您最多选择25个主题
主题必须以中文或者字母或数字开头，可以包含连字符 (-)，并且长度不得超过35个字符
91 行
3.4 KiB
91 行
3.4 KiB
import math
|
|
from typing import Dict, Any
|
|
|
|
from mlagents.trainers.exception import CurriculumConfigError
|
|
|
|
from mlagents_envs.logging_util import get_logger
|
|
from mlagents.trainers.settings import CurriculumSettings
|
|
|
|
logger = get_logger(__name__)
|
|
|
|
|
|
class Curriculum:
|
|
def __init__(self, brain_name: str, settings: CurriculumSettings):
|
|
"""
|
|
Initializes a Curriculum object.
|
|
:param brain_name: Name of the brain this Curriculum is associated with
|
|
:param config: Dictionary of fields needed to configure the Curriculum
|
|
"""
|
|
self.max_lesson_num = 0
|
|
self.measure = None
|
|
self._lesson_num = 0
|
|
self.brain_name = brain_name
|
|
self.settings = settings
|
|
|
|
self.smoothing_value = 0.0
|
|
self.measure = self.settings.measure
|
|
self.min_lesson_length = self.settings.min_lesson_length
|
|
self.max_lesson_num = len(self.settings.thresholds)
|
|
|
|
parameters = self.settings.parameters
|
|
for key in parameters:
|
|
if len(parameters[key]) != self.max_lesson_num + 1:
|
|
raise CurriculumConfigError(
|
|
f"The parameter {key} in {brain_name}'s curriculum must have {self.max_lesson_num + 1} values "
|
|
f"but {len(parameters[key])} were found"
|
|
)
|
|
|
|
@property
|
|
def lesson_num(self) -> int:
|
|
return self._lesson_num
|
|
|
|
@lesson_num.setter
|
|
def lesson_num(self, lesson_num: int) -> None:
|
|
self._lesson_num = max(0, min(lesson_num, self.max_lesson_num))
|
|
|
|
def increment_lesson(self, measure_val: float) -> bool:
|
|
"""
|
|
Increments the lesson number depending on the progress given.
|
|
:param measure_val: Measure of progress (either reward or percentage
|
|
steps completed).
|
|
:return Whether the lesson was incremented.
|
|
"""
|
|
if not self.settings or not measure_val or math.isnan(measure_val):
|
|
return False
|
|
if self.settings.signal_smoothing:
|
|
measure_val = self.smoothing_value * 0.25 + 0.75 * measure_val
|
|
self.smoothing_value = measure_val
|
|
if self.lesson_num < self.max_lesson_num:
|
|
if measure_val > self.settings.thresholds[self.lesson_num]:
|
|
self.lesson_num += 1
|
|
config = {}
|
|
parameters = self.settings.parameters
|
|
for key in parameters:
|
|
config[key] = parameters[key][self.lesson_num]
|
|
logger.info(
|
|
"{0} lesson changed. Now in lesson {1}: {2}".format(
|
|
self.brain_name,
|
|
self.lesson_num,
|
|
", ".join([str(x) + " -> " + str(config[x]) for x in config]),
|
|
)
|
|
)
|
|
return True
|
|
return False
|
|
|
|
def get_config(self, lesson: int = None) -> Dict[str, Any]:
|
|
"""
|
|
Returns reset parameters which correspond to the lesson.
|
|
:param lesson: The lesson you want to get the config of. If None, the
|
|
current lesson is returned.
|
|
:return: The configuration of the reset parameters.
|
|
"""
|
|
if not self.settings:
|
|
return {}
|
|
if lesson is None:
|
|
lesson = self.lesson_num
|
|
lesson = max(0, min(lesson, self.max_lesson_num))
|
|
config = {}
|
|
parameters = self.settings.parameters
|
|
for key in parameters:
|
|
config[key] = parameters[key][lesson]
|
|
return config
|