Initial commit

README.md

@@ -16,7 +16,7 @@ model-index:
       type: PandaReachDense-v2
     metrics:
     - type: mean_reward
-      value: -2.53 +/- 1.00
+      value: -1.69 +/- 0.51
       name: mean_reward
       verified: false
 ---

a2c-PandaReachDense-v2.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cbb6e78db1835b87e358d9fef8cefc41ae9cb2ae548afc5583035856223bd83e
-size 108117
+oid sha256:7494dec0c00967a0ea5b535a70adc6c4a8a10a00db223feecb05aa7b07d3ac58
+size 108127

a2c-PandaReachDense-v2/data

@@ -48,7 +48,7 @@
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1679933116395526673,
+    "start_time": 1679937337012838553,
     "learning_rate": 0.0007,
     "tensorboard_log": null,
     "lr_schedule": {
@@ -57,10 +57,10 @@
     },
     "_last_obs": {
         ":type:": "<class 'collections.OrderedDict'>",
-        ":serialized:": "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",
-        "achieved_goal": "[[ 0.0829979 -0.0838889  0.5793266]\n [ 0.0829979 -0.0838889  0.5793266]\n [ 0.0829979 -0.0838889  0.5793266]\n [ 0.0829979 -0.0838889  0.5793266]]",
-        "desired_goal": "[[ 1.2135243   1.4275937   0.39908418]\n [-0.00229393  1.2022172  -0.13456915]\n [ 1.3662158  -1.3978043  -1.3759004 ]\n [-0.8449971  -1.0818942  -0.81209403]]",
-        "observation": "[[ 0.0829979  -0.0838889   0.5793266   0.05356885 -0.00931532  0.04917976]\n [ 0.0829979  -0.0838889   0.5793266   0.05356885 -0.00931532  0.04917976]\n [ 0.0829979  -0.0838889   0.5793266   0.05356885 -0.00931532  0.04917976]\n [ 0.0829979  -0.0838889   0.5793266   0.05356885 -0.00931532  0.04917976]]"
+        ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAAjs2kPhfhNb374eI+js2kPhfhNb374eI+js2kPhfhNb374eI+js2kPhfhNb374eI+lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAA1Ci9vyi60L+M6RY/zmIvv0uUpb6tM3+/1wclv57k3D3+77O/OJQtveJ1ZL+k6Yw/lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAACOzaQ+F+E1vfvh4j4fwDA9pWbXulOqhTyOzaQ+F+E1vfvh4j4fwDA9pWbXulOqhTyOzaQ+F+E1vfvh4j4fwDA9pWbXulOqhTyOzaQ+F+E1vfvh4j4fwDA9pWbXulOqhTyUaA5LBEsGhpRoEnSUUpR1Lg==",
+        "achieved_goal": "[[ 0.32188076 -0.04440412  0.44313034]\n [ 0.32188076 -0.04440412  0.44313034]\n [ 0.32188076 -0.04440412  0.44313034]\n [ 0.32188076 -0.04440412  0.44313034]]",
+        "desired_goal": "[[-1.4778085  -1.630681    0.58950114]\n [-0.6851014  -0.323397   -0.99688226]\n [-0.6446509   0.10785793 -1.4057615 ]\n [-0.04237768 -0.89242375  1.1008801 ]]",
+        "observation": "[[ 0.32188076 -0.04440412  0.44313034  0.04315197 -0.00164338  0.01631657]\n [ 0.32188076 -0.04440412  0.44313034  0.04315197 -0.00164338  0.01631657]\n [ 0.32188076 -0.04440412  0.44313034  0.04315197 -0.00164338  0.01631657]\n [ 0.32188076 -0.04440412  0.44313034  0.04315197 -0.00164338  0.01631657]]"
     },
     "_last_episode_starts": {
         ":type:": "<class 'numpy.ndarray'>",
@@ -68,9 +68,9 @@
     },
     "_last_original_obs": {
         ":type:": "<class 'collections.OrderedDict'>",
-        ":serialized:": "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",
+        ":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": "[[ 0.14082913 -0.03278945  0.10002921]\n [-0.00143137  0.06382581  0.18334064]\n [ 0.00217778  0.05653292  0.13886878]\n [-0.08956041  0.0183907   0.10721481]]",
+        "desired_goal": "[[-0.04351284  0.08501367  0.17588176]\n [-0.06895728 -0.01026039  0.27421796]\n [-0.00785548  0.0681705   0.14281116]\n [ 0.06024164 -0.10175453  0.2777657 ]]",
         "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,
@@ -79,7 +79,7 @@
     "_current_progress_remaining": 0.0,
     "ep_info_buffer": {
         ":type:": "<class 'collections.deque'>",
-        ":serialized:": "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"
+        ":serialized:": "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"
     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
@@ -88,9 +88,9 @@
     "_n_updates": 31250,
     "n_steps": 8,
     "gamma": 0.99,
-    "gae_lambda": 0.9,
+    "gae_lambda": 1,
     "ent_coef": 0.0,
-    "vf_coef": 0.4,
+    "vf_coef": 0.5,
     "max_grad_norm": 0.5,
     "normalize_advantage": false
 }

