[Port HIL-SERL] Adjust Actor-Learner architecture & clean up dependency management for HIL-SERL (#722)
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committed by
Michel Aractingi
parent
85242cac67
commit
e1d55c7a44
@@ -41,11 +41,16 @@ class SACConfig:
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)
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input_normalization_params: dict[str, dict[str, list[float]]] = field(
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default_factory=lambda: {
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"observation.image": {"mean": [[0.485, 0.456, 0.406]], "std": [[0.229, 0.224, 0.225]]},
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"observation.image": {
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"mean": [[0.485, 0.456, 0.406]],
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"std": [[0.229, 0.224, 0.225]],
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},
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"observation.state": {"min": [-1, -1, -1, -1], "max": [1, 1, 1, 1]},
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}
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)
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output_normalization_modes: dict[str, str] = field(default_factory=lambda: {"action": "min_max"})
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output_normalization_modes: dict[str, str] = field(
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default_factory=lambda: {"action": "min_max"}
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)
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output_normalization_params: dict[str, dict[str, list[float]]] = field(
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default_factory=lambda: {
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"action": {"min": [-1, -1], "max": [1, 1]},
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@@ -54,9 +59,8 @@ class SACConfig:
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# TODO: Move it outside of the config
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actor_learner_config: dict[str, str | int] = field(
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default_factory=lambda: {
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"actor_ip": "127.0.0.1",
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"port": 50051,
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"learner_ip": "127.0.0.1",
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"learner_host": "127.0.0.1",
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"learner_port": 50051,
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}
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)
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camera_number: int = 1
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