA
config:
sample_batch_size: 50
train_batch_size: 500
num_workers: 32
num_envs_per_worker: 10