imar0 commited on
Commit
e887411
·
1 Parent(s): ff8a46a

Initial commit

Browse files
README.md CHANGED
@@ -16,7 +16,7 @@ model-index:
16
  type: PandaReachDense-v2
17
  metrics:
18
  - type: mean_reward
19
- value: -3.93 +/- 0.47
20
  name: mean_reward
21
  verified: false
22
  ---
 
16
  type: PandaReachDense-v2
17
  metrics:
18
  - type: mean_reward
19
+ value: -0.57 +/- 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:f0a85808a41d7a67b19ce30d851cc465eef257146e121fdbe9b4ac9d01784721
3
- size 108095
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:20f2319635ca9bb905801211916d0140caf7192c9349d148cd9117015256125e
3
+ size 108025
a2c-PandaReachDense-v2/data CHANGED
@@ -41,12 +41,12 @@
41
  "_np_random": null
42
  },
43
  "n_envs": 4,
44
- "num_timesteps": 1000000,
45
  "_total_timesteps": 1000000,
46
  "_num_timesteps_at_start": 0,
47
  "seed": null,
48
  "action_noise": null,
49
- "start_time": 1677857816484227405,
50
  "learning_rate": 0.0007,
51
  "tensorboard_log": null,
52
  "lr_schedule": {
@@ -55,35 +55,35 @@
55
  },
56
  "_last_obs": {
57
  ":type:": "<class 'collections.OrderedDict'>",
58
- ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAAdGEAP+WHPDyuLRM/dGEAP+WHPDyuLRM/dGEAP+WHPDyuLRM/dGEAP+WHPDyuLRM/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAhnGSP143jL/wRro9fFWQP5+Kaz69V8i/dGsBP0BKsT4yfVk/j3CxPg46Aj/12ae+lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAAB0YQA/5Yc8PK4tEz++zwU8s0jVOdpVALt0YQA/5Yc8PK4tEz++zwU8s0jVOdpVALt0YQA/5Yc8PK4tEz++zwU8s0jVOdpVALt0YQA/5Yc8PK4tEz++zwU8s0jVOdpVALuUaA5LBEsGhpRoEnSUUpR1Lg==",
59
- "achieved_goal": "[[0.501487 0.01150701 0.57491577]\n [0.501487 0.01150701 0.57491577]\n [0.501487 0.01150701 0.57491577]\n [0.501487 0.01150701 0.57491577]]",
60
- "desired_goal": "[[ 1.1440895 -1.0954397 0.09095562]\n [ 1.1276088 0.23002099 -1.5651776 ]\n [ 0.50554585 0.3462696 0.8495666 ]\n [ 0.34656188 0.50869834 -0.32783476]]",
61
- "observation": "[[ 5.0148702e-01 1.1507009e-02 5.7491577e-01 8.1672054e-03\n 4.0680691e-04 -1.9582422e-03]\n [ 5.0148702e-01 1.1507009e-02 5.7491577e-01 8.1672054e-03\n 4.0680691e-04 -1.9582422e-03]\n [ 5.0148702e-01 1.1507009e-02 5.7491577e-01 8.1672054e-03\n 4.0680691e-04 -1.9582422e-03]\n [ 5.0148702e-01 1.1507009e-02 5.7491577e-01 8.1672054e-03\n 4.0680691e-04 -1.9582422e-03]]"
62
  },
63
  "_last_episode_starts": {
64
  ":type:": "<class 'numpy.ndarray'>",
65
- ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="
66
  },
67
  "_last_original_obs": {
68
  ":type:": "<class 'collections.OrderedDict'>",
69
- ":serialized:": "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",
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": "[[ 0.01803152 -0.08320418 0.07100563]\n [-0.0072035 0.06425803 0.1808988 ]\n [-0.03449116 -0.05775587 0.06253962]\n [-0.03115273 0.01412455 0.0366724 ]]",
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": false,
76
  "sde_sample_freq": -1,
77
- "_current_progress_remaining": 0.0,
78
  "ep_info_buffer": {
79
  ":type:": "<class 'collections.deque'>",
80
- ":serialized:": "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"
81
  },
82
  "ep_success_buffer": {
83
  ":type:": "<class 'collections.deque'>",
84
  ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
85
  },
86
- "_n_updates": 50000,
87
  "n_steps": 5,
88
  "gamma": 0.99,
89
  "gae_lambda": 1.0,
 
