msthil2 commited on
Commit
9322e50
1 Parent(s): 1abeba3

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: -3.25 +/- 1.02
20
  name: mean_reward
21
  verified: false
22
  ---
 
16
  type: PandaReachDense-v2
17
  metrics:
18
  - type: mean_reward
19
+ value: -2.74 +/- 0.70
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:ffd6c2a02ffc1973b33b9c2cdf54e9a138bd92bc3b7d77b7728985b22b3768e7
3
- size 108015
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a36e37eb91edd9810943345af7c074d8c976e677c61ecb72b4f6c198628872b4
3
+ size 107991
a2c-PandaReachDense-v2/data CHANGED
@@ -46,7 +46,7 @@
46
  "_num_timesteps_at_start": 0,
47
  "seed": null,
48
  "action_noise": null,
49
- "start_time": 1680662435074305780,
50
  "learning_rate": 0.0007,
51
  "tensorboard_log": null,
52
  "lr_schedule": {
@@ -55,10 +55,10 @@
55
  },
56
  "_last_obs": {
57
  ":type:": "<class 'collections.OrderedDict'>",
58
- ":serialized:": "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",
59
- "achieved_goal": "[[0.36020604 0.03459862 0.55827385]\n [0.36020604 0.03459862 0.55827385]\n [0.36020604 0.03459862 0.55827385]\n [0.36020604 0.03459862 0.55827385]]",
60
- "desired_goal": "[[ 0.14965218 -0.30861592 -1.1782868 ]\n [-1.5356951 1.0801269 -0.00566146]\n [-0.5832601 -1.1703445 0.4096768 ]\n [-0.9349244 1.5905586 1.6492251 ]]",
61
- "observation": "[[ 0.36020604 0.03459862 0.55827385 -0.00347322 0.00376288 -0.00152294]\n [ 0.36020604 0.03459862 0.55827385 -0.00347322 0.00376288 -0.00152294]\n [ 0.36020604 0.03459862 0.55827385 -0.00347322 0.00376288 -0.00152294]\n [ 0.36020604 0.03459862 0.55827385 -0.00347322 0.00376288 -0.00152294]]"
62
  },
63
  "_last_episode_starts": {
64
  ":type:": "<class 'numpy.ndarray'>",
@@ -66,9 +66,9 @@
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": "[[-0.07305212 0.0370755 0.2787102 ]\n [-0.0775812 -0.13105498 0.04160337]\n [-0.02447562 -0.12158809 0.06920948]\n [ 0.02566399 -0.12709543 0.25461838]]",
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,
@@ -77,7 +77,7 @@
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'>",
 
46
  "_num_timesteps_at_start": 0,
47
  "seed": null,
48
  "action_noise": null,
49
+ "start_time": 1680670056721908164,
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": "[[0.41756782 0.00604098 0.5739514 ]\n [0.41756782 0.00604098 0.5739514 ]\n [0.41756782 0.00604098 0.5739514 ]\n [0.41756782 0.00604098 0.5739514 ]]",
60
+ "desired_goal": "[[-0.41695067 -0.6993066 1.2531018 ]\n [-0.3677031 1.5288855 -0.7310912 ]\n [-1.2168264 -0.32882413 -0.64726204]\n [-0.89896107 -1.6769632 -1.1161679 ]]",
61
+ "observation": "[[0.41756782 0.00604098 0.5739514 0.01557763 0.0014608 0.01035582]\n [0.41756782 0.00604098 0.5739514 0.01557763 0.0014608 0.01035582]\n [0.41756782 0.00604098 0.5739514 0.01557763 0.0014608 0.01035582]\n [0.41756782 0.00604098 0.5739514 0.01557763 0.0014608 0.01035582]]"
62
  },
63
  "_last_episode_starts": {
64
  ":type:": "<class 'numpy.ndarray'>",
 
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": "[[-0.08470619 -0.07455696 0.04599729]\n [ 0.12350761 -0.03483144 0.15582728]\n [ 0.08933521 -0.04413236 0.17444038]\n [ 0.04212781 -0.09782965 0.13432717]]",
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,
 
