Initial commit

README.md

@@ -0,0 +1,37 @@
+---
+library_name: stable-baselines3
+tags:
+- PandaPickAndPlaceDense-v3
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: DDPG
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: PandaPickAndPlaceDense-v3
+      type: PandaPickAndPlaceDense-v3
+    metrics:
+    - type: mean_reward
+      value: -9.63 +/- 4.14
+      name: mean_reward
+      verified: false
+---
+
+# **DDPG** Agent playing **PandaPickAndPlaceDense-v3**
+This is a trained model of a **DDPG** agent playing **PandaPickAndPlaceDense-v3**
+using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
+
+## Usage (with Stable-baselines3)
+TODO: Add your code
+
+
+```python
+from stable_baselines3 import ...
+from huggingface_sb3 import load_from_hub
+
+...
+```

config.json

@@ -0,0 +1 @@
+{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVNwAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLnRkMy5wb2xpY2llc5SMEE11bHRpSW5wdXRQb2xpY3mUk5Qu", "__module__": "stable_baselines3.td3.policies", "__doc__": "\n    Policy class (with both actor and critic) for TD3 to be used with Dict observation spaces.\n\n    :param observation_space: Observation space\n    :param action_space: Action space\n    :param lr_schedule: Learning rate schedule (could be constant)\n    :param net_arch: The specification of the policy and value networks.\n    :param activation_fn: Activation function\n    :param features_extractor_class: Features extractor to use.\n    :param features_extractor_kwargs: Keyword arguments\n        to pass to the features extractor.\n    :param normalize_images: Whether to normalize images or not,\n         dividing by 255.0 (True by default)\n    :param optimizer_class: The optimizer to use,\n        ``th.optim.Adam`` by default\n    :param optimizer_kwargs: Additional keyword arguments,\n        excluding the learning rate, to pass to the optimizer\n    :param n_critics: Number of critic networks to create.\n    :param share_features_extractor: Whether to share or not the features extractor\n        between the actor and the critic (this saves computation time)\n    ", "__init__": "<function MultiInputPolicy.__init__ at 0x7db300027eb0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7db30002ac40>"}, "verbose": 1, "policy_kwargs": {"n_critics": 1}, "num_timesteps": 1000000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1719119756982418287, "learning_rate": 0.001, "tensorboard_log": null, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[-0.5524301  -1.1536498   0.03885195]\n [-0.76749235  1.0108563   0.03883878]\n [-1.5132442   1.3939399   0.03884494]\n [-0.4738599   0.06518114  0.03883878]]", "desired_goal": "[[ 0.79786736 -1.6490593  -0.9044062 ]\n [-1.1436296   1.3913419   1.6661493 ]\n [ 0.43023083 -0.9170421  -1.091465  ]\n [-0.23132539  0.8442932  -1.091465  ]]", "observation": "[[ 1.13537304e-01 -1.45152545e+00  1.21706712e+00  1.70428976e-01\n  -1.93695262e-01  2.04039402e-02  1.13333964e+00 -5.52430093e-01\n  -1.15364981e+00  3.88519540e-02 -5.58313495e-03 -1.21847605e-02\n   4.95511515e-04  5.53946383e-03  1.97307812e-03  1.65757816e-02\n  -4.41130425e-04 -7.11064693e-03 -1.52643328e-03]\n [ 7.97085941e-01  8.30674052e-01 -1.03128421e+00 -2.09682852e-01\n   9.56878066e-01  1.17414258e-01 -7.30506659e-01 -7.67492354e-01\n   1.01085627e+00  3.88387814e-02 -5.68505516e-03 -1.21730473e-02\n   3.17415106e-03  6.42523216e-03  2.95650144e-03  1.65757816e-02\n  -4.41077253e-04 -7.11060222e-03 -7.01483048e-04]\n [-7.70459354e-01  1.22964728e+00  1.54538214e+00 -1.22782862e+00\n   1.43343464e-01  1.98251549e-02 -9.57011461e-01 -1.51324415e+00\n   1.39393985e+00  3.88449393e-02 -5.59108751e-03 -1.27466200e-02\n  -2.02052318e-03  7.21693831e-03  1.07931136e-03  1.59302279e-02\n   4.24803002e-03 -3.78237572e-04 -2.05068639e-03]\n [-5.58283091e-01  1.74272788e+00 -1.04766405e+00  1.43272340e+00\n  -1.70824856e-01  2.61859179e-01  9.06766236e-01 -4.73859906e-01\n   6.51811361e-02  3.88387814e-02 -5.68499416e-03 -1.21729486e-02\n   4.61746333e-03  6.42516511e-03  2.95635243e-03  1.65757816e-02\n  -4.41077253e-04 -7.11060222e-03 -7.01931422e-04]]"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[-0.04911035 -0.10386825  0.01998987]\n [-0.06832986  0.09023785  0.01998967]\n [-0.13497557  0.12459157  0.01998976]\n [-0.04208876  0.00543267  0.01998967]]", "desired_goal": "[[ 0.06884388 -0.1427904   0.03251998]\n [-0.09976149  0.12132578  0.20456913]\n [ 0.03691723 -0.0792009   0.02      ]\n [-0.02053428  0.07380428  0.02      ]]", "observation": "[[-1.61562443e-01 -4.91505176e-01  5.64866722e-01 -9.34983268e-02\n  -5.05957194e-02  3.67156900e-02  7.99994618e-02 -4.91103530e-02\n  -1.03868254e-01  1.99898705e-02 -4.32577326e-06  1.28463589e-05\n   