Merge pull request #40 from huangshiyu13/dev

- add test for train examples

.github/workflows/unit_test.yml

@@ -9,7 +9,7 @@ jobs:
     if: "! contains(toJSON(github.event.commits.*.message), '[ci skip]')"
     strategy:
       matrix:
-        python-version: [ 3.8, 3.9 ]
+        python-version: [ 3.8 ]
 
     steps:
       - uses: actions/checkout@v3

tests/test_examples/test_train_cartpole.py

@@ -0,0 +1,58 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# Copyright 2023 The OpenRL Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+""""""
+
+import os
+import sys
+
+import pytest
+import numpy as np
+
+from openrl.envs.common import make
+from openrl.modules.common import PPONet as Net
+from openrl.runners.common import PPOAgent as Agent
+
+
+@pytest.fixture(scope="module", params=[""])
+def config(request):
+    from openrl.configs.config import create_config_parser
+
+    cfg_parser = create_config_parser()
+    cfg = cfg_parser.parse_args(request.param.split())
+    return cfg
+
+
+@pytest.mark.unittest
+def test_train_cartpole(config):
+    env = make("CartPole-v1", env_num=9)
+    agent = Agent(Net(env, cfg=config))
+    agent.train(total_time_steps=20000)
+
+    agent.set_env(env)
+    obs, info = env.reset()
+    done = False
+    total_reward = 0
+    while not np.any(done):
+        action, _ = agent.act(obs, deterministic=True)
+        obs, r, done, info = env.step(action)
+        total_reward += np.mean(r)
+    assert total_reward >= 450, "CartPole-v1 should be solved."
+    env.close()
+
+
+if __name__ == "__main__":
+    sys.exit(pytest.main(["-sv", os.path.basename(__file__)]))

tests/test_examples/test_train_mpe.py

@@ -0,0 +1,52 @@
+""""""
+import os
+import sys
+
+import pytest
+import numpy as np
+
+from openrl.configs.config import create_config_parser
+from openrl.envs.common import make
+from openrl.modules.common import PPONet as Net
+from openrl.runners.common import PPOAgent as Agent
+
+
+@pytest.fixture(
+    scope="module",
+    params=[
+        "--episode_length 5 --use_recurrent_policy true --use_joint_action_loss true --use_valuenorm true --use_adv_normalize true"
+    ],
+)
+def config(request):
+    cfg_parser = create_config_parser()
+    cfg = cfg_parser.parse_args(request.param.split())
+    return cfg
+
+
+@pytest.mark.unittest
+def test_train_mpe(config):
+    env_num = 2
+    env = make(
+        "simple_spread",
+        env_num=env_num,
+        asynchronous=True,
+    )
+    net = Net(env, cfg=config)
+    agent = Agent(net)
+    agent.train(total_time_steps=30)
+    agent.save("./ppo_agent/")
+    agent.load("./ppo_agent/")
+    agent.set_env(env)
+    obs, info = env.reset(seed=0)
+    step = 0
+    while step < 5:
+        action, _ = agent.act(obs, deterministic=True)
+        obs, r, done, info = env.step(action)
+        if np.any(done):
+            break
+        step += 1
+    env.close()
+
+
+if __name__ == "__main__":
+    sys.exit(pytest.main(["-sv", os.path.basename(__file__)]))