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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"""Contains the MetaCurriculum class."""
import os
from unitytrainers.curriculum import Curriculum
from unitytrainers.exception import MetaCurriculumError
import logging
logger = logging.getLogger('unitytrainers')
class MetaCurriculum(object):
"""A MetaCurriculum holds curriculums. Each curriculum is associated to a particular
brain in the environment.
"""
def __init__(self, curriculum_folder, default_reset_parameters):
"""Initializes a MetaCurriculum object.
Args:
curriculum_folder (str): The relative or absolute path of the
folder which holds the curriculums for this environment.
The folder should contain JSON files whose names are the
brains that the curriculums belong to.
default_reset_parameters (dict): The default reset parameters
of the environment.
"""
used_reset_parameters = set()
self._brains_to_curriculums = {}
try:
for curriculum_filename in os.listdir(curriculum_folder):
brain_name = curriculum_filename.split('.')[0]
curriculum_filepath = \
os.path.join(curriculum_folder, curriculum_filename)
curriculum = Curriculum(curriculum_filepath, default_reset_parameters)
# Check if any two curriculums use the same reset params.
if any([(parameter in curriculum.get_config().keys()) for parameter in used_reset_parameters]):
logger.warning('Two or more curriculums will '
'attempt to change the same reset '
'parameter. The result will be '
'non-deterministic.')
used_reset_parameters.update(curriculum.get_config().keys())
self._brains_to_curriculums[brain_name] = curriculum
except NotADirectoryError:
raise MetaCurriculumError(curriculum_folder + ' is not a '
'directory. Refer to the ML-Agents '
'curriculum learning docs.')
@property
def brains_to_curriculums(self):
"""A dict from brain_name to the brain's curriculum."""
return self._brains_to_curriculums
@property
def lesson_nums(self):
"""A dict from brain name to the brain's curriculum's lesson number."""
lesson_nums = {}
for brain_name, curriculum in self.brains_to_curriculums.items():
lesson_nums[brain_name] = curriculum.lesson_num
return lesson_nums
@lesson_nums.setter
def lesson_nums(self, lesson_nums):
for brain_name, lesson in lesson_nums.items():
self.brains_to_curriculums[brain_name].lesson_num = lesson
def increment_lessons(self, progresses):
"""Increments all the lessons of all the curriculums in this MetaCurriculum.
Args:
progresses (dict): A dict of brain name to progress.
"""
for brain_name, progress in progresses.items():
self.brains_to_curriculums[brain_name].increment_lesson(progress)
def set_all_curriculums_to_lesson_num(self, lesson_num):
"""Sets all the curriculums in this meta curriculum to a specified lesson number.
Args:
lesson_num (int): The lesson number which all the curriculums will
be set to.
"""
for _, curriculum in self.brains_to_curriculums.items():
curriculum.lesson_num = lesson_num
def get_config(self):
"""Get the combined configuration of all curriculums in this MetaCurriculum.
Returns:
A dict from parameter to value.
"""
config = {}
for _, curriculum in self.brains_to_curriculums.items():
curr_config = curriculum.get_config()
config.update(curr_config)
return config