2.15894237e-04 -4.21279537e-06 -2.81545795e-06 -2.28343039e-12\n  -4.99636582e-11  2.00739272e-10  1.35709546e-04]\n [ 8.59491900e-02  4.13070589e-01  8.81852489e-03 -2.44204685e-01\n   4.68101621e-01  8.07443559e-02  8.66853353e-03 -6.83298558e-02\n   9.02378485e-02  1.99896712e-02 -1.42357994e-05  1.35087166e-05\n   6.76444499e-04  2.01146813e-05  2.34876261e-05  1.37078057e-11\n   1.34822180e-08  1.27376474e-08  5.64105634e-04]\n [-4.81655896e-01  5.71208179e-01  6.46063566e-01 -6.47878110e-01\n   1.01346873e-01  3.64530049e-02  7.43801642e-09 -1.34975567e-01\n   1.24591574e-01  1.99897643e-02 -5.09903612e-06 -1.89275779e-05\n  -2.16698652e-04  4.18587697e-05 -2.67205487e-05 -2.00831309e-05\n   1.19320315e-03  1.88044982e-03 -1.36534771e-04]\n [-4.04827297e-01  7.74573505e-01  4.76756785e-03  4.06974912e-01\n  -4.02853638e-02  1.46301478e-01  7.13283122e-02 -4.20887582e-02\n   5.43267373e-03  1.99896712e-02 -1.42298632e-05  1.35143137e-05\n   9.24599532e-04  2.01128478e-05  2.34836461e-05  1.39270158e-11\n   1.34792284e-08  1.27254651e-08  5.63872803e-04]]"}, "_episode_num": 20615, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": 0.0, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVhgAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKImJiYmJiYmIiYmJiYmJiYmJiYmJiYmJiImJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiImJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiImJiYllLg=="}, "_n_updates": 249975, "buffer_size": 1000000, "batch_size": 256, "learning_starts": 100, "tau": 0.005, "gamma": 0.99, "gradient_steps": 1, "optimize_memory_usage": false, "replay_buffer_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVOQAAAAAAAACMIHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5idWZmZXJzlIwQRGljdFJlcGxheUJ1ZmZlcpSTlC4=", "__module__": "stable_baselines3.common.buffers", "__annotations__": "{'observation_space': <class 'gymnasium.spaces.dict.Dict'>, 'obs_shape': typing.Dict[str, typing.Tuple[int, ...]], 'observations': typing.Dict[str, numpy.ndarray], 'next_observations': typing.Dict[str, numpy.ndarray]}", "__doc__": "\n    Dict Replay buffer used in off-policy algorithms like SAC/TD3.\n    Extends the ReplayBuffer to use dictionary observations\n\n    :param buffer_size: Max number of element in the buffer\n    :param observation_space: Observation space\n    :param action_space: Action space\n    :param device: PyTorch device\n    :param n_envs: Number of parallel environments\n    :param optimize_memory_usage: Enable a memory efficient variant\n        Disabled for now (see https://github.com/DLR-RM/stable-baselines3/pull/243#discussion_r531535702)\n    :param handle_timeout_termination: Handle timeout termination (due to timelimit)\n        separately and treat the task as infinite horizon task.\n        https://github.com/DLR-RM/stable-baselines3/issues/284\n    ", "__init__": "<function DictReplayBuffer.__init__ at 0x7db2fff63c70>", "add": "<function DictReplayBuffer.add at 0x7db2fff63d00>", "sample": "<function DictReplayBuffer.sample at 0x7db2fff63d90>", "_get_samples": "<function DictReplayBuffer._get_samples at 0x7db2fff63e20>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7db2fff6d9c0>"}, "replay_buffer_kwargs": {}, "train_freq": {":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>", ":serialized:": "gAWVYQAAAAAAAACMJXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi50eXBlX2FsaWFzZXOUjAlUcmFpbkZyZXGUk5RLAWgAjBJUcmFpbkZyZXF1ZW5jeVVuaXSUk5SMBHN0ZXCUhZRSlIaUgZQu"}, "use_sde_at_warmup": false, "policy_delay": 1, "target_noise_clip": 0.0, "target_policy_noise": 0.1, "observation_space": {":type:": "<class 'gymnasium.spaces.dict.Dict'>", ":serialized:": "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", "spaces": "OrderedDict([('achieved_goal', Box(-10.0, 10.0, (3,), float32)), ('desired_goal', Box(-10.0, 10.0, (3,), float32)), ('observation', Box(-10.0, 10.0, (19,), float32))])", "_shape": null, "dtype": null, "_np_random": null}, "action_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "bounded_below": "[ True  True  True  True]", "bounded_above": "[ True  True  True  True]", "_shape": [4], "low": "[-1. -1. -1. -1.]", "high": "[1. 1. 1. 1.]", "low_repr": "-1.0", "high_repr": "1.0", "_np_random": "Generator(PCG64)"}, "n_envs": 4, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "actor_batch_norm_stats": [], "critic_batch_norm_stats": [], "actor_batch_norm_stats_target": [], "critic_batch_norm_stats_target": [], "system_info": {"OS": "Linux-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sun Apr 28 14:29:16 UTC 2024", "Python": "3.10.12", "Stable-Baselines3": "2.3.2", "PyTorch": "2.3.0+cu121", "GPU Enabled": "False", "Numpy": "1.25.2", "Cloudpickle": "2.2.1", "Gymnasium": "0.29.1", "OpenAI Gym": "0.25.2"}}

