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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# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: mlagents/envs/communicator_objects/command_proto.proto
import sys
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name="mlagents/envs/communicator_objects/command_proto.proto",
package="communicator_objects",
syntax="proto3",
serialized_options=_b("\252\002\034MLAgents.CommunicatorObjects"),
serialized_pb=_b(
"\n6mlagents/envs/communicator_objects/command_proto.proto\x12\x14\x63ommunicator_objects*-\n\x0c\x43ommandProto\x12\x08\n\x04STEP\x10\x00\x12\t\n\x05RESET\x10\x01\x12\x08\n\x04QUIT\x10\x02\x42\x1f\xaa\x02\x1cMLAgents.CommunicatorObjectsb\x06proto3"
),
)
_COMMANDPROTO = _descriptor.EnumDescriptor(
name="CommandProto",
full_name="communicator_objects.CommandProto",
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name="STEP", index=0, number=0, serialized_options=None, type=None
),
_descriptor.EnumValueDescriptor(
name="RESET", index=1, number=1, serialized_options=None, type=None
),
_descriptor.EnumValueDescriptor(
name="QUIT", index=2, number=2, serialized_options=None, type=None
),
],
containing_type=None,
serialized_options=None,
serialized_start=80,
serialized_end=125,
)
_sym_db.RegisterEnumDescriptor(_COMMANDPROTO)
CommandProto = enum_type_wrapper.EnumTypeWrapper(_COMMANDPROTO)
STEP = 0
RESET = 1
QUIT = 2
DESCRIPTOR.enum_types_by_name["CommandProto"] = _COMMANDPROTO
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
DESCRIPTOR._options = None
# @@protoc_insertion_point(module_scope)