Upgrade minari dependency

d3rlpy/cli.py

@@ -389,7 +389,7 @@ def print_available_options() -> None:
         _install_module(["gym"], upgrade=True)
         _uninstall_module(["pybullet"])
     elif name == "minari":
-        _install_module(["minari==0.4.2", "gymnasium_robotics"], upgrade=True)
+        _install_module(["minari[all]>=0.5.1"], upgrade=True)
     elif name == "dm_control":
         _install_module(["shimmy[dm-control]==1.3.0"], upgrade=True)
     elif name == "list":

reproductions/finetuning/awac_finetune.py

@@ -6,7 +6,7 @@
 
 def main() -> None:
     parser = argparse.ArgumentParser()
-    parser.add_argument("--dataset", type=str, default="antmaze-umaze-v0")
+    parser.add_argument("--dataset", type=str, default="D4RL/antmaze/umaze-v1")
     parser.add_argument("--seed", type=int, default=1)
     parser.add_argument("--gpu", type=int)
     parser.add_argument("--compile", action="store_true")

reproductions/finetuning/iql_finetune.py

@@ -7,7 +7,7 @@
 
 def main() -> None:
     parser = argparse.ArgumentParser()
-    parser.add_argument("--dataset", type=str, default="antmaze-umaze-v0")
+    parser.add_argument("--dataset", type=str, default="D4RL/antmaze/umaze-v1")
     parser.add_argument("--seed", type=int, default=1)
     parser.add_argument("--gpu", type=int)
     parser.add_argument("--compile", action="store_true")

tests/test_datasets.py

@@ -1,6 +1,6 @@
 import pytest
 
-from d3rlpy.datasets import get_cartpole, get_dataset, get_pendulum
+from d3rlpy.datasets import get_cartpole, get_dataset, get_minari, get_pendulum
 
 
 @pytest.mark.parametrize("dataset_type", ["replay", "random"])
@@ -25,38 +25,35 @@ def test_get_dataset(env_name: str) -> None:
         assert env.unwrapped.spec.id == "Pendulum-v1"
 
 
-# @pytest.mark.parametrize(
-#     "dataset_name, env_name",
-#     [
-#         ("door-cloned-v2", "AdroitHandDoor-v1"),
-#         ("relocate-expert-v2", "AdroitHandRelocate-v1"),
-#         ("kitchen-complete-v1", "FrankaKitchen-v1"),
-#     ],
-# )
-# @pytest.mark.parametrize("tuple_observation", [False, True])
-# def test_get_minari(
-#     dataset_name: str, env_name: str, tuple_observation: bool
-# ) -> None:
-#     dataset, env = get_minari(
-#        dataset_name, tuple_observation=tuple_observation
-#     )
-#     assert env.unwrapped.spec.id == env_name  # type: ignore
-#
-#     if tuple_observation:
-#         # check shape
-#         ep = dataset.episodes[0]
-#         ref_shape0 = ep.observations[0].shape[1:]
-#         ref_shape1 = ep.observations[1].shape[1:]
-#         obs, _ = env.reset()
-#         assert obs[0].shape == ref_shape0
-#         assert obs[1].shape == ref_shape1
-#         obs, _, _, _, _ = env.step(env.action_space.sample())
-#         assert obs[0].shape == ref_shape0
-#         assert obs[1].shape == ref_shape1
-#     else:
-#         # check shape
-#         ref_shape = dataset.episodes[0].observations.shape[1:]  # type: ignore
-#         obs, _ = env.reset()
-#         assert obs.shape == ref_shape
-#         obs, _, _, _, _ = env.step(env.action_space.sample())
-#         assert obs.shape == ref_shape
+@pytest.mark.parametrize(
+    "dataset_name, env_name",
+    [
+        ("D4RL/door/cloned-v2", "AdroitHandDoor-v1"),
+        ("D4RL/kitchen/complete-v2", "FrankaKitchen-v1"),
+    ],
+)
+@pytest.mark.parametrize("tuple_observation", [False, True])
+def test_get_minari(
+    dataset_name: str, env_name: str, tuple_observation: bool
+) -> None:
+    dataset, env = get_minari(dataset_name, tuple_observation=tuple_observation)
+    assert env.unwrapped.spec.id == env_name  # type: ignore
+
+    if tuple_observation:
+        # check shape
+        ep = dataset.episodes[0]
+        ref_shape0 = ep.observations[0].shape[1:]
+        ref_shape1 = ep.observations[1].shape[1:]
+        obs, _ = env.reset()
+        assert obs[0].shape == ref_shape0
+        assert obs[1].shape == ref_shape1
+        obs, _, _, _, _ = env.step(env.action_space.sample())
+        assert obs[0].shape == ref_shape0
+        assert obs[1].shape == ref_shape1
+    else:
+        # check shape
+        ref_shape = dataset.episodes[0].observations.shape[1:]  # type: ignore
+        obs, _ = env.reset()
+        assert obs.shape == ref_shape
+        obs, _, _, _, _ = env.step(env.action_space.sample())
+        assert obs.shape == ref_shape