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ray-project--ray/rllib/examples/_old_api_stack/algorithms/atari-impala-multi-gpu.yaml
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2026-07-13 13:17:40 +08:00

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# @OldAPIStack
# Runs on a p2.8xlarge single head node machine.
# Should reach ~400 reward in about 1h and after 15-20M ts.
atari-impala:
env: ale_py:ALE/Breakout-v5
run: IMPALA
config:
# Works for both torch and tf.
framework: torch
# Make analogous to old v4 + NoFrameskip.
env_config:
frameskip: 1
full_action_space: false
repeat_action_probability: 0.0
rollout_fragment_length: 50
train_batch_size: 4000
num_gpus: 4
num_env_runners: 31
num_gpus_per_env_runner: 0 # works also for partial GPUs (<1.0) per worker
num_envs_per_env_runner: 5
clip_rewards: True
lr_schedule: [
[0, 0.0005],
[20000000, 0.000000000001],
]