rossHuggingMay
commited on
Commit
•
c99a65e
1
Parent(s):
b5f1e42
Initial commit
Browse files- README.md +1 -1
- a2c-PandaReachDense-v2.zip +2 -2
- a2c-PandaReachDense-v2/data +20 -18
- a2c-PandaReachDense-v2/policy.optimizer.pth +2 -2
- a2c-PandaReachDense-v2/policy.pth +2 -2
- config.json +1 -1
- replay.mp4 +0 -0
- results.json +1 -1
- vec_normalize.pkl +1 -1
README.md
CHANGED
@@ -16,7 +16,7 @@ model-index:
|
|
16 |
type: PandaReachDense-v2
|
17 |
metrics:
|
18 |
- type: mean_reward
|
19 |
-
value: -
|
20 |
name: mean_reward
|
21 |
verified: false
|
22 |
---
|
|
|
16 |
type: PandaReachDense-v2
|
17 |
metrics:
|
18 |
- type: mean_reward
|
19 |
+
value: -0.70 +/- 0.20
|
20 |
name: mean_reward
|
21 |
verified: false
|
22 |
---
|
a2c-PandaReachDense-v2.zip
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:363951b848347d1af38b2351f426fe28208990079fe7bc85faf00c290c6c4b84
|
3 |
+
size 109537
|
a2c-PandaReachDense-v2/data
CHANGED
@@ -11,7 +11,9 @@
|
|
11 |
"verbose": 1,
|
12 |
"policy_kwargs": {
|
13 |
":type:": "<class 'dict'>",
|
14 |
-
":serialized:": "
|
|
|
|
|
15 |
"optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>",
|
16 |
"optimizer_kwargs": {
|
17 |
"alpha": 0.99,
|
@@ -41,24 +43,24 @@
|
|
41 |
"_np_random": null
|
42 |
},
|
43 |
"n_envs": 4,
|
44 |
-
"num_timesteps":
|
45 |
-
"_total_timesteps":
|
46 |
"_num_timesteps_at_start": 0,
|
47 |
"seed": null,
|
48 |
"action_noise": null,
|
49 |
-
"start_time":
|
50 |
-
"learning_rate": 0.
|
51 |
"tensorboard_log": null,
|
52 |
"lr_schedule": {
|
53 |
":type:": "<class 'function'>",
|
54 |
-
":serialized:": "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
|
55 |
},
|
56 |
"_last_obs": {
|
57 |
":type:": "<class 'collections.OrderedDict'>",
|
58 |
-
":serialized:": "
|
59 |
-
"achieved_goal": "[[ 0.
|
60 |
-
"desired_goal": "[[
|
61 |
-
"observation": "[[ 0.
|
62 |
},
|
63 |
"_last_episode_starts": {
|
64 |
":type:": "<class 'numpy.ndarray'>",
|
@@ -66,29 +68,29 @@
|
|
66 |
},
|
67 |
"_last_original_obs": {
|
68 |
":type:": "<class 'collections.OrderedDict'>",
|
69 |
-
":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAA6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////
|
70 |
"achieved_goal": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]]",
|
71 |
-
"desired_goal": "[[
|
72 |
"observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]]"
|
73 |
},
|
74 |
"_episode_num": 0,
|
75 |
-
"use_sde":
|
76 |
"sde_sample_freq": -1,
|
77 |
"_current_progress_remaining": 0.0,
|
78 |
"ep_info_buffer": {
|
79 |
":type:": "<class 'collections.deque'>",
|
80 |
-
":serialized:": "gAWVHRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////
|
81 |
},
|
82 |
"ep_success_buffer": {
|
83 |
":type:": "<class 'collections.deque'>",
|
84 |
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
|
85 |
},
|
86 |
-
"_n_updates":
|
87 |
-
"n_steps":
|
88 |
"gamma": 0.99,
|
89 |
-
"gae_lambda":
|
90 |
"ent_coef": 0.0,
|
91 |
-
"vf_coef": 0.
