Initial commit

README.md

@@ -16,7 +16,7 @@ model-index:
       type: PandaReachDense-v2
     metrics:
     - type: mean_reward
-      value: -2.89 +/- 0.99
+      value: -0.89 +/- 0.46
       name: mean_reward
       verified: false
 ---

a2c-PandaReachDense-v2.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:39c1ac1c8e8ace57079f7002c11f514a72d90b22a19fe2da91fc232eaabcf229
-size 108016
+oid sha256:fb876f115d2b01404b911e8b6a2322fb222de813d379910b303164a89380ca12
+size 109525

a2c-PandaReachDense-v2/data

@@ -11,7 +11,9 @@
     "verbose": 1,
     "policy_kwargs": {
         ":type:": "<class 'dict'>",
-        ":serialized:": "gAWVgQAAAAAAAAB9lCiMD29wdGltaXplcl9jbGFzc5SME3RvcmNoLm9wdGltLnJtc3Byb3CUjAdSTVNwcm9wlJOUjBBvcHRpbWl6ZXJfa3dhcmdzlH2UKIwFYWxwaGGURz/vrhR64UeujANlcHOURz7k+LWI42jxjAx3ZWlnaHRfZGVjYXmUSwB1dS4=",
+        ":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,
@@ -46,19 +48,19 @@
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1680007322067473654,
-    "learning_rate": 0.0007,
+    "start_time": 1680011040154562885,
+    "learning_rate": 0.00096,
     "tensorboard_log": null,
     "lr_schedule": {
         ":type:": "<class 'function'>",
-        ":serialized:": "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"
+        ":serialized:": "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"
     },
     "_last_obs": {
         ":type:": "<class 'collections.OrderedDict'>",
-        ":serialized:": "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",
-        "achieved_goal": "[[0.39176184 0.05641924 0.5159485 ]\n [0.39176184 0.05641924 0.5159485 ]\n [0.39176184 0.05641924 0.5159485 ]\n [0.39176184 0.05641924 0.5159485 ]]",
-        "desired_goal": "[[ 1.4475253  -0.90356153 -0.3293049 ]\n [-1.5401709  -1.6061256  -0.20795885]\n [-1.1203974  -1.0932856   0.80914885]\n [ 1.1161855   0.3006756  -0.98740387]]",
-        "observation": "[[ 0.39176184  0.05641924  0.5159485  -0.00443972  0.00787603 -0.01132696]\n [ 0.39176184  0.05641924  0.5159485  -0.00443972  0.00787603 -0.01132696]\n [ 0.39176184  0.05641924  0.5159485  -0.00443972  0.00787603 -0.01132696]\n [ 0.39176184  0.05641924  0.5159485  -0.00443972  0.00787603 -0.01132696]]"
+        ":serialized:": "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",
+        "achieved_goal": "[[0.37557486 0.03129932 0.63366586]\n [0.37557486 0.03129932 0.63366586]\n [0.37557486 0.03129932 0.63366586]\n [0.37557486 0.03129932 0.63366586]]",
+        "desired_goal": "[[-0.74430096 -0.7624862   1.7100847 ]\n [-1.3261396   1.2640065  -1.0391009 ]\n [ 0.89242214 -0.5939661  -0.16802987]\n [-1.670597    0.2437586   1.2143558 ]]",
+        "observation": "[[ 0.37557486  0.03129932  0.63366586  0.06902819 -0.00371296  0.06829901]\n [ 0.37557486  0.03129932  0.63366586  0.06902819 -0.00371296  0.06829901]\n [ 0.37557486  0.03129932  0.63366586  0.06902819 -0.00371296  0.06829901]\n [ 0.37557486  0.03129932  0.63366586  0.06902819 -0.00371296  0.06829901]]"
     },
     "_last_episode_starts": {
         ":type:": "<class 'numpy.ndarray'>",
@@ -66,29 +68,29 @@
     },
     "_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": "[[ 0.10570793  0.10402347  0.2870137 ]\n [ 0.12070677  0.00560606  0.2819163 ]\n [ 0.04670709 -0.03840177  0.22371048]\n [-0.07624918 -0.13612469  0.16509645]]",
+        "desired_goal": "[[ 0.0286048   0.047918    0.07851009]\n [ 0.14961718 -0.01450708  0.29247326]\n [ 0.04377943 -0.00423102  0.20842724]\n [ 0.09714741 -0.09330256  0.13632992]]",
         "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,
+    "use_sde": true,
     "sde_sample_freq": -1,
     "_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'>",
         ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 50000,
-    "n_steps": 5,
+    "_n_updates": 31250,
+    "n_steps": 8,
     "gamma": 0.99,
-    "gae_lambda": 1.0,
+    "gae_lambda": 0.9,
     "ent_coef": 0.0,
-    "vf_coef": 0.5,
+    "vf_coef": 0.4,
     "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:ea0ac39e7f6e0d5421f71f0ca7c534208eb423fe8d67d81acb696223da021b97
-size 44734
+oid sha256:fda589e2f5c4874a848b1efba2c861762115436718b5e65859df90fc77fe46d8
+size 45438

