Initial commit

README.md

@@ -16,7 +16,7 @@ model-index:
       type: PandaReachDense-v2
     metrics:
     - type: mean_reward
-      value: -4.04 +/- 1.14
+      value: -6.03 +/- 1.80
       name: mean_reward
       verified: false
 ---

a2c-PandaReachDense-v2.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:41fa64bee5f9cf82d00c1b6990a8b51038addc00dbfd9afebea8652036a51f23
-size 108023
+oid sha256:2882a391cc6975dae5853a841b76d7c1791799e45b432061315c77b7830acd88
+size 108011

a2c-PandaReachDense-v2/data

@@ -41,12 +41,12 @@
         "_np_random": null
     },
     "n_envs": 4,
-    "num_timesteps": 1000000,
-    "_total_timesteps": 1000000,
+    "num_timesteps": 1100000,
+    "_total_timesteps": 1100000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1674232344145990007,
+    "start_time": 1674235195535730560,
     "learning_rate": 0.0007,
     "tensorboard_log": null,
     "lr_schedule": {
@@ -55,10 +55,10 @@
     },
     "_last_obs": {
         ":type:": "<class 'collections.OrderedDict'>",
-        ":serialized:": "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",
-        "achieved_goal": "[[ 0.45290926 -0.02171885  0.47250032]\n [ 0.45290926 -0.02171885  0.47250032]\n [ 0.45290926 -0.02171885  0.47250032]\n [ 0.45290926 -0.02171885  0.47250032]]",
-        "desired_goal": "[[ 1.4215945  -1.1718742  -0.94774044]\n [ 1.0680275   0.8587038  -1.6690328 ]\n [-1.4602165   0.2647621  -1.3620418 ]\n [-0.8869583  -0.62497485  1.403116  ]]",
-        "observation": "[[ 0.45290926 -0.02171885  0.47250032 -0.00257799  0.00076188 -0.01164259]\n [ 0.45290926 -0.02171885  0.47250032 -0.00257799  0.00076188 -0.01164259]\n [ 0.45290926 -0.02171885  0.47250032 -0.00257799  0.00076188 -0.01164259]\n [ 0.45290926 -0.02171885  0.47250032 -0.00257799  0.00076188 -0.01164259]]"
+        ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAAv+iVPsofPD1O8vM+v+iVPsofPD1O8vM+v+iVPsofPD1O8vM+v+iVPsofPD1O8vM+lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAoNcwPx1W2z7DW3w/dhbNvl82rT+xc64/vgkUP08doT+uDZM/sY4gP9gZoj/ej0O+lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAAC/6JU+yh88PU7y8z5mnIE8ZUCsupUKkTu/6JU+yh88PU7y8z5mnIE8ZUCsupUKkTu/6JU+yh88PU7y8z5mnIE8ZUCsupUKkTu/6JU+yh88PU7y8z5mnIE8ZUCsupUKkTuUaA5LBEsGhpRoEnSUUpR1Lg==",
