hannahh7 commited on
Commit
132061e
·
1 Parent(s): a49afb8

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: -2.36 +/- 1.29
20
  name: mean_reward
21
  verified: false
22
  ---
 
16
  type: PandaReachDense-v2
17
  metrics:
18
  - type: mean_reward
19
+ value: -3.85 +/- 0.73
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 sha256:0cd8a20d814f238f30bc3dfebdc955e161adc8fbfb62e88b1714a84d95253f7d
3
- size 108073
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d17f40ecfbdb65f9b24703f6884ec3d1df787241af996b29107cdda51bdeb60a
3
+ size 108145
a2c-PandaReachDense-v2/data CHANGED
@@ -24,7 +24,7 @@
24
  "_num_timesteps_at_start": 0,
25
  "seed": null,
26
  "action_noise": null,
27
- "start_time": 1687206092299718817,
28
  "learning_rate": 0.0007,
29
  "tensorboard_log": null,
30
  "lr_schedule": {
@@ -33,10 +33,10 @@
33
  },
34
  "_last_obs": {
35
  ":type:": "<class 'collections.OrderedDict'>",
36
- ":serialized:": "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",
37
- "achieved_goal": "[[ 0.2612348 -0.05783204 0.5319918 ]\n [ 0.2612348 -0.05783204 0.5319918 ]\n [ 0.2612348 -0.05783204 0.5319918 ]\n [ 0.2612348 -0.05783204 0.5319918 ]]",
38
- "desired_goal": "[[ 1.5820006 0.98939484 1.3328053 ]\n [-0.6516354 -0.92386156 -0.23246896]\n [-1.356271 -1.3967855 -0.47369412]\n [ 1.4982637 1.6259602 -1.2188494 ]]",
39
- "observation": "[[ 0.2612348 -0.05783204 0.5319918 0.00142088 -0.00734967 0.00979545]\n [ 0.2612348 -0.05783204 0.5319918 0.00142088 -0.00734967 0.00979545]\n [ 0.2612348 -0.05783204 0.5319918 0.00142088 -0.00734967 0.00979545]\n [ 0.2612348 -0.05783204 0.5319918 0.00142088 -0.00734967 0.00979545]]"
40
  },
41
  "_last_episode_starts": {
42
  ":type:": "<class 'numpy.ndarray'>",
@@ -44,9 +44,9 @@
44
  },
45
  "_last_original_obs": {
46
  ":type:": "<class 'collections.OrderedDict'>",
47
- ":serialized:": "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",
48
  "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]]",
49
- "desired_goal": "[[-0.08813848 -0.08336771 0.24878421]\n [-0.00998704 0.03405406 0.27255926]\n [-0.02582121 -0.00287968 0.23724595]\n [ 0.12459704 -0.05893062 0.23368451]]",
50
  "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]]"
51
  },
52
  "_episode_num": 0,
@@ -56,7 +56,7 @@
56
  "_stats_window_size": 100,
57
  "ep_info_buffer": {
58
  ":type:": "<class 'collections.deque'>",
59
- ":serialized:": "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"
60
  },
61
  "ep_success_buffer": {
62
  ":type:": "<class 'collections.deque'>",
 
24
  "_num_timesteps_at_start": 0,
25
  "seed": null,
26
  "action_noise": null,
27
+ "start_time": 1687208074916335907,
28
  "learning_rate": 0.0007,
29
  "tensorboard_log": null,
30
  "lr_schedule": {
 
33
  },
34
  "_last_obs": {
35
  ":type:": "<class 'collections.OrderedDict'>",
36
+ ":serialized:": "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",
37
+ "achieved_goal": "[[0.37748504 0.00894796 0.57225114]\n [0.37748504 0.00894796 0.57225114]\n [0.37748504 0.00894796 0.57225114]\n [0.37748504 0.00894796 0.57225114]]",
38
+ "desired_goal": "[[-0.8236988 -1.6509298 0.3965204 ]\n [ 0.5978196 -0.9199816 -0.82054245]\n [-0.60716283 1.5191869 -1.2091987 ]\n [ 0.2544367 -0.8595952 -0.02426887]]",
39
+ "observation": "[[ 3.7748504e-01 8.9479638e-03 5.7225114e-01 -8.7559945e-04\n -1.9831822e-04 8.4013864e-03]\n [ 3.7748504e-01 8.9479638e-03 5.7225114e-01 -8.7559945e-04\n -1.9831822e-04 8.4013864e-03]\n [ 3.7748504e-01 8.9479638e-03 5.7225114e-01 -8.7559945e-04\n -1.9831822e-04 8.4013864e-03]\n [ 3.7748504e-01 8.9479638e-03 5.7225114e-01 -8.7559945e-04\n -1.9831822e-04 8.4013864e-03]]"
40
  },
41
  "_last_episode_starts": {
42
  ":type:": "<class 'numpy.ndarray'>",
 
44
  },
45
  "_last_original_obs": {
46
  ":type:": "<class 'collections.OrderedDict'>",
47
+ ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAA6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAlzUXvXQbAL6w1dI9XPT4vW6lS73uuyY+mIXdvFHpR70wmLA9JL7BPQiHDj5rk4s+lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAACUaA5LBEsGhpRoEnSUUpR1Lg==",
48
  "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]]",
49
+ "desired_goal": "[[-0.03691634 -0.12510473 0.10294664]\n [-0.12155983 -0.04971831 0.16282627]\n [-0.02704124 -0.04880649 0.08622777]\n [ 0.09460095 0.13918698 0.27260908]]",
50
  "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]]"
51
  },
52
  "_episode_num": 0,
 
