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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from typing import NamedTuple
from urllib.parse import urlparse, parse_qs
class BehaviorIdentifiers(NamedTuple):
"""
BehaviorIdentifiers is a named tuple if the identifiers that uniquely distinguish
an agent encountered in the trainer_controller. The named tuple consists of the
fully qualified behavior name, the name of the brain name (corresponds to trainer
in the trainer controller) and the team id. In the future, this can be extended
to support further identifiers.
"""
behavior_id: str
brain_name: str
team_id: int
@staticmethod
def from_name_behavior_id(name_behavior_id: str) -> "BehaviorIdentifiers":
"""
Parses a name_behavior_id of the form name?team=0
into a BehaviorIdentifiers NamedTuple.
This allows you to access the brain name and team id og an agent
:param name_behavior_id: String of behavior params in HTTP format.
:returns: A BehaviorIdentifiers object.
"""
parsed = urlparse(name_behavior_id)
name = parsed.path
ids = parse_qs(parsed.query)
team_id: int = 0
if "team" in ids:
team_id = int(ids["team"][0])
return BehaviorIdentifiers(
behavior_id=name_behavior_id, brain_name=name, team_id=team_id
)
def create_name_behavior_id(name: str, team_id: int) -> str:
"""
Reconstructs fully qualified behavior name from name and team_id
:param name: brain name
:param team_id: team ID
:return: name_behavior_id
"""
return name + "?team=" + str(team_id)