+        "achieved_goal": "[[0.29279134 0.04592875 0.476458  ]\n [0.29279134 0.04592875 0.476458  ]\n [0.29279134 0.04592875 0.476458  ]\n [0.29279134 0.04592875 0.476458  ]]",
+        "desired_goal": "[[ 0.6907902   0.42839137  0.9857752 ]\n [-0.400562    1.3532218   1.3629056 ]\n [ 0.57827365  1.2587069   1.148855  ]\n [ 0.6271773   1.2664137  -0.1909785 ]]",
+        "observation": "[[ 0.29279134  0.04592875  0.476458    0.01582165 -0.00131417  0.00442631]\n [ 0.29279134  0.04592875  0.476458    0.01582165 -0.00131417  0.00442631]\n [ 0.29279134  0.04592875  0.476458    0.01582165 -0.00131417  0.00442631]\n [ 0.29279134  0.04592875  0.476458    0.01582165 -0.00131417  0.00442631]]"
     },
     "_last_episode_starts": {
         ":type:": "<class 'numpy.ndarray'>",
@@ -66,9 +66,9 @@
     },
     "_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": "[[ 0.07002588 -0.01915868  0.18218629]\n [-0.11628474 -0.11467696  0.02481999]\n [-0.1037659  -0.09232333  0.05494108]\n [-0.04210861  0.10763933  0.14892723]]",
+        "desired_goal": "[[-0.07366978 -0.13379568  0.01253019]\n [-0.04905957  0.02711938  0.13740498]\n [-0.05479581 -0.00669824  0.05669438]\n [-0.07695259  0.0983962   0.02550856]]",
         "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,
@@ -77,13 +77,13 @@
     "_current_progress_remaining": 0.0,
     "ep_info_buffer": {
         ":type:": "<class 'collections.deque'>",
-        ":serialized:": "gAWVHRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIWmJlNPI5DcCUhpRSlIwBbJRLMowBdJRHQKP4fPgvUSZ1fZQoaAZoCWgPQwj4/ZsXJ04WwJSGlFKUaBVLMmgWR0Cj+EGbsniOdX2UKGgGaAloD0MI0ZFc/kNKEcCUhpRSlGgVSzJoFkdAo/gBCfHxSnV9lChoBmgJaA9DCOZAD7VtuAbAlIaUUpRoFUsyaBZHQKP3sQ2/BWR1fZQoaAZoCWgPQwhS8BRypR4NwJSGlFKUaBVLMmgWR0Cj+W1+y7f6dX2UKGgGaAloD0MIcvxQacTMGMCUhpRSlGgVSzJoFkdAo/kx9uxbCHV9lChoBmgJaA9DCJj5Dn7ioAzAlIaUUpRoFUsyaBZHQKP48Wj45951fZQoaAZoCWgPQwiTAgtgykAMwJSGlFKUaBVLMmgWR0Cj+KFvIfbLdX2UKGgGaAloD0MIfv/mxYmPCMCUhpRSlGgVSzJoFkdAo/peXZ5AyHV9lChoBmgJaA9DCAhXQKGePgnAlIaUUpRoFUsyaBZHQKP6IudwvQF1fZQoaAZoCWgPQwjRJLGk3B0AwJSGlFKUaBVLMmgWR0Cj+eJk5IYndX2UKGgGaAloD0MIR8zs8xhFBcCUhpRSlGgVSzJoFkdAo/mSrxRVInV9lChoBmgJaA9DCKjEdYwr7hPAlIaUUpRoFUsyaBZHQKP7T4oJAt51fZQoaAZoCWgPQwiD29rC83IIwJSGlFKUaBVLMmgWR0Cj+xP60pmVdX2UKGgGaAloD0MIwHtHjQlREMCUhpRSlGgVSzJoFkdAo/rTeGfwqnV9lChoBmgJaA9DCFFpxMw+jw/AlIaUUpRoFUsyaBZHQKP6g6PsAvN1fZQoaAZoCWgPQwjDZ+vgYE8KwJSGlFKUaBVLMmgWR0Cj/DupS75EdX2UKGgGaAloD0MI0A8jhEf7BsCUhpRSlGgVSzJoFkdAo/wAIBzV+nV9lChoBmgJaA9DCLqGGRpPxBrAlIaUUpRoFUsyaBZHQKP7v8Aq/dt1fZQoaAZoCWgPQwjy6bEtAz4ZwJSGlFKUaBVLMmgWR0Cj+2/ek56udX2UKGgGaAloD0MIUtZvJqbLC8CUhpRSlGgVSzJoFkdAo/02XRgJC3V9lChoBmgJaA9DCA8Ni1HXWgTAlIaUUpRoFUsyaBZHQKP8+wK0D2d1fZQoaAZoCWgPQwjtndFWJdH/v5SGlFKUaBVLMmgWR0Cj/LqDsdDIdX2UKGgGaAloD0MIkE/IzttYB8CUhpRSlGgVSzJoFkdAo/xqkuYhMnV9lChoBmgJaA9DCLxASYEFcATAlIaUUpRoFUsyaBZHQKP+JLvkRz11fZQoaAZoCWgPQwiOBYVBmSYMwJSGlFKUaBVLMmgWR0Cj/ek+xGDudX2UKGgGaAloD0MI2CyXjc75GMCUhpRSlGgVSzJoFkdAo/2o/iYLLXV9lChoBmgJaA9DCEnW4egqfQzAlIaUUpRoFUsyaBZHQKP9WPuG9Ht1fZQoaAZoCWgPQwjUfQBSm1gIwJSGlFKUaBVLMmgWR0Cj/xXL3bmEdX2UKGgGaAloD0MITBb3H5muC8CUhpRSlGgVSzJoFkdAo/7aSRr8BXV9lChoBmgJaA9DCGoxeJj2LQXAlIaUUpRoFUsyaBZHQKP+mcHWz4V1fZQoaAZoCWgPQwhS0Vj7O3sMwJSGlFKUaBVLMmgWR0Cj/km7z06HdX2UKGgGaAloD0MIvYqMDkgiCMCUhpRSlGgVSzJoFkdApAAyqhlDnnV9lChoBmgJaA9DCFh1VgvssRDAlIaUUpRoFUsyaBZHQKP/90K7ZnN1fZQoaAZoCWgPQwhZTGw+rg0MwJSGlFKUaBVLMmgWR0Cj/7bVBlcydX2UKGgGaAloD0MIKlQ3F38bD8CUhpRSlGgVSzJoFkdAo/9nAh0QsnV9lChoBmgJaA9DCFJflnZqLhHAlIaUUpRoFUsyaBZHQKQBIuDBdld1fZQoaAZoCWgPQwjGbMmqCFcIwJSGlFKUaBVLMmgWR0CkAOduHerNdX2UKGgGaAloD0MIKgMHtHSFCsCUhpRSlGgVSzJoFkdApACm6bvw3HV9lChoBmgJaA9DCBBdUN8yJwLAlIaUUpRoFUsyaBZHQKQAVvxYq5N1fZQoaAZoCWgPQwjhYdo39/cLwJSGlFKUaBVLMmgWR0CkAg70Fr2ydX2UKGgGaAloD0MIoYZvYd2YBcCUhpRSlGgVSzJoFkdApAHTw2ETQHV9lChoBmgJaA9DCAu3fCQlzRDAlIaUUpRoFUsyaBZHQKQBk0XP7el1fZQoaAZoCWgPQwj52ch1U2oLwJSGlFKUaBVLMmgWR0CkAUNMfzSUdX2UKGgGaAloD0MITYV4JF4OEsCUhpRSlGgVSzJoFkdApALy1G9YfXV9lChoBmgJaA9DCMsTCDvFqgrAlIaUUpRoFUsyaBZHQKQCt4u9OAR1fZQoaAZoCWgPQwjD1QEQd1UEwJSGlFKUaBVLMmgWR0CkAndL6DXfdX2UKGgGaAloD0MIinQ/pyBfEsCUhpRSlGgVSzJoFkdApAInomoitHV9lChoBmgJaA9DCGg/UkSGlRLAlIaUUpRoFUsyaBZHQKQD2SPluFZ1fZQoaAZoCWgPQwgHsp5afaUXwJSGlFKUaBVLMmgWR0CkA52ZqmCRdX2UKGgGaAloD0MI1SMNbmu7EcCUhpRSlGgVSzJoFkdApANdA3T/hnV9lChoBmgJaA9DCJvmHafoCATAlIaUUpRoFUsyaBZHQKQDDQfIS151fZQoaAZoCWgPQwjrxOV4BYIKwJSGlFKUaBVLMmgWR0CkBMO2iL2pdX2UKGgGaAloD0MIQ1a3ek66AsCUhpRSlGgVSzJoFkdApASIMc6vJXV9lChoBmgJaA9DCLqHhO/9rQPAlIaUUpRoFUsyaBZHQKQER7Ikqtp1fZQoaAZoCWgPQwh47dKGwzIMwJSGlFKUaBVLMmgWR0CkA/fJV81GdX2UKGgGaAloD0MI0JuKVBi7C8CUhpRSlGgVSzJoFkdApAWtvsJID3V9lChoBmgJaA9DCCibcoV3CRDAlIaUUpRoFUsyaBZHQKQFclDWsil1fZQoaAZoCWgPQwhFgxQ8hbwGwJSGlFKUaBVLMmgWR0CkBTHN5dGBdX2UKGgGaAloD0MIJzPeVnpNC8CUhpRSlGgVSzJoFkdApAThu2qkunV9lChoBmgJaA9DCDjaccPvxgfAlIaUUpRoFUsyaBZHQKQGo2+fywx1fZQoaAZoCWgPQwiMLJljeecSwJSGlFKUaBVLMmgWR0CkBmgUL2HtdX2UKGgGaAloD0MIsOO/QBAgCMCUhpRSlGgVSzJoFkdApAYnkRzzVnV9lChoBmgJaA9DCGfyzTY3BgzAlIaUUpRoFUsyaBZHQKQF1+lTFVF1fZQoaAZoCWgPQwh9QKAzacMQwJSGlFKUaBVLMmgWR0CkB5XQtz0ZdX2UKGgGaAloD0MIjgOvljvzCcCUhpRSlGgVSzJoFkdApAdayMUAUHV9lChoBmgJaA9DCNBiKZKvZAbAlIaUUpRoFUsyaBZHQKQHGouPFNt1fZQoaAZoCWgPQwixTwDFyBIPwJSGlFKUaBVLMmgWR0CkBsqqfe1sdX2UKGgGaAloD0MIWONsOgJYCsCUhpRSlGgVSzJoFkdApAiCs2eg+XV9lChoBmgJaA9DCB+6oL5lLg3AlIaUUpRoFUsyaBZHQKQIRx6v7nB1fZQoaAZoCWgPQwjIYMWp1gIEwJSGlFKUaBVLMmgWR0CkCAadc0LudX2UKGgGaAloD0MIpgnbT8b4EcCUhpRSlGgVSzJoFkdApAe2yiVSoHV9lChoBmgJaA9DCI21v7M9ahDAlIaUUpRoFUsyaBZHQKQJaqOLiuN1fZQoaAZoCWgPQwhREhJpG98NwJSGlFKUaBVLMmgWR0CkCS8+zMRpdX2UKGgGaAloD0MIQKVKlL3lCMCUhpRSlGgVSzJoFkdApAjut6ol2XV9lChoBmgJaA9DCCwOZ341RxHAlIaUUpRoFUsyaBZHQKQInqxC6Yp1fZQoaAZoCWgPQwhR9MDHYFUTwJSGlFKUaBVLMmgWR0CkCluIZZSvdX2UKGgGaAloD0MIo8nFGFinA8CUhpRSlGgVSzJoFkdApAogZflZHXV9lChoBmgJaA9DCNY5BmSvFwfAlIaUUpRoFUsyaBZHQKQJ4Alv60p1fZQoaAZoCWgPQwi9HHbfMYwYwJSGlFKUaBVLMmgWR0CkCZAM+eOGdX2UKGgGaAloD0MIz6Chf4K7EsCUhpRSlGgVSzJoFkdApAtOf/WDpXV9lChoBmgJaA9DCFjJx+4CpRPAlIaUUpRoFUsyaBZHQKQLExUNrj51fZQoaAZoCWgPQwgLfhtivPYTwJSGlFKUaBVLMmgWR0CkCtKwQlKLdX2UKGgGaAloD0MIOIO/X8xWEMCUhpRSlGgVSzJoFkdApAqCv1UVBXV9lChoBmgJaA9DCDEm/b0UvgbAlIaUUpRoFUsyaBZHQKQMM0l7dBV1fZQoaAZoCWgPQwjD76ZbdhgQwJSGlFKUaBVLMmgWR0CkC/fTkQwsdX2UKGgGaAloD0MIPpP98zTgCMCUhpRSlGgVSzJoFkdApAu3V9Wp63V9lChoBmgJaA9DCKTH7236ExDAlIaUUpRoFUsyaBZHQKQLZ/HYHxB1fZQoaAZoCWgPQwhoz2VqElwJwJSGlFKUaBVLMmgWR0CkDR+2d/aydX2UKGgGaAloD0MIq3mOyHepBcCUhpRSlGgVSzJoFkdApAzkMgEEDHV9lChoBmgJaA9DCJmDoKNVnRLAlIaUUpRoFUsyaBZHQKQMpAXVLBd1fZQoaAZoCWgPQwgct5ifGxoIwJSGlFKUaBVLMmgWR0CkDFQK8cuKdX2UKGgGaAloD0MI0clS6/1GBcCUhpRSlGgVSzJoFkdApA4M6q8143V9lChoBmgJaA9DCBdGelG7fwbAlIaUUpRoFUsyaBZHQKQN0bMHKOl1fZQoaAZoCWgPQwgzU1p/S6AFwJSGlFKUaBVLMmgWR0CkDZE4vN/wdX2UKGgGaAloD0MIwF5hwf3AB8CUhpRSlGgVSzJoFkdApA1BYLb5/XV9lChoBmgJaA9DCMvbEU4LjhXAlIaUUpRoFUsyaBZHQKQPADBdld11fZQoaAZoCWgPQwjggQGEDyURwJSGlFKUaBVLMmgWR0CkDsU0m+j/dX2UKGgGaAloD0MI3Qw34PNDBsCUhpRSlGgVSzJoFkdApA6FLBbfQHV9lChoBmgJaA9DCKUtrvGZTAvAlIaUUpRoFUsyaBZHQKQONcqvvBt1ZS4="
+        ":serialized:": "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"
     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
         ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 50000,
+    "_n_updates": 55000,
     "n_steps": 5,
     "gamma": 0.99,
     "gae_lambda": 1.0,

