ray/rllib/tuned_examples/pong-apex.yaml

# This can be expected to reach 20.8 reward within an hour when using a V100 GPU
# (e.g. p3.2xl instance on AWS, and m4.4xl workers). It also can reach ~21 reward
# within an hour with fewer workers (e.g. 4-8) but less reliably.
pong-apex:
    env: PongNoFrameskip-v4
    run: APEX
    config:
        target_network_update_freq: 50000
        num_workers: 32
        ## can also enable vectorization within processes
        # num_envs_per_worker: 4
        lr: .0001
        gamma: 0.99