41
  "_np_random": null
42
  },
43
  "n_envs": 4,
44
+ "num_timesteps": 268304,
45
  "_total_timesteps": 1000000,
46
  "_num_timesteps_at_start": 0,
47
  "seed": null,
48
  "action_noise": null,
49
+ "start_time": 1677861301607102664,
50
  "learning_rate": 0.0007,
51
  "tensorboard_log": null,
52
  "lr_schedule": {
 
55
  },
56
  "_last_obs": {
57
  ":type:": "<class 'collections.OrderedDict'>",
58
+ ":serialized:": "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",
59
+ "achieved_goal": "[[ 1.0361873 0.6503316 1.3227546 ]\n [ 1.4958959 -1.4160938 -1.5106913 ]\n [ 0.5856567 -0.63737196 0.091406 ]\n [-1.3305469 1.186775 -1.300028 ]]",
60
+ "desired_goal": "[[ 1.1380309 0.6990666 1.2770284 ]\n [ 1.650067 -1.6104903 -1.6569912 ]\n [ 0.7175276 -0.664104 0.08820544]\n [-1.3940661 1.2814302 -1.4312218 ]]",
61
+ "observation": "[[ 1.0361873 0.6503316 1.3227546 0.13640918 -0.4948624 -0.07010785]\n [ 1.4958959 -1.4160938 -1.5106913 0.01635742 0.24226236 -0.06749438]\n [ 0.5856567 -0.63737196 0.091406 -0.23471035 0.06074458 -0.2620492 ]\n [-1.3305469 1.186775 -1.300028 -0.14951012 0.16091254 -0.05027793]]"
62
  },
63
  "_last_episode_starts": {
64
  ":type:": "<class 'numpy.ndarray'>",
65
+ ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="
66
  },
67
  "_last_original_obs": {
68
  ":type:": "<class 'collections.OrderedDict'>",
69
+ ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAA6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAADpqYux3V8b2i1+k9CxzyPYZyYL0VlIw+MFcVPmu3FD6eTws+aXeCvYLCFT4a9+Y7lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAACUaA5LBEsGhpRoEnSUUpR1Lg==",
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": "[[-0.00465704 -0.11808226 0.11418082]\n [ 0.11821755 -0.05479672 0.27456728]\n [ 0.1458404 0.14523093 0.1360459 ]\n [-0.06370432 0.1462498 0.0070485 ]]",
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": false,
76
  "sde_sample_freq": -1,
77
+ "_current_progress_remaining": 0.7317,
78
  "ep_info_buffer": {
79
  ":type:": "<class 'collections.deque'>",
80
+ ":serialized:": "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"
81
  },
82
  "ep_success_buffer": {
83
  ":type:": "<class 'collections.deque'>",
84
  ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
85
  },
86
+ "_n_updates": 13415,
87
  "n_steps": 5,
88
  "gamma": 0.99,
89
  "gae_lambda": 1.0,
a2c-PandaReachDense-v2/policy.optimizer.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a88bdce35820f8a8c627f12fc54b1815e9799e2828d669a9031c7eb603f817cc
3
  size 44734
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fc361247c646f83b3d47040446d53110f509bc2bc6d85ee6ea47f43a5361eac9
3
  size 44734
a2c-PandaReachDense-v2/policy.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:709923bdf5c185eaa2c3c9b72ef7959655ba14f22f43e298fa3b61a9677ccddc
3
  size 46014
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2f7e5f2f9e07443ad7534538929d52f78865668b63ec99fd88b6b8071b8cd4c9
3
  size 46014
