Initial commit
Browse files- README.md +37 -0
- config.json +1 -0
- replay.mp4 +0 -0
- results.json +1 -0
- sac-PandaPickAndPlace-v3.zip +3 -0
- sac-PandaPickAndPlace-v3/_stable_baselines3_version +1 -0
- sac-PandaPickAndPlace-v3/actor.optimizer.pth +3 -0
- sac-PandaPickAndPlace-v3/critic.optimizer.pth +3 -0
- sac-PandaPickAndPlace-v3/data +114 -0
- sac-PandaPickAndPlace-v3/ent_coef_optimizer.pth +3 -0
- sac-PandaPickAndPlace-v3/policy.pth +3 -0
- sac-PandaPickAndPlace-v3/pytorch_variables.pth +3 -0
- sac-PandaPickAndPlace-v3/system_info.txt +9 -0
- vec_normalize.pkl +3 -0
README.md
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: stable-baselines3
|
3 |
+
tags:
|
4 |
+
- PandaPickAndPlace-v3
|
5 |
+
- deep-reinforcement-learning
|
6 |
+
- reinforcement-learning
|
7 |
+
- stable-baselines3
|
8 |
+
model-index:
|
9 |
+
- name: SAC
|
10 |
+
results:
|
11 |
+
- task:
|
12 |
+
type: reinforcement-learning
|
13 |
+
name: reinforcement-learning
|
14 |
+
dataset:
|
15 |
+
name: PandaPickAndPlace-v3
|
16 |
+
type: PandaPickAndPlace-v3
|
17 |
+
metrics:
|
18 |
+
- type: mean_reward
|
19 |
+
value: -50.00 +/- 0.00
|
20 |
+
name: mean_reward
|
21 |
+
verified: false
|
22 |
+
---
|
23 |
+
|
24 |
+
# **SAC** Agent playing **PandaPickAndPlace-v3**
|
25 |
+
This is a trained model of a **SAC** agent playing **PandaPickAndPlace-v3**
|
26 |
+
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
|
27 |
+
|
28 |
+
## Usage (with Stable-baselines3)
|
29 |
+
TODO: Add your code
|
30 |
+
|
31 |
+
|
32 |
+
```python
|
33 |
+
from stable_baselines3 import ...
|
34 |
+
from huggingface_sb3 import load_from_hub
|
35 |
+
|
36 |
+
...
|
37 |
+
```
|
config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVNwAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLnNhYy5wb2xpY2llc5SMEE11bHRpSW5wdXRQb2xpY3mUk5Qu", "__module__": "stable_baselines3.sac.policies", "__doc__": "\n Policy class (with both actor and critic) for SAC.\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 use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param use_expln: Use ``expln()`` function instead of ``exp()`` when using gSDE to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n :param clip_mean: Clip the mean output when using gSDE to avoid numerical instability.\n :param features_extractor_class: Features extractor to use.\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 0x168e4f9d0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x168e510c0>"}, "verbose": 1, "policy_kwargs": {"use_sde": false}, "num_timesteps": 1000000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1706912213867928000, "learning_rate": 0.0003, "tensorboard_log": null, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[ 0.80793357 0.32651782 0.07256066]\n [-0.85656154 -0.8501585 0.07256066]\n [-0.9580271 -1.0305486 0.07256399]\n [-1.2365587 -1.0525197 0.0725514 ]]", "desired_goal": "[[-1.5342481 0.9560508 -1.0240804 ]\n [ 0.2129623 1.0134003 1.5548474 ]\n [ 0.27828658 