|
92 |
"max_grad_norm": 0.5,
|
93 |
"normalize_advantage": false
|
94 |
}
|
|
|
11 |
"verbose": 1,
|
12 |
"policy_kwargs": {
|
13 |
":type:": "<class 'dict'>",
|
14 |
+
":serialized:": "gAWVowAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/v///4wKb3J0aG9faW5pdJSJjA9vcHRpbWl6ZXJfY2xhc3OUjBN0b3JjaC5vcHRpbS5ybXNwcm9wlIwHUk1TcHJvcJSTlIwQb3B0aW1pemVyX2t3YXJnc5R9lCiMBWFscGhhlEc/764UeuFHrowDZXBzlEc+5Pi1iONo8YwMd2VpZ2h0X2RlY2F5lEsAdXUu",
|
15 |
+
"log_std_init": -2,
|
16 |
+
"ortho_init": false,
|
17 |
"optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>",
|
18 |
"optimizer_kwargs": {
|
19 |
"alpha": 0.99,
|
|
|
43 |
"_np_random": null
|
44 |
},
|
45 |
"n_envs": 4,
|
46 |
+
"num_timesteps": 1500000,
|
47 |
+
"_total_timesteps": 1500000,
|
48 |
"_num_timesteps_at_start": 0,
|
49 |
"seed": null,
|
50 |
"action_noise": null,
|
51 |
+
"start_time": 1679911944770485933,
|
52 |
+
"learning_rate": 0.00096,
|
53 |
"tensorboard_log": null,
|
54 |
"lr_schedule": {
|
55 |
":type:": "<class 'function'>",
|
56 |
+
":serialized:": "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"
|
57 |
},
|
58 |
"_last_obs": {
|
59 |
":type:": "<class 'collections.OrderedDict'>",
|
60 |
+
":serialized:": "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",
|
61 |
+
"achieved_goal": "[[ 0.44562453 -0.00885668 0.5494983 ]\n [ 0.44562453 -0.00885668 0.5494983 ]\n [ 0.44562453 -0.00885668 0.5494983 ]\n [ 0.44562453 -0.00885668 0.5494983 ]]",
|
62 |
+
"desired_goal": "[[-0.03537314 1.5312221 0.8967294 ]\n [ 0.9715408 1.4773439 -0.92169267]\n [-0.14714062 -1.5418037 1.5311855 ]\n [-1.7271107 -1.6812499 0.14906885]]",
|
63 |
+
"observation": "[[ 0.44562453 -0.00885668 0.5494983 0.07122874 -0.0007578 0.05606297]\n [ 0.44562453 -0.00885668 0.5494983 0.07122874 -0.0007578 0.05606297]\n [ 0.44562453 -0.00885668 0.5494983 0.07122874 -0.0007578 0.05606297]\n [ 0.44562453 -0.00885668 0.5494983 0.07122874 -0.0007578 0.05606297]]"
|
64 |
},
|
65 |
"_last_episode_starts": {
|
66 |
":type:": "<class 'numpy.ndarray'>",
|
|
|
68 |
},
|
69 |
"_last_original_obs": {
|
70 |
":type:": "<class 'collections.OrderedDict'>",
|
71 |
+
":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAA6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAOK4WPpxHpD3Qj2c90LebPYdiBD0Zdz88QU+AvQgvnz0f43g+oh9Sva1Axr0jOak9lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAACUaA5LBEsGhpRoEnSUUpR1Lg==",
|
72 |
"achieved_goal": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]]",
|
73 |
+
"desired_goal": "[[ 0.14714897 0.08021471 0.05653363]\n [ 0.07603419 0.03232053 0.01168611]\n [-0.06265116 0.07772642 0.2430539 ]\n [-0.0512997 -0.09680305 0.08262851]]",
|
74 |
"observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]]"
|
75 |
},
|
76 |
"_episode_num": 0,
|
77 |
+
"use_sde": true,
|
78 |
"sde_sample_freq": -1,
|
79 |
"_current_progress_remaining": 0.0,
|
80 |
"ep_info_buffer": {
|
81 |
":type:": "<class 'collections.deque'>",
|
82 |
+
":serialized:": "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"
|
83 |
},
|
84 |
"ep_success_buffer": {
|
85 |
":type:": "<class 'collections.deque'>",
|
86 |
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
|
87 |
},
|
88 |
+
"_n_updates": 46875,
|
89 |
+
"n_steps": 8,
|
90 |
"gamma": 0.99,
|
91 |
+
"gae_lambda": 0.9,
|
92 |
"ent_coef": 0.0,
|
93 |
+
"vf_coef": 0.4,
|
94 |
"max_grad_norm": 0.5,
|
95 |
"normalize_advantage": false
|
96 |
}
|
a2c-PandaReachDense-v2/policy.optimizer.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7d97d4c3b51f2e09c9989609a84a9282f6f9c62cc0e3ff3649e5d626098414a0
