chore: import upstream snapshot with attribution
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# @OldAPIStack
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# This can reach 18-19 reward within 10 minutes on a Tesla M60 GPU (e.g., G3 EC2 node):
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# 128 workers -> 8 minutes
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# 32 workers -> 17 minutes
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# 16 workers -> 40 min+
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# See also: pong-impala-fast.yaml, pong-impala-vectorized.yaml
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pong-impala:
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env: ale_py:ALE/Pong-v5
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run: IMPALA
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config:
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# Make analogous to old v4 + NoFrameskip.
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env_config:
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frameskip: 1
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full_action_space: false
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repeat_action_probability: 0.0
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rollout_fragment_length: 50
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train_batch_size: 500
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num_env_runners: 128
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num_envs_per_env_runner: 1
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