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 0x7f5872bac550>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f5872ba2c00>"}, "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:": "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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": 1000000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1677857816484227405, "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": "[[0.501487 0.01150701 0.57491577]\n [0.501487 0.01150701 0.57491577]\n [0.501487 0.01150701 0.57491577]\n [0.501487 0.01150701 0.57491577]]", "desired_goal": "[[ 1.1440895 -1.0954397 0.09095562]\n [ 1.1276088 0.23002099 -1.5651776 ]\n [ 0.50554585 0.3462696 0.8495666 ]\n [ 0.34656188 0.50869834 -0.32783476]]", "observation": "[[ 5.0148702e-01 1.1507009e-02 5.7491577e-01 8.1672054e-03\n 4.0680691e-04 -1.9582422e-03]\n [ 5.0148702e-01 1.1507009e-02 5.7491577e-01 8.1672054e-03\n 4.0680691e-04 -1.9582422e-03]\n [ 5.0148702e-01 1.1507009e-02 5.7491577e-01 8.1672054e-03\n 4.0680691e-04 -1.9582422e-03]\n [ 5.0148702e-01 1.1507009e-02 5.7491577e-01 8.1672054e-03\n 4.0680691e-04 -1.9582422e-03]]"}, "_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////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAA2baTPPRmqr1ma5E9XAvsu7eZgz2JPTk+mUYNvWyRbL3GFIA9AzT/vKdqZzzMNRY9lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAACUaA5LBEsGhpRoEnSUUpR1Lg==", "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": "[[ 0.01803152 -0.08320418 0.07100563]\n [-0.0072035 0.06425803 0.1808988 ]\n [-0.03449116 -0.05775587 0.06253962]\n [-0.03115273 0.01412455 0.0366724 ]]", "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-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.8.10", "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 0x7f5872bac550>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f5872ba2c00>"}, "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:": "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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": 268304, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1677861301607102664, "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": "[[ 1.0361873 0.6503316 1.3227546 ]\n [ 1.4958959 -1.4160938 -1.5106913 ]\n [ 0.5856567 -0.63737196 0.091406 ]\n [-1.3305469 1.186775 -1.300028 ]]", "desired_goal": "[[ 1.1380309 0.6990666 1.2770284 ]\n [ 1.650067 -1.6104903 -1.6569912 ]\n [ 0.7175276 -0.664104 0.08820544]\n [-1.3940661 1.2814302 -1.4312218 ]]", "observation": "[[ 1.0361873 0.6503316 1.3227546 0.13640918 -0.4948624 -0.07010785]\n [ 1.4958959 -1.4160938 -1.5106913 0.01635742 0.24226236 -0.06749438]\n [ 0.5856567 -0.63737196 0.091406 -0.23471035 0.06074458 -0.2620492 ]\n [-1.3305469 1.186775 -1.300028 -0.14951012 0.16091254 -0.05027793]]"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////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": "[[-0.00465704 -0.11808226 0.11418082]\n [ 0.11821755 -0.05479672 0.27456728]\n [ 0.1458404 0.14523093 0.1360459 ]\n [-0.06370432 0.1462498 0.0070485 ]]", "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": 0.7317, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 13415, "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-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.8.10", "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": -3.9320721852593126, "std_reward": 0.4708521273410982, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-03T16:31:27.787938"}
 
1
+ {"mean_reward": -0.5736148465424776, "std_reward": 0.1954864909707309, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-03T16:48:47.965778"}
vec_normalize.pkl CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:fb18020cd8ea6505a6de216848684fb22cf5102a9b99588bc7ec52ac864195fb
3
  size 3056
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ded8f325bb19150bca0909e34f41499038391841c166b3f25c103efbaeb906f
3
  size 3056