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dd70720578
* bulk rename * deprecation warn * update doc * update fig * line length * rename * make pytest comptaible * fix test * fi sys * rename * wip * fix more * lint * update svg * comments * lint * fix use of batch steps
11 lines
454 B
YAML
11 lines
454 B
YAML
# This can reach 18-19 reward within 10 minutes on a Tesla M60 GPU (e.g., G3 EC2 node)
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# with 32 workers and 10 envs per worker. This is more efficient than the non-vectorized
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# configuration which requires 128 workers to achieve the same performance.
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pong-impala-vectorized:
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env: PongNoFrameskip-v4
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run: IMPALA
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config:
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rollout_fragment_length: 50
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train_batch_size: 500
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num_workers: 32
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num_envs_per_worker: 10
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