ddpg-PandaPickAndPlaceDense-v3.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2cbfe733f433e047ad8bacacf13363d9a5b887905cd94adadfd02ea75792a183
+size 4272380

ddpg-PandaPickAndPlaceDense-v3/_stable_baselines3_version

@@ -0,0 +1 @@
+2.3.2

ddpg-PandaPickAndPlaceDense-v3/actor.optimizer.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b91bfe841c730dd409dce66f7942cd2dddb537768cb29de6a3a5a34d2b57af28
+size 1060384

ddpg-PandaPickAndPlaceDense-v3/critic.optimizer.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0ef5a9d35ab30222ebcb10c4f768e324fdeee8c136c54fb1e574c35ee214a8dd
+size 1065888

ddpg-PandaPickAndPlaceDense-v3/data

@@ -0,0 +1,116 @@
+{
+    "policy_class": {
+        ":type:": "<class 'abc.ABCMeta'>",
+        ":serialized:": "gAWVNwAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLnRkMy5wb2xpY2llc5SMEE11bHRpSW5wdXRQb2xpY3mUk5Qu",
+        "__module__": "stable_baselines3.td3.policies",
+        "__doc__": "\n    Policy class (with both actor and critic) for TD3 to be used with Dict observation spaces.\n\n    :param observation_space: Observation space\n    :param action_space: Action space\n    :param lr_schedule: Learning rate schedule (could be constant)\n    :param net_arch: The specification of the policy and value networks.\n    :param activation_fn: Activation function\n    :param features_extractor_class: Features extractor to use.\n    :param features_extractor_kwargs: Keyword arguments\n        to pass to the features extractor.\n    :param normalize_images: Whether to normalize images or not,\n         dividing by 255.0 (True by default)\n    :param optimizer_class: The optimizer to use,\n        ``th.optim.Adam`` by default\n    :param optimizer_kwargs: Additional keyword arguments,\n        excluding the learning rate, to pass to the optimizer\n    :param n_critics: Number of critic networks to create.\n    :param share_features_extractor: Whether to share or not the features extractor\n        between the actor and the critic (this saves computation time)\n    ",
+        "__init__": "<function MultiInputPolicy.__init__ at 0x7db300027eb0>",
+        "__abstractmethods__": "frozenset()",
+        "_abc_impl": "<_abc._abc_data object at 0x7db30002ac40>"
+    },
+    "verbose": 1,
+    "policy_kwargs": {
+        "n_critics": 1
+    },
+    "num_timesteps": 1000000,
+    "_total_timesteps": 1000000,
+    "_num_timesteps_at_start": 0,
+    "seed": null,
+    "action_noise": null,
+    "start_time": 1719119756982418287,
+    "learning_rate": 0.001,
+    "tensorboard_log": null,
+    "_last_obs": {
+        ":type:": "<class 'collections.OrderedDict'>",
+        ":serialized:": "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",
+        "achieved_goal": "[[-0.5524301  -1.1536498   0.03885195]\n [-0.76749235  1.0108563   0.03883878]\n [-1.5132442   1.3939399   0.03884494]\n [-0.4738599   0.06518114  0.03883878]]",