a2c-PandaReachDense-v2/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8ae4ef0df55b500afa0680f592060393a9593580cf9898bbe92d3f82fac0357a
+oid sha256:6125e1b3e91f3c7023fafe351f49fe7e3f682550573938867f0c711d3f9d8eeb
 size 44734

a2c-PandaReachDense-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:034e03459f810285936000b01bc6370c2b70832387dd0920e593cb645d524084
+oid sha256:8303e4fc6c3bef5eadb94d657461ac30b5f0c4ec6f73fac0b57962befb447c32
 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 0x7f54bb538280>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f54bb52dfc0>"}, "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": 1674232344145990007, "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": "[[ 0.45290926 -0.02171885  0.47250032]\n [ 0.45290926 -0.02171885  0.47250032]\n [ 0.45290926 -0.02171885  0.47250032]\n [ 0.45290926 -0.02171885  0.47250032]]", "desired_goal": "[[ 1.4215945  -1.1718742  -0.94774044]\n [ 1.0680275   0.8587038  -1.6690328 ]\n [-1.4602165   0.2647621  -1.3620418 ]\n [-0.8869583  -0.62497485  1.403116  ]]", "observation": "[[ 0.45290926 -0.02171885  0.47250032 -0.00257799  0.00076188 -0.01164259]\n [ 0.45290926 -0.02171885  0.47250032 -0.00257799  0.00076188 -0.01164259]\n [ 0.45290926 -0.02171885  0.47250032 -0.00257799  0.00076188 -0.01164259]\n [ 0.45290926 -0.02171885  0.47250032 -0.00257799  0.00076188 -0.01164259]]"}, "_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": "[[ 0.07002588 -0.01915868  0.18218629]\n [-0.11628474 -0.11467696  0.02481999]\n [-0.1037659  -0.09232333  0.05494108]\n [-0.04210861  0.10763933  0.14892723]]", "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-glibc2.29 # 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"}}
+{"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 0x7f54bb538280>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f54bb52dfc0>"}, "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": 1100000, "_total_timesteps": 1100000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1674235195535730560, "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": "[[0.29279134 0.04592875 0.476458  ]\n [0.29279134 0.04592875 0.476458  ]\n [0.29279134 0.04592875 0.476458  ]\n [0.29279134 0.04592875 0.476458  ]]", "desired_goal": "[[ 0.6907902   0.42839137  0.9857752 ]\n [-0.400562    1.3532218   1.3629056 ]\n [ 0.57827365  1.2587069   1.148855  ]\n [ 0.6271773   1.2664137  -0.1909785 ]]", "observation": "[[ 0.29279134  0.04592875  0.476458    0.01582165 -0.00131417  0.00442631]\n [ 0.29279134  0.04592875  0.476458    0.01582165 -0.00131417  0.00442631]\n [ 0.29279134  0.04592875  0.476458    0.01582165 -0.00131417  0.00442631]\n [ 0.29279134  0.04592875  0.476458    0.01582165 -0.00131417  0.00442631]]"}, "_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": "[[-0.07366978 -0.13379568  0.01253019]\n [-0.04905957  0.02711938  0.13740498]\n [-0.05479581 -0.00669824  0.05669438]\n [-0.07695259  0.0983962   0.02550856]]", "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": 55000, "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"}}

results.json

@@ -1 +1 @@
-{"mean_reward": -4.0386673009954395, "std_reward": 1.138065307469786, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-01-20T17:15:14.931221"}
+{"mean_reward": -6.026396167092026, "std_reward": 1.8014267672023736, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-01-20T18:08:16.030074"}

vec_normalize.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c72ab95d7e4bf15a5f3adbec603c36138c976ad19f36ff8e7c45a1fb5d277047
+oid sha256:2d723e7c4de10888aa6f98cbb318cabeac3356eb20a1d7b80f21d99834090fd9
 size 3056