0.363425 -0.87640244]\n [-1.2740207 1.3681211 0.11192741]]", "observation": "[[-3.8286811e-01 -1.1815573e+00 1.1194011e+00 -2.1665199e+00\n -1.5626431e+00 2.0952489e+00 -9.2996043e-01 8.0793357e-01\n 3.2651782e-01 7.2560661e-02 -2.7840713e-03 -6.0543930e-03\n -8.5147172e-03 2.6973074e-02 2.2722436e-03 3.3372682e-02\n -3.6157668e-04 -9.5905811e-03 -1.8158634e-03]\n [ 6.1907369e-01 -1.2233557e+00 9.2368436e-01 1.2585029e-02\n -5.0806051e-01 7.2317594e-03 1.2515411e+00 -8.5656154e-01\n -8.5015851e-01 7.2560661e-02 -2.7840575e-03 -6.0543749e-03\n -8.2501918e-03 2.6973063e-02 2.2722196e-03 3.3372682e-02\n -3.6158058e-04 -9.5905820e-03 -1.8159446e-03]\n [ 7.4496639e-01 -1.6055360e-01 1.1486709e+00 3.8741805e-02\n -7.1079773e-01 4.5607007e-01 1.2515585e+00 -9.5802712e-01\n -1.0305486e+00 7.2563991e-02 -2.7275907e-03 -6.3456153e-03\n -1.0037620e-02 2.7373988e-02 1.4023945e-03 3.3041444e-02\n 1.9215303e-03 -6.0167708e-03 -2.4889433e-03]\n [ 9.8052907e-01 1.4557660e-01 -9.2872685e-01 3.1614015e-01\n -2.3761237e-01 -1.0616633e-02 -9.2938948e-01 -1.2365587e+00\n -1.0525197e+00 7.2551399e-02 -2.7238186e-03 -5.8462205e-03\n -9.5011871e-03 2.6614226e-02 1.6755624e-03 3.3372682e-02\n -3.6160651e-04 -9.5906062e-03 -2.4505844e-03]]"}, "_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": "[[ 0.07657237 0.03210613 0.01998967]\n [-0.08337254 -0.08494167 0.01998967]\n [-0.09312259 -0.10288566 0.01998976]\n [-0.11988728 -0.10507119 0.01998941]]", "desired_goal": "[[-0.13237545 0.08386175 0.02521118]\n [ 0.01860744 0.08887096 0.1969348 ]\n [ 0.02425235 0.03209858 0.03504464]\n [-0.10988823 0.11985421 0.10085478]]", "observation": "[[-1.79625303e-01 -2.77982235e-01 4.41446990e-01 -6.29536510e-01\n -5.16124845e-01 8.01236629e-01 -2.01868659e-07 7.65723661e-02\n 3.21061313e-02 1.99896712e-02 -1.42466388e-05 1.34985139e-05\n 2.24991294e-04 2.01179846e-05 2.34947602e-05 4.63942114e-11\n 1.55213087e-08 1.31416336e-08 5.64528338e-04]\n [ 9.64939222e-02 -2.88998991e-01 3.99862677e-01 -6.81653321e-02\n -1.58894598e-01 1.37921376e-02 7.99989998e-02 -8.33725408e-02\n -8.49416703e-02 1.99896712e-02 -1.42444333e-05 1.35005630e-05\n 3.15308978e-04 2.01173225e-05 2.34933723e-05 1.34354299e-11\n 1.34886280e-08 1.27558719e-08 5.64443879e-04]\n [ 1.31187961e-01 -8.87769647e-03 4.47665989e-01 -6.14269413e-02\n -2.27569982e-01 1.83060512e-01 7.99996406e-02 -9.31225866e-02\n -1.02885656e-01 1.99897643e-02 -5.09906386e-06 -1.89277253e-05\n -2.94977712e-04 4.18567979e-05 -2.67235591e-05 -2.00833074e-05\n 1.19334669e-03 1.88036787e-03 -1.36609247e-04]\n [ 1.96105286e-01 7.18086213e-02 6.27729949e-03 1.00351637e-02\n -6.72827587e-02 7.06105353e-03 2.07353078e-05 -1.19887285e-01\n -1.05071194e-01 1.99894123e-02 -4.48813762e-06 3.66775530e-05\n -1.11821981e-04 6.60050887e-07 -1.09529756e-05 -3.99781250e-12\n -6.72715147e-11 2.51643872e-10 -9.66513180e-05]]"}, "_episode_num": 