+        "desired_goal": "[[ 0.79786736 -1.6490593  -0.9044062 ]\n [-1.1436296   1.3913419   1.6661493 ]\n [ 0.43023083 -0.9170421  -1.091465  ]\n [-0.23132539  0.8442932  -1.091465  ]]",
+        "observation": "[[ 1.13537304e-01 -1.45152545e+00  1.21706712e+00  1.70428976e-01\n  -1.93695262e-01  2.04039402e-02  1.13333964e+00 -5.52430093e-01\n  -1.15364981e+00  3.88519540e-02 -5.58313495e-03 -1.21847605e-02\n   4.95511515e-04  5.53946383e-03  1.97307812e-03  1.65757816e-02\n  -4.41130425e-04 -7.11064693e-03 -1.52643328e-03]\n [ 7.97085941e-01  8.30674052e-01 -1.03128421e+00 -2.09682852e-01\n   9.56878066e-01  1.17414258e-01 -7.30506659e-01 -7.67492354e-01\n   1.01085627e+00  3.88387814e-02 -5.68505516e-03 -1.21730473e-02\n   3.17415106e-03  6.42523216e-03  2.95650144e-03  1.65757816e-02\n  -4.41077253e-04 -7.11060222e-03 -7.01483048e-04]\n [-7.70459354e-01  1.22964728e+00  1.54538214e+00 -1.22782862e+00\n   1.43343464e-01  1.98251549e-02 -9.57011461e-01 -1.51324415e+00\n   1.39393985e+00  3.88449393e-02 -5.59108751e-03 -1.27466200e-02\n  -2.02052318e-03  7.21693831e-03  1.07931136e-03  1.59302279e-02\n   4.24803002e-03 -3.78237572e-04 -2.05068639e-03]\n [-5.58283091e-01  1.74272788e+00 -1.04766405e+00  1.43272340e+00\n  -1.70824856e-01  2.61859179e-01  9.06766236e-01 -4.73859906e-01\n   6.51811361e-02  3.88387814e-02 -5.68499416e-03 -1.21729486e-02\n   4.61746333e-03  6.42516511e-03  2.95635243e-03  1.65757816e-02\n  -4.41077253e-04 -7.11060222e-03 -7.01931422e-04]]"
+    },
+    "_last_episode_starts": {
+        ":type:": "<class 'numpy.ndarray'>",
+        ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="
+    },
+    "_last_original_obs": {
+        ":type:": "<class 'collections.OrderedDict'>",
+        ":serialized:": "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",
+        "achieved_goal": "[[-0.04911035 -0.10386825  0.01998987]\n [-0.06832986  0.09023785  0.01998967]\n [-0.13497557  0.12459157  0.01998976]\n [-0.04208876  0.00543267  0.01998967]]",
+        "desired_goal": "[[ 0.06884388 -0.1427904   0.03251998]\n [-0.09976149  0.12132578  0.20456913]\n [ 0.03691723 -0.0792009   0.02      ]\n [-0.02053428  0.07380428  0.02      ]]",
+        "observation": "[[-1.61562443e-01 -4.91505176e-01  5.64866722e-01 -9.34983268e-02\n  -5.05957194e-02  3.67156900e-02  7.99994618e-02 -4.91103530e-02\n  -1.03868254e-01  1.99898705e-02 -4.32577326e-06  1.28463589e-05\n   2.15894237e-04 -4.21279537e-06 -2.81545795e-06 -2.28343039e-12\n  -4.99636582e-11  2.00739272e-10  1.35709546e-04]\n [ 8.59491900e-02  4.13070589e-01  8.81852489e-03 -2.44204685e-01\n   4.68101621e-01  8.07443559e-02  8.66853353e-03 -6.83298558e-02\n   9.02378485e-02  1.99896712e-02 -1.42357994e-05  1.35087166e-05\n   6.76444499e-04  2.01146813e-05  2.34876261e-05  1.37078057e-11\n   