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'>",
a2c-PandaReachDense-v2/policy.optimizer.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ef0482ca6fcbc2d1500dfc171d3ccd1ba25dfc7ba325fb108f3043866b577ffd
3
  size 44734
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b1cb2c55b6b6c6e46119e101a66c4f0a22593f50816b741857add2e2c845fbc7
3
  size 44734
a2c-PandaReachDense-v2/policy.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:2f56bfc60659cfe8420cdc2330fb748473de52e5ea5611d48cc16410a64057f4
3
  size 46014
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5684b244d0a01d9b648b2153f320c3952aa0531c874be6b86227a2d3b080fa70
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 0x7f93a8ee11f0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f93a8edfbc0>"}, "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": 1680662435074305780, "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": "[[0.36020604 0.03459862 0.55827385]\n [0.36020604 0.03459862 0.55827385]\n [0.36020604 0.03459862 0.55827385]\n [0.36020604 0.03459862 0.55827385]]", "desired_goal": "[[ 0.14965218 -0.30861592 -1.1782868 ]\n [-1.5356951 1.0801269 -0.00566146]\n [-0.5832601 -1.1703445 0.4096768 ]\n [-0.9349244 1.5905586 1.6492251 ]]", "observation": "[[ 0.36020604 0.03459862 0.55827385 -0.00347322 0.00376288 -0.00152294]\n [ 0.36020604 0.03459862 0.55827385 -0.00347322 0.00376288 -0.00152294]\n [ 0.36020604 0.03459862 0.55827385 -0.00347322 0.00376288 -0.00152294]\n [ 0.36020604 0.03459862 0.55827385 -0.00347322 0.00376288 -0.00152294]]"}, "_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": "[[-0.07305212 0.0370755 0.2787102 ]\n [-0.0775812 -0.13105498 0.04160337]\n [-0.02447562 -0.12158809 0.06920948]\n [ 0.02566399 -0.12709543 0.25461838]]", "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": "2.0.0+cu118", "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 0x7f93a8ee11f0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f93a8edfbc0>"}, "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": 1680670056721908164, "learning_rate": 0.0007, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAAc8vVPnLzxTt77hI/c8vVPnLzxTt77hI/c8vVPnLzxTt77hI/c8vVPnLzxTt77hI/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAj3rVvsIFM7+kZaA/lUO8voWywz/LKDu/+MCbv6NbqL73siW/UCJmv7um1r+X3o6/lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAABzy9U+cvPFO3vuEj9NOX88bXi/OnmrKTxzy9U+cvPFO3vuEj9NOX88bXi/OnmrKTxzy9U+cvPFO3vuEj9NOX88bXi/OnmrKTxzy9U+cvPFO3vuEj9NOX88bXi/OnmrKTyUaA5LBEsGhpRoEnSUUpR1Lg==", "achieved_goal": "[[0.41756782 0.00604098 0.5739514 ]\n [0.41756782 0.00604098 0.5739514 ]\n [0.41756782 0.00604098 0.5739514 ]\n [0.41756782 0.00604098 0.5739514 ]]", "desired_goal": "[[-0.41695067 -0.6993066 1.2531018 ]\n [-0.3677031 1.5288855 -0.7310912 ]\n [-1.2168264 -0.32882413 -0.64726204]\n [-0.89896107 -1.6769632 -1.1161679 ]]", "observation": "[[0.41756782 0.00604098 0.5739514 0.01557763 0.0014608 0.01035582]\n [0.41756782 0.00604098 0.5739514 0.01557763 0.0014608 0.01035582]\n [0.41756782 0.00604098 0.5739514 0.01557763 0.0014608 0.01035582]\n [0.41756782 0.00604098 0.5739514 0.01557763 0.0014608 0.01035582]]"}, "_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": "[[-0.08470619 -0.07455696 0.04599729]\n [ 0.12350761 -0.03483144 0.15582728]\n [ 0.08933521 -0.04413236 0.17444038]\n [ 0.04212781 -0.09782965 0.13432717]]", "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": "2.0.0+cu118", "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": -3.2502002134919166, "std_reward": 1.0178218649545887, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-04-05T04:25:26.824681"}
 
1
+ {"mean_reward": -2.743563085515052, "std_reward": 0.700424360740887, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-04-05T05:37:52.647700"}
vec_normalize.pkl CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a47ebec562a6f052bc02c19b9b4515c49959fdb3fae3b195001ab356bf67d7b5
3
  size 3056
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eb7ff0d5c304b67b093798b47ed88b5ffb6b62f32aa96add9a7c2cdacdb411ca
3
  size 3056