20767, "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:": "gAWVhgAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKImJiYmJiImJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYiJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiImJiYmJiYmJiYllLg=="}, "_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 0x168da4a60>", "add": "<function DictReplayBuffer.add at 0x168da4af0>", "sample": "<function DictReplayBuffer.sample at 0x168da4b80>", "_get_samples": "<function DictReplayBuffer._get_samples at 0x168da4c10>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x168da6480>"}, "replay_buffer_kwargs": {}, "train_freq": {":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>", ":serialized:": "gAWVYQAAAAAAAACMJXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi50eXBlX2FsaWFzZXOUjAlUcmFpbkZyZXGUk5RLAWgAjBJUcmFpbkZyZXF1ZW5jeVVuaXSUk5SMBHN0ZXCUhZRSlIaUgZQu"}, "use_sde_at_warmup": false, "target_entropy": -4.0, "ent_coef": "auto", "target_update_interval": 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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"}, "batch_norm_stats": [], "batch_norm_stats_target": [], "system_info": {"OS": "macOS-14.1.1-arm64-i386-64bit Darwin Kernel Version 23.1.0: Mon Oct 9 21:27:24 PDT 2023; root:xnu-10002.41.9~6/RELEASE_ARM64_T6000", "Python": "3.9.18", "Stable-Baselines3": "2.2.1", "PyTorch": "2.2.0", "GPU Enabled": "False", "Numpy": "1.26.3", "Cloudpickle": "2.2.1", "Gymnasium": "0.29.1", "OpenAI Gym": "0.26.2"}}
|
replay.mp4
ADDED
Binary file (657 kB). View file
|
|
results.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"mean_reward": -50.0, "std_reward": 0.0, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-02-02T18:46:21.025433"}
|
sac-PandaPickAndPlace-v3.zip
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:35247e9e94fc987287eab4aea454bacaf32030615aef245a790d6eae3f6b4fd6
|
3 |
+
size 3304823
|
sac-PandaPickAndPlace-v3/_stable_baselines3_version
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
2.2.1
|
sac-PandaPickAndPlace-v3/actor.optimizer.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:41cbb9e1ab3c7f00cd26a9b4af9018b16dbba5a7afcdfee8f364dab833c08637
|
3 |
+
size 602702
|
sac-PandaPickAndPlace-v3/critic.optimizer.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5f89094da5fadc0fafa43293e14a276716c18cb5b34dee1cb00d1624db85e05f
|
3 |
+
size 1189290
|
sac-PandaPickAndPlace-v3/data
ADDED
@@ -0,0 +1,114 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"policy_class": {
|
3 |
+
":type:": "<class 'abc.ABCMeta'>",
|
4 |
+
":serialized:": "gAWVNwAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLnNhYy5wb2xpY2llc5SMEE11bHRpSW5wdXRQb2xpY3mUk5Qu",
|
5 |
+
"__module__": "stable_baselines3.sac.policies",
|
6 |
+
"__doc__": "\n Policy class (with both actor and critic) for SAC.\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 use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param use_expln: Use ``expln()`` function instead of ``exp()`` when using gSDE to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n :param clip_mean: Clip the mean output when using gSDE to avoid numerical instability.\n :param features_extractor_class: Features extractor to use.\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 ",
