Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目,它使游戏和模拟能够作为训练智能代理的环境。
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# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.message import (
Message as google___protobuf___message___Message,
)
from typing import (
Optional as typing___Optional,
Text as typing___Text,
)
from typing_extensions import (
Literal as typing_extensions___Literal,
)
class DemonstrationMetaProto(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
api_version = ... # type: int
demonstration_name = ... # type: typing___Text
number_steps = ... # type: int
number_episodes = ... # type: int
mean_reward = ... # type: float
def __init__(self,
*,
api_version : typing___Optional[int] = None,
demonstration_name : typing___Optional[typing___Text] = None,
number_steps : typing___Optional[int] = None,
number_episodes : typing___Optional[int] = None,
mean_reward : typing___Optional[float] = None,
) -> None: ...
@classmethod
def FromString(cls, s: bytes) -> DemonstrationMetaProto: ...
def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
if sys.version_info >= (3,):
def ClearField(self, field_name: typing_extensions___Literal[u"api_version",u"demonstration_name",u"mean_reward",u"number_episodes",u"number_steps"]) -> None: ...
else:
def ClearField(self, field_name: typing_extensions___Literal[u"api_version",b"api_version",u"demonstration_name",b"demonstration_name",u"mean_reward",b"mean_reward",u"number_episodes",b"number_episodes",u"number_steps",b"number_steps"]) -> None: ...