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 the protocol buffer compiler. DO NOT EDIT!
# source: mlagents_envs/communicator_objects/unity_rl_input.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
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
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from mlagents_envs.communicator_objects import agent_action_pb2 as mlagents__envs_dot_communicator__objects_dot_agent__action__pb2
from mlagents_envs.communicator_objects import command_pb2 as mlagents__envs_dot_communicator__objects_dot_command__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='mlagents_envs/communicator_objects/unity_rl_input.proto',
package='communicator_objects',
syntax='proto3',
serialized_pb=_b('\n7mlagents_envs/communicator_objects/unity_rl_input.proto\x12\x14\x63ommunicator_objects\x1a\x35mlagents_envs/communicator_objects/agent_action.proto\x1a\x30mlagents_envs/communicator_objects/command.proto\"\xfe\x02\n\x11UnityRLInputProto\x12P\n\ragent_actions\x18\x01 \x03(\x0b\x32\x39.communicator_objects.UnityRLInputProto.AgentActionsEntry\x12\x33\n\x07\x63ommand\x18\x04 \x01(\x0e\x32\".communicator_objects.CommandProto\x12\x14\n\x0cside_channel\x18\x05 \x01(\x0c\x1aM\n\x14ListAgentActionProto\x12\x35\n\x05value\x18\x01 \x03(\x0b\x32&.communicator_objects.AgentActionProto\x1aq\n\x11\x41gentActionsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12K\n\x05value\x18\x02 \x01(\x0b\x32<.communicator_objects.UnityRLInputProto.ListAgentActionProto:\x02\x38\x01J\x04\x08\x02\x10\x03J\x04\x08\x03\x10\x04\x42%\xaa\x02\"Unity.MLAgents.CommunicatorObjectsb\x06proto3')
,
dependencies=[mlagents__envs_dot_communicator__objects_dot_agent__action__pb2.DESCRIPTOR,mlagents__envs_dot_communicator__objects_dot_command__pb2.DESCRIPTOR,])
_UNITYRLINPUTPROTO_LISTAGENTACTIONPROTO = _descriptor.Descriptor(
name='ListAgentActionProto',
full_name='communicator_objects.UnityRLInputProto.ListAgentActionProto',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='value', full_name='communicator_objects.UnityRLInputProto.ListAgentActionProto.value', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=365,
serialized_end=442,
)
_UNITYRLINPUTPROTO_AGENTACTIONSENTRY = _descriptor.Descriptor(
name='AgentActionsEntry',
full_name='communicator_objects.UnityRLInputProto.AgentActionsEntry',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='key', full_name='communicator_objects.UnityRLInputProto.AgentActionsEntry.key', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='value', full_name='communicator_objects.UnityRLInputProto.AgentActionsEntry.value', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=_descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001')),
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=444,
serialized_end=557,
)
_UNITYRLINPUTPROTO = _descriptor.Descriptor(
name='UnityRLInputProto',
full_name='communicator_objects.UnityRLInputProto',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='agent_actions', full_name='communicator_objects.UnityRLInputProto.agent_actions', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='command', full_name='communicator_objects.UnityRLInputProto.command', index=1,
number=4, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='side_channel', full_name='communicator_objects.UnityRLInputProto.side_channel', index=2,
number=5, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_UNITYRLINPUTPROTO_LISTAGENTACTIONPROTO, _UNITYRLINPUTPROTO_AGENTACTIONSENTRY, ],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=187,
serialized_end=569,
)
_UNITYRLINPUTPROTO_LISTAGENTACTIONPROTO.fields_by_name['value'].message_type = mlagents__envs_dot_communicator__objects_dot_agent__action__pb2._AGENTACTIONPROTO
_UNITYRLINPUTPROTO_LISTAGENTACTIONPROTO.containing_type = _UNITYRLINPUTPROTO
_UNITYRLINPUTPROTO_AGENTACTIONSENTRY.fields_by_name['value'].message_type = _UNITYRLINPUTPROTO_LISTAGENTACTIONPROTO
_UNITYRLINPUTPROTO_AGENTACTIONSENTRY.containing_type = _UNITYRLINPUTPROTO
_UNITYRLINPUTPROTO.fields_by_name['agent_actions'].message_type = _UNITYRLINPUTPROTO_AGENTACTIONSENTRY
_UNITYRLINPUTPROTO.fields_by_name['command'].enum_type = mlagents__envs_dot_communicator__objects_dot_command__pb2._COMMANDPROTO
DESCRIPTOR.message_types_by_name['UnityRLInputProto'] = _UNITYRLINPUTPROTO
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
UnityRLInputProto = _reflection.GeneratedProtocolMessageType('UnityRLInputProto', (_message.Message,), dict(
ListAgentActionProto = _reflection.GeneratedProtocolMessageType('ListAgentActionProto', (_message.Message,), dict(
DESCRIPTOR = _UNITYRLINPUTPROTO_LISTAGENTACTIONPROTO,
__module__ = 'mlagents_envs.communicator_objects.unity_rl_input_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.UnityRLInputProto.ListAgentActionProto)
))
,
AgentActionsEntry = _reflection.GeneratedProtocolMessageType('AgentActionsEntry', (_message.Message,), dict(
DESCRIPTOR = _UNITYRLINPUTPROTO_AGENTACTIONSENTRY,
__module__ = 'mlagents_envs.communicator_objects.unity_rl_input_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.UnityRLInputProto.AgentActionsEntry)
))
,
DESCRIPTOR = _UNITYRLINPUTPROTO,
__module__ = 'mlagents_envs.communicator_objects.unity_rl_input_pb2'
# @@protoc_insertion_point(class_scope:communicator_objects.UnityRLInputProto)
))
_sym_db.RegisterMessage(UnityRLInputProto)
_sym_db.RegisterMessage(UnityRLInputProto.ListAgentActionProto)
_sym_db.RegisterMessage(UnityRLInputProto.AgentActionsEntry)
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\252\002\"Unity.MLAgents.CommunicatorObjects'))
_UNITYRLINPUTPROTO_AGENTACTIONSENTRY.has_options = True
_UNITYRLINPUTPROTO_AGENTACTIONSENTRY._options = _descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001'))
# @@protoc_insertion_point(module_scope)