|
7 |
+
"__init__": "<function MultiInputPolicy.__init__ at 0x168e4f9d0>",
|
8 |
+
"__abstractmethods__": "frozenset()",
|
9 |
+
"_abc_impl": "<_abc._abc_data object at 0x168e510c0>"
|
10 |
+
},
|
11 |
+
"verbose": 1,
|
12 |
+
"policy_kwargs": {
|
13 |
+
"use_sde": false
|
14 |
+
},
|
15 |
+
"num_timesteps": 1000000,
|
16 |
+
"_total_timesteps": 1000000,
|
17 |
+
"_num_timesteps_at_start": 0,
|
18 |
+
"seed": null,
|
19 |
+
"action_noise": null,
|
20 |
+
"start_time": 1706912213867928000,
|
21 |
+
"learning_rate": 0.0003,
|
22 |
+
"tensorboard_log": null,
|
23 |
+
"_last_obs": {
|
24 |
+
":type:": "<class 'collections.OrderedDict'>",
|
25 |
+
":serialized:": "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",
|
26 |
+
"achieved_goal": "[[ 0.80793357 0.32651782 0.07256066]\n [-0.85656154 -0.8501585 0.07256066]\n [-0.9580271 -1.0305486 0.07256399]\n [-1.2365587 -1.0525197 0.0725514 ]]",
|
27 |
+
"desired_goal": "[[-1.5342481 0.9560508 -1.0240804 ]\n [ 0.2129623 1.0134003 1.5548474 ]\n [ 0.27828658 0.363425 -0.87640244]\n [-1.2740207 1.3681211 0.11192741]]",
|
28 |
+
"observation": "[[-3.8286811e-01 -1.1815573e+00 1.1194011e+00 -2.1665199e+00\n -1.5626431e+00 2.0952489e+00 -9.2996043e-01 8.0793357e-01\n 3.2651782e-01 7.2560661e-02 -2.7840713e-03 -6.0543930e-03\n -8.5147172e-03 2.6973074e-02 2.2722436e-03 3.3372682e-02\n -3.6157668e-04 -9.5905811e-03 -1.8158634e-03]\n [ 6.1907369e-01 -1.2233557e+00 9.2368436e-01 1.2585029e-02\n -5.0806051e-01 7.2317594e-03 1.2515411e+00 -8.5656154e-01\n -8.5015851e-01 7.2560661e-02 -2.7840575e-03 -6.0543749e-03\n -8.2501918e-03 2.6973063e-02 2.2722196e-03 3.3372682e-02\n -3.6158058e-04 -9.5905820e-03 -1.8159446e-03]\n [ 7.4496639e-01 -1.6055360e-01 1.1486709e+00 3.8741805e-02\n -7.1079773e-01 4.5607007e-01 1.2515585e+00 -9.5802712e-01\n -1.0305486e+00 7.2563991e-02 -2.7275907e-03 -6.3456153e-03\n -1.0037620e-02 2.7373988e-02 1.4023945e-03 3.3041444e-02\n 1.9215303e-03 -6.0167708e-03 -2.4889433e-03]\n [ 9.8052907e-01 1.4557660e-01 -9.2872685e-01 3.1614015e-01\n -2.3761237e-01 -1.0616633e-02 -9.2938948e-01 -1.2365587e+00\n -1.0525197e+00 7.2551399e-02 -2.7238186e-03 -5.8462205e-03\n -9.5011871e-03 2.6614226e-02 1.6755624e-03 3.3372682e-02\n -3.6160651e-04 -9.5906062e-03 -2.4505844e-03]]"
|
29 |
+
},
|
30 |
+
"_last_episode_starts": {
|
31 |
+
":type:": "<class 'numpy.ndarray'>",
|
32 |
+
":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="
|
33 |
+
},
|
34 |
+
"_last_original_obs": {
|
35 |
+
":type:": "<class 'collections.OrderedDict'>",
|
36 |
+
":serialized:": "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",
|
37 |
+
"achieved_goal": "[[ 0.07657237 0.03210613 0.01998967]\n [-0.08337254 -0.08494167 0.01998967]\n [-0.09312259 -0.10288566 0.01998976]\n [-0.11988728 -0.10507119 0.01998941]]",
