55 lines
1.3 KiB
Python
55 lines
1.3 KiB
Python
import unittest
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import ray
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import ray.rllib.algorithms.dqn as dqn
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from ray.rllib.utils.test_utils import check_train_results_new_api_stack
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class TestDQN(unittest.TestCase):
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@classmethod
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def setUpClass(cls) -> None:
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ray.init()
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@classmethod
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def tearDownClass(cls) -> None:
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ray.shutdown()
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def test_dqn_compilation(self):
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"""Test whether DQN can be built and trained."""
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num_iterations = 2
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config = (
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dqn.dqn.DQNConfig()
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.environment("CartPole-v1")
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.env_runners(num_env_runners=2)
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.training(num_steps_sampled_before_learning_starts=0)
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)
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# Double-dueling DQN.
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print("Double-dueling")
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algo = config.build()
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for i in range(num_iterations):
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results = algo.train()
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check_train_results_new_api_stack(results)
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print(results)
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algo.stop()
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# Rainbow.
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print("Rainbow")
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config.training(num_atoms=10, double_q=True, dueling=True, n_step=5)
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algo = config.build()
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for i in range(num_iterations):
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results = algo.train()
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check_train_results_new_api_stack(results)
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print(results)
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algo.stop()
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if __name__ == "__main__":
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import sys
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import pytest
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sys.exit(pytest.main(["-v", __file__]))
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