56
  "_stats_window_size": 100,
57
  "ep_info_buffer": {
58
  ":type:": "<class 'collections.deque'>",
59
+ ":serialized:": "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"
60
  },
61
  "ep_success_buffer": {
62
  ":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 sha256:9815eb57f7c9169f844f9b98f6756e2545586241db50420d982ecd7d2c27423b
3
  size 44734
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:837557379d89c70d626efbdfc763b13dbd007ff95742a34372c9440d5561c047
3
  size 44734
a2c-PandaReachDense-v2/policy.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0c2756f620fe9326cc7a1a5122b20c70cc6d9b68603982ed454b91a747c6be22
3
  size 46014
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b3676d7575537c6571236679f4911cd3d93b1ef6eaa21487f7cd4814a8b1973b
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 0x7f29a42bb880>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f29a42bd100>"}, "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}}, "num_timesteps": 500000, "_total_timesteps": 500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1687206092299718817, "learning_rate": 0.0007, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "gAWVxQIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTAvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuCQwIEAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjEwL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaB99lH2UKGgWaA2MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgXjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz9G8AaNuLrHhZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[ 0.2612348 -0.05783204 0.5319918 ]\n [ 0.2612348 -0.05783204 0.5319918 ]\n [ 0.2612348 -0.05783204 0.5319918 ]\n [ 0.2612348 -0.05783204 0.5319918 ]]", "desired_goal": "[[ 1.5820006 0.98939484 1.3328053 ]\n [-0.6516354 -0.92386156 -0.23246896]\n [-1.356271 -1.3967855 -0.47369412]\n [ 1.4982637 1.6259602 -1.2188494 ]]", "observation": "[[ 0.2612348 -0.05783204 0.5319918 0.00142088 -0.00734967 0.00979545]\n [ 0.2612348 -0.05783204 0.5319918 0.00142088 -0.00734967 0.00979545]\n [ 0.2612348 -0.05783204 0.5319918 0.00142088 -0.00734967 0.00979545]\n [ 0.2612348 -0.05783204 0.5319918 0.00142088 -0.00734967 0.00979545]]"}, "_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": "[[-0.08813848 -0.08336771 0.24878421]\n [-0.00998704 0.03405406 0.27255926]\n [-0.02582121 -0.00287968 0.23724595]\n [ 0.12459704 -0.05893062 0.23368451]]", "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, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 25000, "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, "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, "system_info": {"OS": "Linux-5.15.107+-x86_64-with-glibc2.31 # 1 SMP Sat Apr 29 09:15:28 UTC 2023", "Python": "3.10.12", "Stable-Baselines3": "1.8.0", "PyTorch": "2.0.1+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 0x7f29a42bb880>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f29a42bd100>"}, "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}}, "num_timesteps": 500000, "_total_timesteps": 500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1687208074916335907, "learning_rate": 0.0007, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "gAWVxQIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTAvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuCQwIEAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjEwL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaB99lH2UKGgWaA2MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgXjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz9G8AaNuLrHhZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[0.37748504 0.00894796 0.57225114]\n [0.37748504 0.00894796 0.57225114]\n [0.37748504 0.00894796 0.57225114]\n [0.37748504 0.00894796 0.57225114]]", "desired_goal": "[[-0.8236988 -1.6509298 0.3965204 ]\n [ 0.5978196 -0.9199816 -0.82054245]\n [-0.60716283 1.5191869 -1.2091987 ]\n [ 0.2544367 -0.8595952 -0.02426887]]", "observation": "[[ 3.7748504e-01 8.9479638e-03 5.7225114e-01 -8.7559945e-04\n -1.9831822e-04 8.4013864e-03]\n [ 3.7748504e-01 8.9479638e-03 5.7225114e-01 -8.7559945e-04\n -1.9831822e-04 8.4013864e-03]\n [ 3.7748504e-01 8.9479638e-03 5.7225114e-01 -8.7559945e-04\n -1.9831822e-04 8.4013864e-03]\n [ 3.7748504e-01 8.9479638e-03 5.7225114e-01 -8.7559945e-04\n -1.9831822e-04 8.4013864e-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": "[[ 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": "[[-0.03691634 -0.12510473 0.10294664]\n [-0.12155983 -0.04971831 0.16282627]\n [-0.02704124 -0.04880649 0.08622777]\n [ 0.09460095 0.13918698 0.27260908]]", "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, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 25000, "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, "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, "system_info": {"OS": "Linux-5.15.107+-x86_64-with-glibc2.31 # 1 SMP Sat Apr 29 09:15:28 UTC 2023", "Python": "3.10.12", "Stable-Baselines3": "1.8.0", "PyTorch": "2.0.1+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": -2.355623197881505, "std_reward": 1.2935161446296357, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-06-19T20:50:02.137875"}
 
1
+ {"mean_reward": -3.8461460902355613, "std_reward": 0.7345668342473218, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-06-19T21:22:03.898963"}
vec_normalize.pkl CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b8015b307eb1453618799ce8e2061de740736be66f0525a40f8c020dc60e3427
3
  size 2387
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:46a55efeb780a54386313b0ee7fc1db285a1beac4bac91738bf0b42066ba31c7
3
  size 2387