a2c-PandaReachDense-v2/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3044a8f2947eaeb42599403eadb33d6ee44ed32a34bc026c5b5322fd8141787c
+oid sha256:cad5b8dd80c7e69e15c4d64e4357c2bce9c91cda9fcda333113753762c7c1dc6
 size 44734

a2c-PandaReachDense-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:05526f0b9bbd32dd21fee68484a1fc0fd8487b9627822aada506486591e5e216
+oid sha256:4fdafd535ab97c169776846c6d5e3b54e1a7d717d810be3558236ef94259fe36
 size 46014

config.json

@@ -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 0x7f510f7df700>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f510f7e2340>"}, "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": 1000000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1679933116395526673, "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": "[[ 0.0829979 -0.0838889  0.5793266]\n [ 0.0829979 -0.0838889  0.5793266]\n [ 0.0829979 -0.0838889  0.5793266]\n [ 0.0829979 -0.0838889  0.5793266]]", "desired_goal": "[[ 1.2135243   1.4275937   0.39908418]\n [-0.00229393  1.2022172  -0.13456915]\n [ 1.3662158  -1.3978043  -1.3759004 ]\n [-0.8449971  -1.0818942  -0.81209403]]", "observation": "[[ 0.0829979  -0.0838889   0.5793266   0.05356885 -0.00931532  0.04917976]\n [ 0.0829979  -0.0838889   0.5793266   0.05356885 -0.00931532  0.04917976]\n [ 0.0829979  -0.0838889   0.5793266   0.05356885 -0.00931532  0.04917976]\n [ 0.0829979  -0.0838889   0.5793266   0.05356885 -0.00931532  0.04917976]]"}, "_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": "[[ 0.14082913 -0.03278945  0.10002921]\n [-0.00143137  0.06382581  0.18334064]\n [ 0.00217778  0.05653292  0.13886878]\n [-0.08956041  0.0183907   0.10721481]]", "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": 31250, "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"}}
+{"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 0x7f510f7df700>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f510f7e2340>"}, "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:": "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": 1679937337012838553, "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": "[[ 0.32188076 -0.04440412  0.44313034]\n [ 0.32188076 -0.04440412  0.44313034]\n [ 0.32188076 -0.04440412  0.44313034]\n [ 0.32188076 -0.04440412  0.44313034]]", "desired_goal": "[[-1.4778085  -1.630681    0.58950114]\n [-0.6851014  -0.323397   -0.99688226]\n [-0.6446509   0.10785793 -1.4057615 ]\n [-0.04237768 -0.89242375  1.1008801 ]]", "observation": "[[ 0.32188076 -0.04440412  0.44313034  0.04315197 -0.00164338  0.01631657]\n [ 0.32188076 -0.04440412  0.44313034  0.04315197 -0.00164338  0.01631657]\n [ 0.32188076 -0.04440412  0.44313034  0.04315197 -0.00164338  0.01631657]\n [ 0.32188076 -0.04440412  0.44313034  0.04315197 -0.00164338  0.01631657]]"}, "_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": "[[-0.04351284  0.08501367  0.17588176]\n [-0.06895728 -0.01026039  0.27421796]\n [-0.00785548  0.0681705   0.14281116]\n [ 0.06024164 -0.10175453  0.2777657 ]]", "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": 31250, "n_steps": 8, "gamma": 0.99, "gae_lambda": 1, "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"}}

results.json

@@ -1 +1 @@
-{"mean_reward": -2.5327241721563043, "std_reward": 1.0000124788354443, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-27T17:05:26.015756"}
+{"mean_reward": -1.6905682556331159, "std_reward": 0.5140234253343277, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-27T18:27:28.076619"}

vec_normalize.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e68e4e353ad49e1ae6e3f705eda876e6d7c2bd8b914d2556d0bfa3ea2ee441fa
+oid sha256:0301ace57053badf4dff37a47155ff781bfc3868188309b14323c7e380268419
 size 3056