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.internal.containers import (
RepeatedScalarFieldContainer as google___protobuf___internal___containers___RepeatedScalarFieldContainer,
)
from google.protobuf.message import (
Message as google___protobuf___message___Message,
)
from typing import (
Iterable as typing___Iterable,
Optional as typing___Optional,
)
from typing_extensions import (
Literal as typing_extensions___Literal,
)
builtin___bool = bool
builtin___bytes = bytes
builtin___float = float
builtin___int = int
class AgentActionProto(google___protobuf___message___Message):
DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
vector_actions = ... # type: google___protobuf___internal___containers___RepeatedScalarFieldContainer[builtin___float]
value = ... # type: builtin___float
def __init__(self,
*,
vector_actions : typing___Optional[typing___Iterable[builtin___float]] = None,
value : typing___Optional[builtin___float] = None,
) -> None: ...
@classmethod
def FromString(cls, s: builtin___bytes) -> AgentActionProto: ...
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"value",u"vector_actions"]) -> None: ...
else:
def ClearField(self, field_name: typing_extensions___Literal[u"value",b"value",u"vector_actions",b"vector_actions"]) -> None: ...