|
3 |
+
size 45438
|
a2c-PandaReachDense-v2/policy.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:850f2f6f6827865d14252ed8d5e21055be0e3ab60faab49296a496fb41177f1e
|
3 |
+
size 46718
|
config.json
CHANGED
@@ -1 +1 @@
|
|
1 |
-
{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVRQAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMG011bHRpSW5wdXRBY3RvckNyaXRpY1BvbGljeZSTlC4=", "__module__": "stable_baselines3.common.policies", "__doc__": "\n MultiInputActorClass policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\n\n :param observation_space: Observation space (Tuple)\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 ortho_init: Whether to use or not orthogonal initialization\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 full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param use_expln: Use ``expln()`` function instead of ``exp()`` 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 squash_output: Whether to squash the output using a tanh function,\n this allows to ensure boundaries when using gSDE.\n :param features_extractor_class: Uses the CombinedExtractor\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param share_features_extractor: If True, the features extractor is shared between the policy and value networks.\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 ", "__init__": "<function MultiInputActorCriticPolicy.__init__ at 0x7f87d15af040>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f87d15aad80>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gAWVgQAAAAAAAAB9lCiMD29wdGltaXplcl9jbGFzc5SME3RvcmNoLm9wdGltLnJtc3Byb3CUjAdSTVNwcm9wlJOUjBBvcHRpbWl6ZXJfa3dhcmdzlH2UKIwFYWxwaGGURz/vrhR64UeujANlcHOURz7k+LWI42jxjAx3ZWlnaHRfZGVjYXmUSwB1dS4=", "optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>", "optimizer_kwargs": {"alpha": 0.99, "eps": 1e-05, "weight_decay": 0}}, "observation_space": {":type:": "<class 'gym.spaces.dict.Dict'>", ":serialized:": "gAWVUgMAAAAAAACMD2d5bS5zcGFjZXMuZGljdJSMBERpY3SUk5QpgZR9lCiMBnNwYWNlc5SMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwOZ3ltLnNwYWNlcy5ib3iUjANCb3iUk5QpgZR9lCiMBWR0eXBllIwFbnVtcHmUaBCTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowGX3NoYXBllEsDhZSMA2xvd5SMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYMAAAAAAAAAAAAIMEAACDBAAAgwZRoFUsDhZSMAUOUdJRSlIwEaGlnaJRoHSiWDAAAAAAAAAAAACBBAAAgQQAAIEGUaBVLA4WUaCB0lFKUjA1ib3VuZGVkX2JlbG93lGgdKJYDAAAAAAAAAAEBAZRoEowCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksDhZRoIHSUUpSMDWJvdW5kZWRfYWJvdmWUaB0olgMAAAAAAAAAAQEBlGgsSwOFlGggdJRSlIwKX25wX3JhbmRvbZROdWKMDGRlc2lyZWRfZ29hbJRoDSmBlH2UKGgQaBVoGEsDhZRoGmgdKJYMAAAAAAAAAAAAIMEAACDBAAAgwZRoFUsDhZRoIHSUUpRoI2gdKJYMAAAAAAAAAAAAIEEAACBBAAAgQZRoFUsDhZRoIHSUUpRoKGgdKJYDAAAAAAAAAAEBAZRoLEsDhZRoIHSUUpRoMmgdKJYDAAAAAAAAAAEBAZRoLEsDhZRoIHSUUpRoN051YowLb2JzZXJ2YXRpb26UaA0pgZR9lChoEGgVaBhLBoWUaBpoHSiWGAAAAAAAAAAAACDBAAAgwQAAIMEAACDBAAAgwQAAIMGUaBVLBoWUaCB0lFKUaCNoHSiWGAAAAAAAAAAAACBBAAAgQQAAIEEAACBBAAAgQQAAIEGUaBVLBoWUaCB0lFKUaChoHSiWBgAAAAAAAAABAQEBAQGUaCxLBoWUaCB0lFKUaDJoHSiWBgAAAAAAAAABAQEBAQGUaCxLBoWUaCB0lFKUaDdOdWJ1aBhOaBBOaDdOdWIu", "spaces": "OrderedDict([('achieved_goal', Box([-10. -10. -10.], [10. 10. 10.], (3,), float32)), ('desired_goal', Box([-10. -10. -10.], [10. 10. 10.], (3,), float32)), ('observation', Box([-10. -10. -10. -10. -10. -10.], [10. 10. 10. 10. 10. 10.], (6,), float32))])", "_shape": null, "dtype": null, "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [3], "low": "[-1. -1. -1.]", "high": "[1. 