andrei-saceleanu commited on
Commit
f0e4fa6
·
1 Parent(s): 7fa0da0
README.md CHANGED
@@ -16,7 +16,7 @@ model-index:
16
  type: PandaReachDense-v2
17
  metrics:
18
  - type: mean_reward
19
- value: -3.84 +/- 1.30
20
  name: mean_reward
21
  verified: false
22
  ---
 
16
  type: PandaReachDense-v2
17
  metrics:
18
  - type: mean_reward
19
+ value: -1.04 +/- 0.34
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 sha256:0d723626cdbcc0327e31f472de551c5c95b2d5b3f031beae5f44705637e15ad8
3
- size 108024
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:39ec4bc762df3bf4544b92e47847b3d890dbf1cc0256f4b48eb795ceb9dbbccf
3
+ size 109496
a2c-PandaReachDense-v2/data CHANGED
@@ -11,7 +11,9 @@
11
  "verbose": 1,
12
  "policy_kwargs": {
13
  ":type:": "<class 'dict'>",
14
- ":serialized:": "gAWVgQAAAAAAAAB9lCiMD29wdGltaXplcl9jbGFzc5SME3RvcmNoLm9wdGltLnJtc3Byb3CUjAdSTVNwcm9wlJOUjBBvcHRpbWl6ZXJfa3dhcmdzlH2UKIwFYWxwaGGURz/vrhR64UeujANlcHOURz7k+LWI42jxjAx3ZWlnaHRfZGVjYXmUSwB1dS4=",
 
 
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": 2000000,
45
- "_total_timesteps": 2000000,
46
  "_num_timesteps_at_start": 0,
47
  "seed": null,
48
  "action_noise": null,
49
- "start_time": 1674717320051366011,
50
- "learning_rate": 0.0007,
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:": "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",
59
- "achieved_goal": "[[ 0.39406857 -0.00347208 0.5382697 ]\n [ 0.39406857 -0.00347208 0.5382697 ]\n [ 0.39406857 -0.00347208 0.5382697 ]\n [ 0.39406857 -0.00347208 0.5382697 ]]",
60
- "desired_goal": "[[ 1.0622149 -1.2085651 -0.02003473]\n [-0.32278052 -0.87377024 0.05093261]\n [-0.7653122 -0.7542817 -1.6870148 ]\n [ 0.7030843 -0.4530181 -1.4249271 ]]",
61
- "observation": "[[ 0.39406857 -0.00347208 0.5382697 0.0031529 -0.0025194 0.00231244]\n [ 0.39406857 -0.00347208 0.5382697 0.0031529 -0.0025194 0.00231244]\n [ 0.39406857 -0.00347208 0.5382697 0.0031529 -0.0025194 0.00231244]\n [ 0.39406857 -0.00347208 0.5382697 0.0031529 -0.0025194 0.00231244]]"
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:": "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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": "[[ 0.11867508 0.11551959 0.16617358]\n [-0.05260497 0.04491012 0.02873458]\n [ 0.10672292 -0.03381459 0.14598724]\n [-0.06322829 0.06235264 0.28135177]]",
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": 100000,
87
- "n_steps": 5,
88
  "gamma": 0.99,
89
- "gae_lambda": 1.0,
90
  "ent_coef": 0.0,
91
- "vf_coef": 0.5,
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": 1674723318401722280,
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": "[[0.2453028 0.00300309 0.5651783 ]\n [0.2453028 0.00300309 0.5651783 ]\n [0.2453028 0.00300309 0.5651783 ]\n [0.2453028 0.00300309 0.5651783 ]]",
62
+ "desired_goal": "[[ 0.9009005 1.4298149 0.5355709 ]\n [-0.3384777 -0.90674615 0.9914977 ]\n [-0.531913 -0.0901069 1.0902642 ]\n [ 0.91152966 0.32453346 1.3182898 ]]",
63
+ "observation": "[[0.2453028 0.00300309 0.5651783 0.04757169 0.00309532 0.06007918]\n [0.2453028 0.00300309 0.5651783 0.04757169 0.00309532 0.06007918]\n [0.2453028 0.00300309 0.5651783 0.04757169 0.00309532 0.06007918]\n [0.2453028 0.00300309 0.5651783 0.04757169 0.00309532 0.06007918]]"
64
  },
65
  "_last_episode_starts": {
66
  ":type:": "<class 'numpy.ndarray'>",
 