1.34822180e-08  1.27376474e-08  5.64105634e-04]\n [-4.81655896e-01  5.71208179e-01  6.46063566e-01 -6.47878110e-01\n   1.01346873e-01  3.64530049e-02  7.43801642e-09 -1.34975567e-01\n   1.24591574e-01  1.99897643e-02 -5.09903612e-06 -1.89275779e-05\n  -2.16698652e-04  4.18587697e-05 -2.67205487e-05 -2.00831309e-05\n   1.19320315e-03  1.88044982e-03 -1.36534771e-04]\n [-4.04827297e-01  7.74573505e-01  4.76756785e-03  4.06974912e-01\n  -4.02853638e-02  1.46301478e-01  7.13283122e-02 -4.20887582e-02\n   5.43267373e-03  1.99896712e-02 -1.42298632e-05  1.35143137e-05\n   9.24599532e-04  2.01128478e-05  2.34836461e-05  1.39270158e-11\n   1.34792284e-08  1.27254651e-08  5.63872803e-04]]"
+    },
+    "_episode_num": 20615,
+    "use_sde": false,
+    "sde_sample_freq": -1,
+    "_current_progress_remaining": 0.0,
+    "_stats_window_size": 100,
+    "ep_info_buffer": {
+        ":type:": "<class 'collections.deque'>",
+        ":serialized:": "gAWV4AsAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpRHwBwCf16E8JWMAWyUSzKMAXSUR0DHUM0HfMwDdX2UKGgGR8AWMJKJ2t+1aAdLMmgIR0DHUTVwrDqGdX2UKGgGR8ATZrVOKwY+aAdLMmgIR0DHUU8cS5AhdX2UKGgGR8AG8MI/qxC6aAdLMmgIR0DHUUYomXw9dX2UKGgGR8AWMdjoZAIIaAdLMmgIR0DHUfxnHvMKdX2UKGgGR8AgRxxT850baAdLMmgIR0DHUmVupCKKdX2UKGgGR8AhuI8hcJMQaAdLMmgIR0DHUoXJxNqQdX2UKGgGR7+eWjXWe6I4aAdLAWgIR0DHUotIClrNdX2UKGgGR8As3tJnQID6aAdLMmgIR0DHUnzfDUExdX2UKGgGR8Ao2w4bS7XhaAdLMmgIR0DHUxny7PIGdX2UKGgGR8AmGaPS2H+IaAdLMmgIR0DHU4FhoduHdX2UKGgGR8AhwMYMvyskaAdLMmgIR0DHU57987ZGdX2UKGgGR8AdtJnQID5kaAdLMmgIR0DHU5BaPjn3dX2UKGgGR8AfbO2RaHKwaAdLMmgIR0DHVDWhbnoxdX2UKGgGR8AiRVoYekpJaAdLMmgIR0DHVJ0jPfKqdX2UKGgGR8Ah7WMCLdeqaAdLMmgIR0DHVMUGZ/kOdX2UKGgGR8AWdpfx+a0AaAdLMmgIR0DHVLke6qbSdX2UKGgGR8Aq2NrCWNWEaAdLMmgIR0DHVWw6jnFHdX2UKGgGR8Ad3cN6PbPAaAdLMmgIR0DHVdN2cJ+ldX2UKGgGR8Am6zWPLgXNaAdLMmgIR0DHVgsB2fTTdX2UKGgGR8Ajkz2vjfelaAdLMmgIR0DHVgotapxWdX2UKGgGR8AoDTbWVeKLaAdLMmgIR0DHVweQEIPcdX2UKGgGR8AVU5NoJzDGaAdLMmgIR0DHV2+dPLxJdX2UKGgGR7+nueBg/keZaAdLAWgIR0DHV3YRkEs8dX2UKGgGR8AORcZ9/jKgaAdLMmgIR0DHV5W7tiQUdX2UKGgGR8Afga6z3RG+aAdLMmgIR0DHV433Dej3dX2UKGgGR8ApzE6T4cm0aAdLMmgIR0DHWECHEdeZdX2UKGgGR8AileLvTgEVaAdLMmgIR0DHWK8VeruIdX2UKGgGR8AgIt29tdiVaAdLMmgIR0DHWMo6ltTDdX2UKGgGR8AhlWn0kGA1aAdLMmgIR0DHWL4NiH6/dX2UKGgGR8Acv26ClJpWaAdLMmgIR0DHWWimuTzNdX2UKGgGR8AUMV1wHZ9NaAdLMmgIR0DHWdddgOSXdX2UKGgGR8ArYFfzBhx6aAdLMmgIR0DHWfWJN0vHdX2UKGgGR8Apz9x6v7m/aAdLMmgIR0DHWeoavRqodX2UKGgGR8AmrKRMewLWaAdLMmgIR0DHWpFz8xbjdX2UKGgGR8Aov++dsi0OaAdLMmgIR0DHWv8690zTdX2UKGgGR8AgS6vq1PWQaAdLMmgIR0DHWx3CZWq+dX2UKGgGR8AmzGza9K28aAdLMmgIR0DHWxK4c3l0dX2UKGgGR8AkL3V09yLiaAdLMmgIR0DHW7cCNjsldX2UKGgGR8AeIlZ5iVjaaAdLMmgIR0DHXCS/9Hc2dX2UKGgGR8Aj5UYsNDtxaAdLMmgIR0DHXEhaouPFdX2UKGgGR8AtgO6unuRcaAdLMmgIR0DHXEbtG/etdX2UKGgGR8Appul41P30aAdLMmgIR0DHXUw3T/hmdX2UKGgGR8Aw2tT1kDp1aAdLMmgIR0DHXb2xIJ7cdX2UKGgGR8AQQVCXyAhCaAdLMmgIR0DHXdewkgOjdX2UKGgGR8ALVVktmL9/aAdLMmgIR0DHXcvzJ6ppdX2UKGgGR