本文整理汇总了Python中ray.rllib.evaluation.policy_evaluator.PolicyEvaluator.get_filters方法的典型用法代码示例。如果您正苦于以下问题：Python PolicyEvaluator.get_filters方法的具体用法？Python PolicyEvaluator.get_filters怎么用？Python PolicyEvaluator.get_filters使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类ray.rllib.evaluation.policy_evaluator.PolicyEvaluator的用法示例。
在下文中一共展示了PolicyEvaluator.get_filters方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: testGetFilters
# 需要导入模块: from ray.rllib.evaluation.policy_evaluator import PolicyEvaluator [as 别名]
# 或者: from ray.rllib.evaluation.policy_evaluator.PolicyEvaluator import get_filters [as 别名]
def testGetFilters(self):
ev = PolicyEvaluator(
env_creator=lambda _: gym.make("CartPole-v0"),
policy_graph=MockPolicyGraph,
sample_async=True,
observation_filter="ConcurrentMeanStdFilter")
self.sample_and_flush(ev)
filters = ev.get_filters(flush_after=False)
time.sleep(2)
filters2 = ev.get_filters(flush_after=False)
obs_f = filters["default"]
obs_f2 = filters2["default"]
self.assertGreaterEqual(obs_f2.rs.n, obs_f.rs.n)
self.assertGreaterEqual(obs_f2.buffer.n, obs_f.buffer.n)示例2: testSyncFilter
# 需要导入模块: from ray.rllib.evaluation.policy_evaluator import PolicyEvaluator [as 别名]
# 或者: from ray.rllib.evaluation.policy_evaluator.PolicyEvaluator import get_filters [as 别名]
def testSyncFilter(self):
ev = PolicyEvaluator(
env_creator=lambda _: gym.make("CartPole-v0"),
policy_graph=MockPolicyGraph,
sample_async=True,
observation_filter="ConcurrentMeanStdFilter")
obs_f = self.sample_and_flush(ev)
# Current State
filters = ev.get_filters(flush_after=False)
obs_f = filters["default"]
self.assertLessEqual(obs_f.buffer.n, 20)
new_obsf = obs_f.copy()
new_obsf.rs._n = 100
ev.sync_filters({"default": new_obsf})
filters = ev.get_filters(flush_after=False)
obs_f = filters["default"]
self.assertGreaterEqual(obs_f.rs.n, 100)
self.assertLessEqual(obs_f.buffer.n, 20)示例3: testFilterSync
# 需要导入模块: from ray.rllib.evaluation.policy_evaluator import PolicyEvaluator [as 别名]
# 或者: from ray.rllib.evaluation.policy_evaluator.PolicyEvaluator import get_filters [as 别名]
def testFilterSync(self):
ev = PolicyEvaluator(
env_creator=lambda _: gym.make("CartPole-v0"),
policy_graph=MockPolicyGraph,
sample_async=True,
observation_filter="ConcurrentMeanStdFilter")
time.sleep(2)
ev.sample()
filters = ev.get_filters(flush_after=True)
obs_f = filters["default"]
self.assertNotEqual(obs_f.rs.n, 0)
self.assertNotEqual(obs_f.buffer.n, 0)