68
  },
69
  "_last_original_obs": {
70
  ":type:": "<class 'collections.OrderedDict'>",
71
+ ":serialized:": "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",
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": "[[-0.09718717 0.10778062 0.05498139]\n [ 0.04755886 0.11081752 0.28842086]\n [-0.14925298 -0.08121978 0.04093195]\n [ 0.1309249 -0.10271012 0.02159919]]",
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 sha256:078db70ee5e4cb0817b48212a10114d69fbe397a197c0aed7e1208ec651080eb
3
- size 44734
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:88a22749a8ec730dbc732a3e30dcc050d30362a4a6482021b825f0806afe9ff8
3
+ size 45438
a2c-PandaReachDense-v2/policy.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:95612228676a53f5e44bb94003a45372dee9ff29cbce654c9d2365e7403a140f
3
- size 46014
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24e75be91138c34aa217d578a983ed6193e26ab60881f751a58b6d600de25716
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 0x7f47cab3aee0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f47cab36de0>"}, "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": 2000000, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1674717320051366011, "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": "[[ 0.39406857 -0.00347208 0.5382697 ]\n [ 0.39406857 -0.00347208 0.5382697 ]\n [ 0.39406857 -0.00347208 0.5382697 ]\n [ 0.39406857 -0.00347208 0.5382697 ]]", "desired_goal": "[[ 1.0622149 -1.2085651 -0.02003473]\n [-0.32278052 -0.87377024 0.05093261]\n [-0.7653122 -0.7542817 -1.6870148 ]\n [ 0.7030843 -0.4530181 -1.4249271 ]]", "observation": "[[ 0.39406857 -0.00347208 0.5382697 0.0031529 -0.0025194 0.00231244]\n [ 0.39406857 -0.00347208 0.5382697 0.0031529 -0.0025194 0.00231244]\n [ 0.39406857 -0.00347208 0.5382697 0.0031529 -0.0025194 0.00231244]\n [ 0.39406857 -0.00347208 0.5382697 0.0031529 -0.0025194 0.00231244]]"}, "_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": "[[ 0.11867508 0.11551959 0.16617358]\n [-0.05260497 0.04491012 0.02873458]\n [ 0.10672292 -0.03381459 0.14598724]\n [-0.06322829 0.06235264 0.28135177]]", "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": 100000, "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": "1.21.6", "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 0x7f47cab3aee0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f47cab36de0>"}, "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": 1674723318401722280, "learning_rate": 0.00096, "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": "[[0.2453028 0.00300309 0.5651783 ]\n [0.2453028 0.00300309 0.5651783 ]\n [0.2453028 0.00300309 0.5651783 ]\n [0.2453028 0.00300309 0.5651783 ]]", "desired_goal": "[[ 0.9009005 1.4298149 0.5355709 ]\n [-0.3384777 -0.90674615 0.9914977 ]\n [-0.531913 -0.0901069 1.0902642 ]\n [ 0.91152966 0.32453346 1.3182898 ]]", "observation": "[[0.2453028 0.00300309 0.5651783 0.04757169 0.00309532 0.06007918]\n [0.2453028 0.00300309 0.5651783 0.04757169 0.00309532 0.06007918]\n [0.2453028 0.00300309 0.5651783 0.04757169 0.00309532 0.06007918]\n [0.2453028 0.00300309 0.5651783 0.04757169 0.00309532 0.06007918]]"}, "_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": "[[-0.09718717 0.10778062 0.05498139]\n [ 0.04755886 0.11081752 0.28842086]\n [-0.14925298 -0.08121978 0.04093195]\n [ 0.1309249 -0.10271012 0.02159919]]", "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-glibc2.29 # 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": "1.21.6", "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": -3.8389509710483254, "std_reward": 1.3001262413458174, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-01-26T08:48:36.045197"}
 
1
+ {"mean_reward": -1.041218609502539, "std_reward": 0.3371143940619958, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-01-26T10:05:40.347621"}
vec_normalize.pkl CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f92f7a09280b985b65b372bd6e9d07bd4b39be2fe6b7e91f5059dde627ee9f57
3
  size 3212
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:03b196a1a3384f403dd097716d55196c5a40d485bb63c5d648b9a1fb72a44159
3
  size 3212