|
38 |
+
"desired_goal": "[[-0.13237545 0.08386175 0.02521118]\n [ 0.01860744 0.08887096 0.1969348 ]\n [ 0.02425235 0.03209858 0.03504464]\n [-0.10988823 0.11985421 0.10085478]]",
|
39 |
+
"observation": "[[-1.79625303e-01 -2.77982235e-01 4.41446990e-01 -6.29536510e-01\n -5.16124845e-01 8.01236629e-01 -2.01868659e-07 7.65723661e-02\n 3.21061313e-02 1.99896712e-02 -1.42466388e-05 1.34985139e-05\n 2.24991294e-04 2.01179846e-05 2.34947602e-05 4.63942114e-11\n 1.55213087e-08 1.31416336e-08 5.64528338e-04]\n [ 9.64939222e-02 -2.88998991e-01 3.99862677e-01 -6.81653321e-02\n -1.58894598e-01 1.37921376e-02 7.99989998e-02 -8.33725408e-02\n -8.49416703e-02 1.99896712e-02 -1.42444333e-05 1.35005630e-05\n 3.15308978e-04 2.01173225e-05 2.34933723e-05 1.34354299e-11\n 1.34886280e-08 1.27558719e-08 5.64443879e-04]\n [ 1.31187961e-01 -8.87769647e-03 4.47665989e-01 -6.14269413e-02\n -2.27569982e-01 1.83060512e-01 7.99996406e-02 -9.31225866e-02\n -1.02885656e-01 1.99897643e-02 -5.09906386e-06 -1.89277253e-05\n -2.94977712e-04 4.18567979e-05 -2.67235591e-05 -2.00833074e-05\n 1.19334669e-03 1.88036787e-03 -1.36609247e-04]\n [ 1.96105286e-01 7.18086213e-02 6.27729949e-03 1.00351637e-02\n -6.72827587e-02 7.06105353e-03 2.07353078e-05 -1.19887285e-01\n -1.05071194e-01 1.99894123e-02 -4.48813762e-06 3.66775530e-05\n -1.11821981e-04 6.60050887e-07 -1.09529756e-05 -3.99781250e-12\n -6.72715147e-11 2.51643872e-10 -9.66513180e-05]]"
|
40 |
+
},
|
41 |
+
"_episode_num": 20767,
|
42 |
+
"use_sde": false,
|
43 |
+
"sde_sample_freq": -1,
|
44 |
+
"_current_progress_remaining": 0.0,
|
45 |
+
"_stats_window_size": 100,
|
46 |
+
"ep_info_buffer": {
|
47 |
+
":type:": "<class 'collections.deque'>",
|
48 |
+
":serialized:": "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"
|
49 |
+
},
|
50 |
+
"ep_success_buffer": {
|
51 |
+
":type:": "<class 'collections.deque'>",
|
52 |
+
":serialized:": "gAWVhgAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKImJiYmJiImJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYiJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiYmJiImJiYmJiYmJiYllLg=="
|
53 |
+
},
|
54 |
+
"_n_updates": 249975,
|
55 |
+
"buffer_size": 1000000,
|
56 |
+
"batch_size": 256,
|
57 |
+
"learning_starts": 100,
|
58 |
+
"tau": 0.005,
|
59 |
+
"gamma": 0.99,
|
60 |
+
"gradient_steps": 1,
|
61 |
+
"optimize_memory_usage": false,
|
62 |
+
"replay_buffer_class": {
|
63 |
+
":type:": "<class 'abc.ABCMeta'>",
|
64 |
+
":serialized:": "gAWVOQAAAAAAAACMIHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5idWZmZXJzlIwQRGljdFJlcGxheUJ1ZmZlcpSTlC4=",
|
65 |
+
"__module__": "stable_baselines3.common.buffers",
|
66 |
+
"__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]}",
|
67 |
+
"__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 ",
|
68 |
+
"__init__": "<function DictReplayBuffer.__init__ at 0x168da4a60>",
|
69 |
+
"add": "<function DictReplayBuffer.add at 0x168da4af0>",
|
70 |
+
"sample": "<function DictReplayBuffer.sample at 0x168da4b80>",
|
71 |
+
"_get_samples": "<function DictReplayBuffer._get_samples at 0x168da4c10>",
|
72 |
+
"__abstractmethods__": "frozenset()",
|
73 |
+
"_abc_impl": "<_abc._abc_data object at 0x168da6480>"
|
74 |
+
},
|
75 |
+
"replay_buffer_kwargs": {},
|
76 |
+
"train_freq": {
|
77 |
+
":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>",
|
78 |
+
":serialized:": "gAWVYQAAAAAAAACMJXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi50eXBlX2FsaWFzZXOUjAlUcmFpbkZyZXGUk5RLAWgAjBJUcmFpbkZyZXF1ZW5jeVVuaXSUk5SMBHN0ZXCUhZRSlIaUgZQu"
|
79 |
+
},
|
80 |
+
"use_sde_at_warmup": false,
|
81 |
+
"target_entropy": -4.0,
|
82 |
+
"ent_coef": "auto",
|
83 |
+
"target_update_interval": 1,
|
84 |
+
"observation_space": {
|
85 |
+
":type:": "<class 'gymnasium.spaces.dict.Dict'>",
|
86 |
+
":serialized:": "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",
|
87 |
+
"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))])",
|
88 |
+
"_shape": null,
|
89 |
+
"dtype": null,
|
90 |
+
"_np_random": null
|
91 |
+
},
|
92 |
+
"action_space": {
|
93 |
+
":type:": "<class 'gymnasium.spaces.box.Box'>",
|
94 |
+
":serialized:": "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",
|
95 |
+
"dtype": "float32",
|
96 |
+
"bounded_below": "[ True True True True]",
|
97 |
+
"bounded_above": "[ True True True True]",
|
98 |
+
"_shape": [
|
99 |
+
4
|
100 |
+
],
|
101 |
+
"low": "[-1. -1. -1. -1.]",
|
102 |
+
"high": "[1. 1. 1. 1.]",
|
103 |
+
"low_repr": "-1.0",
|
104 |
+
"high_repr": "1.0",
|
105 |
+
"_np_random": "Generator(PCG64)"
|
106 |
+
},
|
107 |
+
"n_envs": 4,
|
108 |
+
"lr_schedule": {
|
109 |
+
":type:": "<class 'function'>",
|
110 |
+
":serialized:": "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"
|
111 |
+
},
|
112 |
+
"batch_norm_stats": [],
|
113 |
+
"batch_norm_stats_target": []
|
114 |
+
}
|
sac-PandaPickAndPlace-v3/ent_coef_optimizer.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0516da60d67eae758057be751ef4f18a26fd4418d513e462b3f8c8f4fae8626e
|
3 |
+
size 1940
|
sac-PandaPickAndPlace-v3/policy.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2a8d72b9cdef7585100d8590d684f558b7398c34975c22708e17cdbb309cdd9b
|
3 |
+
size 1489334
|
sac-PandaPickAndPlace-v3/pytorch_variables.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d1b47646d30b08d68f8304f74ab185b55a02c36441b9adbd29be9caa3bfcfc12
|
3 |
+
size 1180
|
sac-PandaPickAndPlace-v3/system_info.txt
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
- OS: macOS-14.1.1-arm64-i386-64bit Darwin Kernel Version 23.1.0: Mon Oct 9 21:27:24 PDT 2023; root:xnu-10002.41.9~6/RELEASE_ARM64_T6000
|
2 |
+
- Python: 3.9.18
|
3 |
+
- Stable-Baselines3: 2.2.1
|
4 |
+
- PyTorch: 2.2.0
|
5 |
+
- GPU Enabled: False
|
6 |
+
- Numpy: 1.26.3
|
7 |
+
- Cloudpickle: 2.2.1
|
8 |
+
- Gymnasium: 0.29.1
|
9 |
+
- OpenAI Gym: 0.26.2
|
vec_normalize.pkl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b14fd1470e203df6df217dd6686ff7bce5868a12c3fa84e0e1129841f1f5b83f
|
3 |
+
size 3248
|