1. 1.]", "bounded_below": "[ True True True]", "bounded_above": "[ True True True]", "_np_random": null}, "n_envs": 4, "num_timesteps": 1000000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1679906991545888337, "learning_rate": 0.0007, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[ 0.55696285 -0.02563244 0.5427378 ]\n [ 0.55696285 -0.02563244 0.5427378 ]\n [ 0.55696285 -0.02563244 0.5427378 ]\n [ 0.55696285 -0.02563244 0.5427378 ]]", "desired_goal": "[[ 1.4889542 -0.95800966 -1.1952142 ]\n [ 0.46628287 1.0745217 1.4783809 ]\n [-1.5785334 -1.3762285 1.7016084 ]\n [-0.692265 0.9229084 -1.334053 ]]", "observation": "[[ 0.55696285 -0.02563244 0.5427378 0.01834452 0.00101476 0.02244701]\n [ 0.55696285 -0.02563244 0.5427378 0.01834452 0.00101476 0.02244701]\n [ 0.55696285 -0.02563244 0.5427378 0.01834452 0.00101476 0.02244701]\n [ 0.55696285 -0.02563244 0.5427378 0.01834452 0.00101476 0.02244701]]"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAA6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAAfKzvG/WrL1MNSo+VBe8Pd3hYjyg/hY+gVMvvaBMl7wuwIg+kGQTvfZ9CL4+usw9lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAACUaA5LBEsGhpRoEnSUUpR1Lg==", "achieved_goal": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]]", "desired_goal": "[[-0.02196598 -0.08439337 0.16621894]\n [ 0.09184137 0.0138478 0.14745569]\n [-0.04280424 -0.01846915 0.2670912 ]\n [-0.03598458 -0.133293 0.0999646 ]]", "observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]]"}, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": 0.0, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 50000, "n_steps": 5, "gamma": 0.99, "gae_lambda": 1.0, "ent_coef": 0.0, "vf_coef": 0.5, "max_grad_norm": 0.5, "normalize_advantage": false, "system_info": {"OS": "Linux-5.10.147+-x86_64-with-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.9.16", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}
|
|
|
1 |
+
{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVRQAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMG011bHRpSW5wdXRBY3RvckNyaXRpY1BvbGljeZSTlC4=", "__module__": "stable_baselines3.common.policies", "__doc__": "\n MultiInputActorClass policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\n\n :param observation_space: Observation space (Tuple)\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 ortho_init: Whether to use or not orthogonal initialization\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 full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param use_expln: Use ``expln()`` function instead of ``exp()`` 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 squash_output: Whether to squash the output using a tanh function,\n this allows to ensure boundaries when using gSDE.\n :param features_extractor_class: Uses the CombinedExtractor\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param share_features_extractor: If True, the features extractor is shared between the policy and value networks.\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 ", "__init__": "<function MultiInputActorCriticPolicy.