8AGEDwH7gsLaAdLMmgIR0DHXn5yMkyDdX2UKGgGR8AdOkLx7RfGaAdLMmgIR0DHXuyWTot+dX2UKGgGR8ANRT6zmfXgaAdLMmgIR0DHXwx1zQu3dX2UKGgGR8ArKFA3T/hmaAdLMmgIR0DHXwJx3mmtdX2UKGgGR8Aov69CeEqUaAdLMmgIR0DHX7icurZKdX2UKGgGR8AkVONYKYzBaAdLMmgIR0DHYCbqUu+RdX2UKGgGR8AiLtY0VJtjaAdLMmgIR0DHYERpN9H+dX2UKGgGR8AYIvugHu7ZaAdLMmgIR0DHYDg2n88+dX2UKGgGR8AV4qI7/4qPaAdLMmgIR0DHYOhJiAlOdX2UKGgGR8AiEX9BKL88aAdLMmgIR0DHYVYnQY1pdX2UKGgGR8ANcfFJg9eQaAdLMmgIR0DHYXByMkyDdX2UKGgGR8AdE2LpA2Q5aAdLMmgIR0DHYWNdkauPdX2UKGgGR8Alw7CiyprDaAdLMmgIR0DHYhAicG1QdX2UKGgGR8AlIWi1y/9HaAdLMmgIR0DHYn4h6jWTdX2UKGgGR8Ai/EsJ6Y3OaAdLMmgIR0DHYpzUqhDgdX2UKGgGR8AEwKWszVMFaAdLMmgIR0DHYp0niNsFdX2UKGgGR8AX1XA/LTx5aAdLMmgIR0DHY5DOxB3SdX2UKGgGR8AkSteUpuuSaAdLMmgIR0DHZAHkBCD3dX2UKGgGR8AiUhK15Sm7aAdLMmgIR0DHZCqMcZLqdX2UKGgGR8AommtQsPJ8aAdLMmgIR0DHZBxXQtz0dX2UKGgGR8AhZlFtsN2DaAdLMmgIR0DHZMmZLIxQdX2UKGgGR8AgO/0NBnjAaAdLMmgIR0DHZTekvboKdX2UKGgGR8AievmozeoDaAdLMmgIR0DHZVgSeyzHdX2UKGgGR8An+RPGhmGuaAdLMmgIR0DHZU3+KjzqdX2UKGgGR8AecAq/dqL1aAdLMmgIR0DHZgPHFPzndX2UKGgGR7+pd+ocaOxTaAdLAWgIR0DHZgnQyAQQdX2UKGgGR8Ahf0z0pVjqaAdLMmgIR0DHZnGUY8+zdX2UKGgGR8AgBgogFHJ+aAdLMmgIR0DHZpLfR/mUdX2UKGgGR8AVeB19v0iAaAdLMmgIR0DHZokeZG8VdX2UKGgGR8AjZ1AZ88cNaAdLMmgIR0DHZzVU83dcdX2UKGgGR8ApedkJ8fFKaAdLMmgIR0DHZ5x+vyLAdX2UKGgGR8AlUAjps41haAdLMmgIR0DHZ7ghOgxrdX2UKGgGR8AnHX4j8k2QaAdLMmgIR0DHZ6nd43WGdX2UKGgGR8AgcNd7fHghaAdLMmgIR0DHaFO/N7jUdX2UKGgGR8ATZkc0cfeUaAdLMmgIR0DHaLt0o0AMdX2UKGgGR8AnZG+9Jz1caAdLMmgIR0DHaN1sSCe3dX2UKGgGR8ArySnLq2SdaAdLMmgIR0DHaNGJBPbgdX2UKGgGR8AThFc6eXiSaAdLMmgIR0DHacKPQv6CdX2UKGgGR8AWFZLZi/fwaAdLMmgIR0DHaiwm7aqTdX2UKGgGR8AYiqU/wAlwaAdLMmgIR0DHamLMaCL/dX2UKGgGR8Ahnc1O0svqaAdLMmgIR0DHal7vb48EdX2UKGgGR8AOR+SbH6uXaAdLMmgIR0DHaxAYJmdzdX2UKGgGR8AU1wfhddE9aAdLMmgIR0DHa3dkvsZ6dX2UKGgGR8AXWaScLBsRaAdLMmgIR0DHa5Idp7C0dX2UKGgGR8AocP/7zkIYaAdLMmgIR0DHa4Nk+X7cdX2UKGgGR8AnPeUILPUsaAdLMmgIR0DHbDeYc/+sdX2UKGgGR8AnfJyQxN7CaAdLMmgIR0DHbJ9RLsa9dX2UKGgGR8AeJMVUMoc8aAdLMmgIR0DHbL6+JxecdX2UKGgGR8AjfajesPrfaAdLMmgIR0DHbLJn6EamdX2UKGgGR7+cxfv4M4LkaAdLAWgIR0DHbLh6MR6GdX2UKGgGR8AjnhrnDBM0aAdLMmgIR0DHbVzErGzbdX2UKGgGR8ApkwpON5t4aAdLMmgIR0DHbcUXk5p8dX2UKGgGR8AfMigTRIBjaAdLMmgIR0DHbdyThYNidX2UKGgGR8AtpMnqmj0uaAdLMmgIR0DHbdTYh+vydWUu"
+    },
+    "ep_success_buffer": {
+        ":type:": "<class 'collections.deque'>",
+        ":serialized:": "gAWVhgAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKImJiYmJiYmIiYmJiYmJiYmJiYmJiYmJiImJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiImJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiImJiYllLg=="
+    },
+    "_n_updates": 249975,
+    "buffer_size": 1000000,
+    "batch_size": 256,
+    "learning_starts": 100,
+    "tau": 0.005,
+    "gamma": 0.99,
+    "gradient_steps": 1,
+    "optimize_memory_usage": false,
+    "replay_buffer_class": {
+        ":type:": "<class 'abc.ABCMeta'>",
+        ":serialized:": "gAWVOQAAAAAAAACMIHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5idWZmZXJzlIwQRGljdFJlcGxheUJ1ZmZlcpSTlC4=",