a2c-PandaReachDense-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1405cd59d3b10fc646a49a273f60b1901c162e8869688b883e039dd6cfba925f
-size 46014
+oid sha256:0a776d132da06207bec279f7df7d3bc72f238dc61b3b08100eca2c0e37cf609e
+size 46718

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 0x7f06a3fcd700>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f06a3fcbec0>"}, "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:": "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": 1680007322067473654, "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": "[[0.39176184 0.05641924 0.5159485 ]\n [0.39176184 0.05641924 0.5159485 ]\n [0.39176184 0.05641924 0.5159485 ]\n [0.39176184 0.05641924 0.5159485 ]]", "desired_goal": "[[ 1.4475253  -0.90356153 -0.3293049 ]\n [-1.5401709  -1.6061256  -0.20795885]\n [-1.1203974  -1.0932856   0.80914885]\n [ 1.1161855   0.3006756  -0.98740387]]", "observation": "[[ 0.39176184  0.05641924  0.5159485  -0.00443972  0.00787603 -0.01132696]\n [ 0.39176184  0.05641924  0.5159485  -0.00443972  0.00787603 -0.01132696]\n [ 0.39176184  0.05641924  0.5159485  -0.00443972  0.00787603 -0.01132696]\n [ 0.39176184  0.05641924  0.5159485  -0.00443972  0.00787603 -0.01132696]]"}, "_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": "[[ 0.10570793  0.10402347  0.2870137 ]\n [ 0.12070677  0.00560606  0.2819163 ]\n [ 0.04670709 -0.03840177  0.22371048]\n [-0.07624918 -0.13612469  0.16509645]]", "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:": "gAWVHRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIpzy6ERZ1DcCUhpRSlIwBbJRLMowBdJRHQKiivCUornV1fZQoaAZoCWgPQwi9jjhkA2n0v5SGlFKUaBVLMmgWR0Coonnvc8DCdX2UKGgGaAloD0MIWwpI+x+gDcCUhpRSlGgVSzJoFkdAqKI9v/BFeHV9lChoBmgJaA9DCP6cgvxsJAvAlIaUUpRoFUsyaBZHQKiiANQTEit1fZQoaAZoCWgPQwj9a3nlejsBwJSGlFKUaBVLMmgWR0Coo9lz2exwdX2UKGgGaAloD0MI3bHYJhUtFcCUhpRSlGgVSzJoFkdAqKOXe1rqMXV9lChoBmgJaA9DCKUxWkdV0/y/lIaUUpRoFUsyaBZHQKijW6IWP911fZQoaAZoCWgPQwhFZFjFGwkXwJSGlFKUaBVLMmgWR0Coox+wkgOjdX2UKGgGaAloD0MItvP91HhpC8CUhpRSlGgVSzJoFkdAqKTTOVxCIHV9lChoBmgJaA9DCOfgmdAkYRfAlIaUUpRoFUsyaBZHQKikkPV/c351fZQoaAZoCWgPQwjfp6rQQIwBwJSGlFKUaBVLMmgWR0CopFTGo73gdX2UKGgGaAloD0MIGeJYF7eR/L+UhpRSlGgVSzJoFkdAqKQXvlU6xXV9lChoBmgJaA9DCJ2dDI6SVxjAlIaUUpRoFUsyaBZHQKil13+MqBp1fZQoaAZoCWgPQwgUdlH0wIcTwJSGlFKUaBVLMmgWR0CopZVYyO7ydX2UKGgGaAloD0MIbLJGPUQj+r+UhpRSlGgVSzJoFkdAqKVZEBsAN3V9lChoBmgJaA9DCP0tAfinFALAlIaUUpRoFUsyaBZHQKilG/TLGJh1fZQoaAZoCWgPQwgcJa/OMeD+v5SGlFKUaBVLMmgWR0Copua0IC2ddX2UKGgGaAloD0MIHHi13JkJDsCUhpRSlGgVSzJoFkdAqKakXm/34HV9lChoBmgJaA9DCOCCbFm+jgHAlIaUUpRoFUsyaBZHQKimaKMvRJF1fZQoaAZoCWgPQwgIAI49e67+v5SGlFKUaBVLMmgWR0Copiurp7kXdX2UKGgGaAloD0MI1GNbBpxl+7+UhpRSlGgVSzJoFkdAqKgC3NLUTnV9lChoBmgJaA9DCK+xS1Rv7Q/AlIaUUpRoFUsyaBZHQKinwL8aXKN1fZQoaAZoCWgPQwjrG5jcKPL+v5SGlFKUaBVLMmgWR0Cop4SC4BmxdX2UKGgGaAloD0MIgnUcP1T6CsCUhpRSlGgVSzJoFkdAqKdIpWmxdXV9lChoBmgJaA9DCApnt5bJMAfAlIaUUpRoFUsyaBZHQKio/gmZ3LV1fZQoaAZoCWgPQwitaklHObgHwJSGlFKUaBVLMmgWR0CoqLwGwA2idX2UKGgGaAloD0MIwJXs2AhE/7+UhpRSlGgVSzJoFkdAqKh/0dzXBnV9lChoBmgJaA9DCLw8nStKaQfAlIaUUpRoFUsyaBZHQKioQsCkoF51fZQoaAZoCWgPQwj3BfTCnasBwJSGlFKUaBVLMmgWR0Coqf+1Bt1qdX2UKGgGaAloD0MIda+T+rL0+7+UhpRSlGgVSzJoFkdAqKm9X3g1nHV9lChoBmgJaA9DCMbeiy/ao/+/lIaUUpRoFUsyaBZHQKipgQvpQk51fZQoaAZoCWgPQwiELAsm/lgVwJSGlFKUaBVLMmgWR0CoqUQfyPMjdX2UKGgGaAloD0MITPxR1Jl7/L+UhpRSlGgVSzJoFkdAqKsurfcesHV9lChoBmgJaA9DCGn/A6xVmwrAlIaUUpRoFUsyaBZHQKiq7MJQcgh1fZQoaAZoCWgPQwjqsMItH0nnv5SGlFKUaBVLMmgWR0CoqrCZOSGKdX2UKGgGaAloD0MITuyhfaxwEcCUhpRSlGgVSzJoFkdAqKpzkZJkG3V9lChoBmgJaA9DCPg404TtxwLAlIaUUpRoFUsyaBZHQKisZHuqm0p1fZQoaAZoCWgPQwh2qnzPSMT+v5SGlFKUaBVLMmgWR0CorCLSNOuadX2UKGgGaAloD0MITrSrkPIzBcCUhpRSlGgVSzJoFkdAqKvmoo/iYXV9lChoBmgJaA9DCEZ9kjtsov6/lIaUUpRoFUsyaBZHQKirqrOqvNh1fZQoaAZoCWgPQwhQNA9gkZ/5v5SGlFKUaBVLMmgWR0Corc3OGCZndX2UKGgGaAloD0MI3pBGBU62CMCUhpRSlGgVSzJoFkdAqK2MDEFW4nV9lChoBmgJaA9DCFnbFI+L6v6/lIaUUpRoFUsyaBZHQKitUKl54W11fZQoaAZoCWgPQwhmiGNd3GYMwJSGlFKUaBVLMmgWR0CorRUU47zTdX2UKGgGaAloD0MI+bziqUfaAMCUhpRSlGgVSzJoFkdAqK9XdZaFEnV9lChoBmgJaA9DCBCugEI9fQ7AlIaUUpRoFUsyaBZHQKivFaakRBh1fZQoaAZoCWgPQwgjowOSsC8HwJSGlFKUaBVLMmgWR0CortnkDIRzdX2UKGgGaAloD0MIRaFl3T82AsCUhpRSlGgVSzJoFkdAqK6dmYjSonV9lChoBmgJaA9DCAD9vn/zIv+/lIaUUpRoFUsyaBZHQKiw+CEHt4R1fZQoaAZoCWgPQwi0Vx8PfRcJwJSGlFKUaBVLMmgWR0CosLbWuoxYdX2UKGgGaAloD0MIqHNFKSFY/b+UhpRSlGgVSzJoFkdAqLB7tb9qDnV9lChoBmgJaA9DCB+fkJ230QbAlIaUUpRoFUsyaBZHQKiwP6C17Y11fZQoaAZoCWgPQwgKZHYWvVP+v5SGlFKUaBVLMmgWR0Cost28qWkadX2UKGgGaAloD0MIOiLfpdSlCMCUhpRSlGgVSzJoFkdAqLKchNdqtnV9lChoBmgJaA9DCLeyRGeZZRPAlIaUUpRoFUsyaBZHQKiyYYv38Gd1fZQoaAZoCWgPQwhdiUD1DwIGwJSGlFKUaBVLMmgWR0CosiXaakRBdX2UKGgGaAloD0MIdnCwNzGk+L+UhpRSlGgVSzJoFkdAqLSlJ17pmnV9lChoBmgJaA9DCKhWX10VyAXAlIaUUpRoFUsyaBZHQKi0Y7Bfrrx1fZQoaAZoCWgPQwjGGcOcoH0TwJSGlFKUaBVLMmgWR0CotChtcfNidX2UKGgGaAloD0MIpg2HpYF/C8CUhpRSlGgVSzJoFkdAqLPsasIVunV9lChoBmgJaA9DCOqxLQPO0gnAlIaUUpRoFUsyaBZHQKi2Wjmjj711fZQoaAZoCWgPQwg7qwX2mKgHwJSGlFKUaBVLMmgWR0CothiQLeANdX2UKGgGaAloD0MIxr5k48GWAMCUhpRSlGgVSzJoFkdAqLXdDBuXNXV9lChoBmgJaA9DCD2CGylbhAPAlIaUUpRoFUsyaBZHQKi1oMAFPi11fZQoaAZoCWgPQwgqxY7Gob73v5SGlFKUaBVLMmgWR0Cot+/BnBcidX2UKGgGaAloD0MIADyiQnXzFMCUhpRSlGgVSzJoFkdAqLetiMHbAXV9lChoBmgJaA9DCJ1oVyHlRwHAlIaUUpRoFUsyaBZHQKi3cXbdrO91fZQoaAZoCWgPQwhdwqG3eOgQwJSGlFKUaBVLMmgWR0CotzS/0ulHdX2UKGgGaAloD0MIhllo5zR7F8CUhpRSlGgVSzJoFkdAqLj1JjDsMXV9lChoBmgJaA9DCH9rJ0pC4gDAlIaUUpRoFUsyaBZHQKi4suez2OB1fZQoaAZoCWgPQwj/P06YMLoTwJSGlFKUaBVLMmgWR0CouHbedkJ8dX2UKGgGaAloD0MIh78ma9TjE8CUhpRSlGgVSzJoFkdAqLg555Z8r3V9lChoBmgJaA9DCOQuwhTlcgHAlIaUUpRoFUsyaBZHQKi56ZiNKiB1fZQoaAZoCWgPQwhjuaXVkPgIwJSGlFKUaBVLMmgWR0CouadmYjSodX2UKGgGaAloD0MIUKp9Oh6TEsCUhpRSlGgVSzJoFkdAqLlrS5RTCXV9lChoBmgJaA9DCBNIiV3b2/2/lIaUUpRoFUsyaBZHQKi5LlnRLK51fZQoaAZoCWgPQwhcOBCSBYz7v5SGlFKUaBVLMmgWR0CouuKDsdDIdX2UKGgGaAloD0MIhq5EoPpnBcCUhpRSlGgVSzJoFkdAqLqgQlKK53V9lChoBmgJaA9DCFEWvr7WZQbAlIaUUpRoFUsyaBZHQKi6ZEJBw/B1fZQoaAZoCWgPQwgYWp2cofj+v5SGlFKUaBVLMmgWR0CouicjzI3jdX2UKGgGaAloD0MIHomXp3NlBMCUhpRSlGgVSzJoFkdAqLv26shgV3V9lChoBmgJaA9DCAgDz72HS/q/lIaUUpRoFUsyaBZHQKi7tMsYl6Z1fZQoaAZoCWgPQwiqDONuEK3+v5SGlFKUaBVLMmgWR0Cou3jtoi9qdX2UKGgGaAloD0MILlkV4SYDFMCUhpRSlGgVSzJoFkdAqLs8CA+Y+nV9lChoBmgJaA9DCDLp76Xw4BHAlIaUUpRoFUsyaBZHQKi89coH9m91fZQoaAZoCWgPQwhstYe9UID2v5SGlFKUaBVLMmgWR0CovLNSQ5mzdX2UKGgGaAloD0MIZ5jaUgf5DsCUhpRSlGgVSzJoFkdAqLx3Upd8iXV9lChoBmgJaA9DCCuGqwMgbv+/lIaUUpRoFUsyaBZHQKi8Omois4l1fZQoaAZoCWgPQwgiADj27FkPwJSGlFKUaBVLMmgWR0Covelr/KhddX2UKGgGaAloD0MIWOVC5V97FcCUhpRSlGgVSzJoFkdAqL2nXNC7b3V9lChoBmgJaA9DCG4yqgzjrgTAlIaUUpRoFUsyaBZHQKi9a1LrX191fZQoaAZoCWgPQwifBaG8j2MAwJSGlFKUaBVLMmgWR0CovS58BuGcdX2UKGgGaAloD0MIqg8k7xyqCsCUhpRSlGgVSzJoFkdAqL7ue4Cp33V9lChoBmgJaA9DCHTudr00ZQHAlIaUUpRoFUsyaBZHQKi+rIKc/dJ1fZQoaAZoCWgPQwiD/GzkuokDwJSGlFKUaBVLMmgWR0CovnCgTRICdX2UKGgGaAloD0MI6pWyDHHMBsCUhpRSlGgVSzJoFkdAqL4zidat93V9lChoBmgJaA9DCLCtn/6zBgHAlIaUUpRoFUsyaBZHQKi/4lIEr5J1fZQoaAZoCWgPQwi5izBFufQLwJSGlFKUaBVLMmgWR0Cov6Ab6xgRdX2UKGgGaAloD0MIEtxI2SJpD8CUhpRSlGgVSzJoFkdAqL9j3oLXtnV9lChoBmgJaA9DCMvydRn+0/6/lIaUUpRoFUsyaBZHQKi/JthNM491ZS4="}, "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": "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 0x7f06a3fcd700>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f06a3fcbec0>"}, "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": 1680011040154562885, "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": "[[0.37557486 0.03129932 0.63366586]\n [0.37557486 0.03129932 0.63366586]\n [0.37557486 0.03129932 0.63366586]\n [0.37557486 0.03129932 0.63366586]]", "desired_goal": "[[-0.74430096 -0.7624862   1.7100847 ]\n [-1.3261396   1.2640065  -1.0391009 ]\n [ 0.89242214 -0.5939661  -0.16802987]\n [-1.670597    0.2437586   1.2143558 ]]", "observation": "[[ 0.37557486  0.03129932  0.63366586  0.06902819 -0.00371296  0.06829901]\n [ 0.37557486  0.03129932  0.63366586  0.06902819 -0.00371296  0.06829901]\n [ 0.37557486  0.03129932  0.63366586  0.06902819 -0.00371296  0.06829901]\n [ 0.37557486  0.03129932  0.63366586  0.06902819 -0.00371296  0.06829901]]"}, "_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": "[[ 0.0286048   0.047918    0.07851009]\n [ 0.14961718 -0.01450708  0.29247326]\n [ 0.04377943 -0.00423102  0.20842724]\n [ 0.09714741 -0.09330256  0.13632992]]", "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": 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"}}

results.json

@@ -1 +1 @@
-{"mean_reward": -2.8925120897591112, "std_reward": 0.9869121747407981, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-28T13:35:32.850859"}
+{"mean_reward": -0.8894470288418234, "std_reward": 0.45838848839071916, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-28T14:36:39.817350"}

vec_normalize.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:37782ab728f87db6baa6c195ddd9cd9f29a4bd0e7aa7bfba2a76323bf0ca6148
+oid sha256:cce01caef7e1efb89cf5705a69c31ac6e2cdbae8455853fa06653513a0d4f4a2
 size 3056