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@@ -168,13 +168,6 @@ class VideoRecordConfig:
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trajectory_name: str = "trajectory"
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@dataclass
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class WrapperConfig:
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"""Configuration for environment wrappers."""
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joint_masking_action_space: list[bool] | None = None
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@dataclass
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class EEActionSpaceConfig:
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"""Configuration parameters for end-effector action space."""
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@@ -187,7 +180,7 @@ class EEActionSpaceConfig:
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@dataclass
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class EnvWrapperConfig:
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class EnvTransformConfig:
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"""Configuration for environment wrappers."""
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ee_action_space_params: EEActionSpaceConfig = field(default_factory=EEActionSpaceConfig)
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@@ -212,7 +205,7 @@ class HILSerlRobotEnvConfig(EnvConfig):
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"""Configuration for the HILSerlRobotEnv environment."""
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robot: Optional[RobotConfig] = None
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wrapper: Optional[EnvWrapperConfig] = None
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wrapper: Optional[EnvTransformConfig] = None
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fps: int = 10
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name: str = "real_robot"
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mode: str = None # Either "record", "replay", None
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@@ -225,9 +218,8 @@ class HILSerlRobotEnvConfig(EnvConfig):
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push_to_hub: bool = True
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pretrained_policy_name_or_path: Optional[str] = None
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reward_classifier_pretrained_path: Optional[str] = None
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number_of_steps_after_success: int = (
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0 # For the reward classifier, to record more positive examples after a success
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)
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# For the reward classifier, to record more positive examples after a success
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number_of_steps_after_success: int = 0
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def gym_kwargs(self) -> dict:
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return {}
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@@ -266,7 +258,7 @@ class HILEnvConfig(EnvConfig):
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################# args from hilserlrobotenv
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reward_classifier_pretrained_path: Optional[str] = None
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robot: Optional[RobotConfig] = None
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wrapper: Optional[EnvWrapperConfig] = None
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wrapper: Optional[EnvTransformConfig] = None
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mode: str = None # Either "record", "replay", None
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repo_id: Optional[str] = None
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dataset_root: Optional[str] = None
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