diff --git a/test/highlevel/env_factory.py b/test/highlevel/env_factory.py
new file mode 100644
index 0000000..342848d
--- /dev/null
+++ b/test/highlevel/env_factory.py
@@ -0,0 +1,36 @@
+import gymnasium as gym
+
+from tianshou.env import DummyVectorEnv
+from tianshou.highlevel.env import (
+    ContinuousEnvironments,
+    DiscreteEnvironments,
+    EnvFactory,
+    Environments,
+)
+from tianshou.highlevel.persistence import PersistableConfigProtocol
+
+
+class DiscreteTestEnvFactory(EnvFactory):
+    def __init__(self, test_num=10, train_num=10):
+        self.test_num = test_num
+        self.train_num = train_num
+
+    def create_envs(self, config: PersistableConfigProtocol | None = None) -> Environments:
+        task = "CartPole-v0"
+        env = gym.make(task)
+        train_envs = DummyVectorEnv([lambda: gym.make(task) for _ in range(self.train_num)])
+        test_envs = DummyVectorEnv([lambda: gym.make(task) for _ in range(self.test_num)])
+        return DiscreteEnvironments(env, train_envs, test_envs)
+
+
+class ContinuousTestEnvFactory(EnvFactory):
+    def __init__(self, test_num=10, train_num=10):
+        self.test_num = test_num
+        self.train_num = train_num
+
+    def create_envs(self, config: PersistableConfigProtocol | None = None) -> Environments:
+        task = "Pendulum-v1"
+        env = gym.make(task)
+        train_envs = DummyVectorEnv([lambda: gym.make(task) for _ in range(self.train_num)])
+        test_envs = DummyVectorEnv([lambda: gym.make(task) for _ in range(self.test_num)])
+        return ContinuousEnvironments(env, train_envs, test_envs)
diff --git a/test/highlevel/test_continuous.py b/test/highlevel/test_continuous.py
new file mode 100644
index 0000000..bc394d6
--- /dev/null
+++ b/test/highlevel/test_continuous.py
@@ -0,0 +1,37 @@
+from test.highlevel.env_factory import ContinuousTestEnvFactory
+
+import pytest
+
+from tianshou.highlevel.config import RLSamplingConfig
+from tianshou.highlevel.experiment import (
+    A2CExperimentBuilder,
+    DDPGExperimentBuilder,
+    PPOExperimentBuilder,
+    RLExperimentConfig,
+    SACExperimentBuilder,
+    TD3ExperimentBuilder,
+)
+
+
+@pytest.mark.parametrize(
+    "builder_cls",
+    [
+        PPOExperimentBuilder,
+        A2CExperimentBuilder,
+        SACExperimentBuilder,
+        DDPGExperimentBuilder,
+        TD3ExperimentBuilder,
+    ],
+)
+def test_experiment_builder_continuous_default_params(builder_cls):
+    env_factory = ContinuousTestEnvFactory()
+    sampling_config = RLSamplingConfig(num_epochs=1, step_per_epoch=100)
+    experiment_config = RLExperimentConfig()
+    builder = builder_cls(
+        experiment_config=experiment_config,
+        env_factory=env_factory,
+        sampling_config=sampling_config,
+    )
+    experiment = builder.build()
+    experiment.run("test")
+    print(experiment)
diff --git a/test/highlevel/test_discrete.py b/test/highlevel/test_discrete.py
new file mode 100644
index 0000000..b242b85
--- /dev/null
+++ b/test/highlevel/test_discrete.py
@@ -0,0 +1,28 @@
+from test.highlevel.env_factory import DiscreteTestEnvFactory
+
+import pytest
+
+from tianshou.highlevel.config import RLSamplingConfig
+from tianshou.highlevel.experiment import (
+    A2CExperimentBuilder,
+    DQNExperimentBuilder,
+    PPOExperimentBuilder,
+    RLExperimentConfig,
+)
+
+
+@pytest.mark.parametrize(
+    "builder_cls",
+    [PPOExperimentBuilder, A2CExperimentBuilder, DQNExperimentBuilder],
+)
+def test_experiment_builder_discrete_default_params(builder_cls):
+    env_factory = DiscreteTestEnvFactory()
+    sampling_config = RLSamplingConfig(num_epochs=1, step_per_epoch=100)
+    builder = builder_cls(
+        experiment_config=RLExperimentConfig(),
+        env_factory=env_factory,
+        sampling_config=sampling_config,
+    )
+    experiment = builder.build()
+    experiment.run("test")
+    print(experiment)