901 - changed acl current obs from list to numpy.array, changed default ACL list in training_config.py to FALSE, and tried to make test_seeding_and_deterministic_session.py test without fixed reward results

This commit is contained in:
SunilSamra
2023-07-13 11:04:11 +01:00
parent e192d24800
commit ad4198da13
7 changed files with 37 additions and 28 deletions

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@@ -11,6 +11,7 @@ from tests import TEST_CONFIG_ROOT
)
def test_seeded_learning(temp_primaite_session):
"""Test running seeded learning produces the same output when ran twice."""
"""
expected_mean_reward_per_episode = {
1: -90.703125,
2: -91.15234375,
@@ -23,14 +24,22 @@ def test_seeded_learning(temp_primaite_session):
9: -112.79296875,
10: -100.01953125,
}
"""
with temp_primaite_session as session:
assert session._training_config.seed == 67890, (
"Expected output is based upon a agent that was trained with " "seed 67890"
)
session.learn()
actual_mean_reward_per_episode = session.learn_av_reward_per_episode()
actual_mean_reward_per_episode_run_1 = session.learn_av_reward_per_episode()
assert actual_mean_reward_per_episode == expected_mean_reward_per_episode
with temp_primaite_session as session:
assert session._training_config.seed == 67890, (
"Expected output is based upon a agent that was trained with " "seed 67890"
)
session.learn()
actual_mean_reward_per_episode_run_2 = session.learn_av_reward_per_episode()
assert actual_mean_reward_per_episode_run_1 == actual_mean_reward_per_episode_run_2
@pytest.mark.skip(reason="Inconsistent results. Needs someone with RL " "knowledge to investigate further.")