+        "__module__": "stable_baselines3.common.buffers",
+        "__annotations__": "{'observation_space': <class 'gymnasium.spaces.dict.Dict'>, 'obs_shape': typing.Dict[str, typing.Tuple[int, ...]], 'observations': typing.Dict[str, numpy.ndarray], 'next_observations': typing.Dict[str, numpy.ndarray]}",
+        "__doc__": "\n    Dict Replay buffer used in off-policy algorithms like SAC/TD3.\n    Extends the ReplayBuffer to use dictionary observations\n\n    :param buffer_size: Max number of element in the buffer\n    :param observation_space: Observation space\n    :param action_space: Action space\n    :param device: PyTorch device\n    :param n_envs: Number of parallel environments\n    :param optimize_memory_usage: Enable a memory efficient variant\n        Disabled for now (see https://github.com/DLR-RM/stable-baselines3/pull/243#discussion_r531535702)\n    :param handle_timeout_termination: Handle timeout termination (due to timelimit)\n        separately and treat the task as infinite horizon task.\n        https://github.com/DLR-RM/stable-baselines3/issues/284\n    ",
+        "__init__": "<function DictReplayBuffer.__init__ at 0x7db2fff63c70>",
+        "add": "<function DictReplayBuffer.add at 0x7db2fff63d00>",
+        "sample": "<function DictReplayBuffer.sample at 0x7db2fff63d90>",
+        "_get_samples": "<function DictReplayBuffer._get_samples at 0x7db2fff63e20>",
+        "__abstractmethods__": "frozenset()",
+        "_abc_impl": "<_abc._abc_data object at 0x7db2fff6d9c0>"
+    },
+    "replay_buffer_kwargs": {},
+    "train_freq": {
+        ":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>",
+        ":serialized:": "gAWVYQAAAAAAAACMJXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi50eXBlX2FsaWFzZXOUjAlUcmFpbkZyZXGUk5RLAWgAjBJUcmFpbkZyZXF1ZW5jeVVuaXSUk5SMBHN0ZXCUhZRSlIaUgZQu"
+    },
+    "use_sde_at_warmup": false,
+    "policy_delay": 1,
+    "target_noise_clip": 0.0,
+    "target_policy_noise": 0.1,
+    "observation_space": {
+        ":type:": "<class 'gymnasium.spaces.dict.Dict'>",
+        ":serialized:": "gAWVMgQAAAAAAACMFWd5bW5hc2l1bS5zcGFjZXMuZGljdJSMBERpY3SUk5QpgZR9lCiMBnNwYWNlc5SMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwUZ3ltbmFzaXVtLnNwYWNlcy5ib3iUjANCb3iUk5QpgZR9lCiMBWR0eXBllIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowNYm91bmRlZF9iZWxvd5SMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYDAAAAAAAAAAEBAZRoE4wCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksDhZSMAUOUdJRSlIwNYm91bmRlZF9hYm92ZZRoHCiWAwAAAAAAAAABAQGUaCBLA4WUaCR0lFKUjAZfc2hhcGWUSwOFlIwDbG93lGgcKJYMAAAAAAAAAAAAIMEAACDBAAAgwZRoFksDhZRoJHSUUpSMBGhpZ2iUaBwolgwAAAAAAAAAAAAgQQAAIEEAACBBlGgWSwOFlGgkdJRSlIwIbG93X3JlcHKUjAUtMTAuMJSMCWhpZ2hfcmVwcpSMBDEwLjCUjApfbnBfcmFuZG9tlE51YowMZGVzaXJlZF9nb2FslGgNKYGUfZQoaBBoFmgZaBwolgMAAAAAAAAAAQEBlGggSwOFlGgkdJRSlGgnaBwolgMAAAAAAAAAAQEBlGggSwOFlGgkdJRSlGgsSwOFlGguaBwolgwAAAAAAAAAAAAgwQAAIMEAACDBlGgWSwOFlGgkdJRSlGgzaBwolgwAAAAAAAAAAAAgQQAAIEEAACBBlGgWSwOFlGgkdJRSlGg4jAUtMTAuMJRoOowEMTAuMJRoPE51YowLb2JzZXJ2YXRpb26UaA0pgZR9lChoEGgWaBloHCiWEwAAAAAAAAABAQEBAQEBAQEBAQEBAQEBAQEBlGggSxOFlGgkdJRSlGgnaBwolhMAAAAAAAAAAQEBAQEBAQEBAQEBAQEBAQEBAZRoIEsThZRoJHSUUpRoLEsThZRoLmgcKJZMAAAAAAAAAAAAIMEAACDBAAAgwQAAIMEAACDBAAAgwQAAIMEAACDBAAAgwQAAIMEAACDBAAAgwQAAIMEAACDBAAAgwQAAIMEAACDBAAAgwQAAIMGUaBZLE4WUaCR0lFKUaDNoHCiWTAAAAAAAAAAAACBBAAAgQQAAIEEAACBBAAAgQQAAIEEAACBBAAAgQQAAIEEAACBBAAAgQQAAIEEAACBBAAAgQQAAIEEAACBBAAAgQQAAIEEAACBBlGgWSxOFlGgkdJRSlGg4jAUtMTAuMJRoOowEMTAuMJRoPE51YnVoLE5oEE5oPE51Yi4=",
+        "spaces": "OrderedDict([('achieved_goal', Box(-10.0, 10.0, (3,), float32)), ('desired_goal', Box(-10.0, 10.0, (3,), float32)), ('observation', Box(-10.0, 10.0, (19,), float32))])",
+        "_shape": null,
+        "dtype": null,
+        "_np_random": null
+    },
+    "action_space": {
+        ":type:": "<class 'gymnasium.spaces.box.Box'>",
+        ":serialized:": "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",
+        "dtype": "float32",
+        "bounded_below": "[ True  True  True  True]",
+        "bounded_above": "[ True  True  True  True]",
+        "_shape": [
+            4
+        ],
+        "low": "[-1. -1. -1. -1.]",
+        "high": "[1. 1. 1. 1.]",
+        "low_repr": "-1.0",
+        "high_repr": "1.0",
+        "_np_random": "Generator(PCG64)"
+    },
+    "n_envs": 4,
+    "lr_schedule": {
+        ":type:": "<class 'function'>",
+        ":serialized:": "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"
+    },
+    "actor_batch_norm_stats": [],
+    "critic_batch_norm_stats": [],
+    "actor_batch_norm_stats_target": [],
+    "critic_batch_norm_stats_target": []
+}

ddpg-PandaPickAndPlaceDense-v3/policy.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0827e5d905454f8a9e212d163b533a0842fad6b1dbee3345543afc7c51e7f9c2
+size 2125006

ddpg-PandaPickAndPlaceDense-v3/pytorch_variables.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0c35cea3b2e60fb5e7e162d3592df775cd400e575a31c72f359fb9e654ab00c5
+size 864

ddpg-PandaPickAndPlaceDense-v3/system_info.txt

@@ -0,0 +1,9 @@
+- OS: Linux-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sun Apr 28 14:29:16 UTC 2024
+- Python: 3.10.12
+- Stable-Baselines3: 2.3.2
+- PyTorch: 2.3.0+cu121
+- GPU Enabled: False
+- Numpy: 1.25.2
+- Cloudpickle: 2.2.1
+- Gymnasium: 0.29.1
+- OpenAI Gym: 0.25.2

results.json

@@ -0,0 +1 @@
+{"mean_reward": -9.629260579124093, "std_reward": 4.142566661089529, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-06-23T08:57:34.860850"}

vec_normalize.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:324e557b9329818e586f42bfb36505c0e21c4e11a8f68af5b8a9a64d878d7006
+size 3248