__init__ at 0x7f87d15af040>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f87d15aad80>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gAWVowAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/v///4wKb3J0aG9faW5pdJSJjA9vcHRpbWl6ZXJfY2xhc3OUjBN0b3JjaC5vcHRpbS5ybXNwcm9wlIwHUk1TcHJvcJSTlIwQb3B0aW1pemVyX2t3YXJnc5R9lCiMBWFscGhhlEc/764UeuFHrowDZXBzlEc+5Pi1iONo8YwMd2VpZ2h0X2RlY2F5lEsAdXUu", "log_std_init": -2, "ortho_init": false, "optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>", "optimizer_kwargs": {"alpha": 0.99, "eps": 1e-05, "weight_decay": 0}}, "observation_space": {":type:": "<class 'gym.spaces.dict.Dict'>", ":serialized:": "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", "spaces": "OrderedDict([('achieved_goal', Box([-10. -10. -10.], [10. 10. 10.], (3,), float32)), ('desired_goal', Box([-10. -10. -10.], [10. 10. 10.], (3,), float32)), ('observation', Box([-10. -10. -10. -10. -10. -10.], [10. 10. 10. 10. 10. 10.], (6,), float32))])", "_shape": null, "dtype": null, "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [3], "low": "[-1. -1. -1.]", "high": "[1. 1. 1.]", "bounded_below": "[ True True True]", "bounded_above": "[ True True True]", "_np_random": null}, "n_envs": 4, "num_timesteps": 1500000, "_total_timesteps": 1500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1679911944770485933, "learning_rate": 0.00096, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "gAWVwwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOS9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4JDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOS9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGgffZR9lChoFmgNjAxfX3F1YWxuYW1lX1+UjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoF4wHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/T3UQTVUdaYWUUpSFlIwXX2Nsb3VkcGlja2xlX3N1Ym1vZHVsZXOUXZSMC19fZ2xvYmFsc19flH2UdYaUhlIwLg=="}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[ 0.44562453 -0.00885668 0.5494983 ]\n [ 0.44562453 -0.00885668 0.5494983 ]\n [ 0.44562453 -0.00885668 0.5494983 ]\n [ 0.44562453 -0.00885668 0.5494983 ]]", "desired_goal": "[[-0.03537314 1.5312221 0.8967294 ]\n [ 0.9715408 1.4773439 -0.92169267]\n [-0.14714062 -1.5418037 1.5311855 ]\n [-1.7271107 -1.6812499 0.14906885]]", "observation": "[[ 0.44562453 -0.00885668 0.5494983 0.07122874 -0.0007578 0.05606297]\n [ 0.44562453 -0.00885668 0.5494983 0.07122874 -0.0007578 0.05606297]\n [ 0.44562453 -0.00885668 0.5494983 0.07122874 -0.0007578 0.05606297]\n [ 0.44562453 -0.00885668 0.5494983 0.07122874 -0.0007578 0.05606297]]"}, "_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": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]]", "desired_goal": "[[ 0.14714897 0.08021471 0.05653363]\n [ 0.07603419 0.03232053 0.01168611]\n [-0.06265116 0.07772642 0.2430539 ]\n [-0.0512997 -0.09680305 0.08262851]]", "observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]]"}, "_episode_num": 0, "use_sde": true, "sde_sample_freq": -1, "_current_progress_remaining": 0.0, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 46875, "n_steps": 8, "gamma": 0.99, "gae_lambda": 0.9, "ent_coef": 0.0, "vf_coef": 0.4, "max_grad_norm": 0.5, "normalize_advantage": false, "system_info": {"OS": "Linux-5.10.147+-x86_64-with-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.9.16", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}
|
replay.mp4
CHANGED
Binary files a/replay.mp4 and b/replay.mp4 differ
|
|
results.json
CHANGED
@@ -1 +1 @@
|
|
1 |
-
{"mean_reward": -
|
|
|
1 |
+
{"mean_reward": -0.701272978959605, "std_reward": 0.20461875804822943, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-27T11:32:08.280437"}
|
vec_normalize.pkl
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3056
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fc6e184a5b899c858405da3ca4d12bbe7ef5358cc00a398ef1730243784da89f
|
3 |
size 3056
|