Initial commit

README.md

@@ -16,7 +16,7 @@ model-index:
       type: PandaReachDense-v2
     metrics:
     - type: mean_reward
-      value: -10.80 +/- 4.97
+      value: -1.72 +/- 0.29
       name: mean_reward
       verified: false
 ---

a2c-PandaReachDense-v2.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:48d375f1fd69992521682afefc72b0bf8e40f0072e8c0168466e095672c109bb
-size 108013
+oid sha256:f820b5c95e2522810286fab32e82f2e1ff6c2dd8eca27060322a91d85755dbf5
+size 108017

a2c-PandaReachDense-v2/data

@@ -41,24 +41,24 @@
         "_np_random": null
     },
     "n_envs": 4,
-    "num_timesteps": 3000000,
-    "_total_timesteps": 3000000,
+    "num_timesteps": 50000,
+    "_total_timesteps": 50000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1674496800109913425,
-    "learning_rate": 0.00096,
+    "start_time": 1674504465207733363,
+    "learning_rate": 0.002,
     "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:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAA+VtJPzSpYD2xuHc/+VtJPzSpYD2xuHc/+VtJPzSpYD2xuHc/+VtJPzSpYD2xuHc/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAcZSYPuS6Sr9djNq/5fbBv786E76Js4O/umwlP6gi075EkNi/hxqFv7MGhr/XQce/lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAAD5W0k/NKlgPbG4dz9XJTY9LyJuu6pzcj35W0k/NKlgPbG4dz9XJTY9LyJuu6pzcj35W0k/NKlgPbG4dz9XJTY9LyJuu6pzcj35W0k/NKlgPbG4dz9XJTY9LyJuu6pzcj2UaA5LBEsGhpRoEnSUUpR1Lg==",
-        "achieved_goal": "[[0.78655964 0.05484886 0.9676619 ]\n [0.78655964 0.05484886 0.9676619 ]\n [0.78655964 0.05484886 0.9676619 ]\n [0.78655964 0.05484886 0.9676619 ]]",
-        "desired_goal": "[[ 0.29800752 -0.7919142  -1.7074085 ]\n [-1.5153471  -0.14377879 -1.0289165 ]\n [ 0.6461903  -0.41237378 -1.6919026 ]\n [-1.039872   -1.0470794  -1.5566968 ]]",
-        "observation": "[[ 0.78655964  0.05484886  0.9676619   0.0444692  -0.00363363  0.05919234]\n [ 0.78655964  0.05484886  0.9676619   0.0444692  -0.00363363  0.05919234]\n [ 0.78655964  0.05484886  0.9676619   0.0444692  -0.00363363  0.05919234]\n [ 0.78655964  0.05484886  0.9676619   0.0444692  -0.00363363  0.05919234]]"
+        ":serialized:": "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",
+        "achieved_goal": "[[ 0.2590563  -0.09255637  0.56468934]\n [ 0.2590563  -0.09255637  0.56468934]\n [ 0.2590563  -0.09255637  0.56468934]\n [ 0.2590563  -0.09255637  0.56468934]]",
+        "desired_goal": "[[-0.9924935   0.62383175 -0.4642448 ]\n [ 0.4501245  -1.4789768  -1.0603954 ]\n [ 0.7886784  -1.3009424   0.313861  ]\n [ 1.2659951  -0.06723187 -0.12533379]]",
+        "observation": "[[ 0.2590563  -0.09255637  0.56468934  0.00937424 -0.00381232  0.02061477]\n [ 0.2590563  -0.09255637  0.56468934  0.00937424 -0.00381232  0.02061477]\n [ 0.2590563  -0.09255637  0.56468934  0.00937424 -0.00381232  0.02061477]\n [ 0.2590563  -0.09255637  0.56468934  0.00937424 -0.00381232  0.02061477]]"
     },
     "_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": "[[-0.00826381  0.0857859   0.10300739]\n [-0.07996922  0.02381151  0.21541128]\n [ 0.06685439 -0.06140421  0.08623967]\n [-0.0340631   0.0890421   0.16501057]]",
+        "desired_goal": "[[ 0.13697916  0.02975653  0.07135629]\n [ 0.11884101 -0.08664808  0.2180954 ]\n [ 0.02970012 -0.08007087  0.23106791]\n [-0.02603067  0.00543763  0.17386782]]",
         "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:": "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"
+        ":serialized:": "gAWVHRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIZYnOMosQAsCUhpRSlIwBbJRLMowBdJRHQFqIUaya/h51fZQoaAZoCWgPQwgbEvdY+nADwJSGlFKUaBVLMmgWR0BagO8kD6nBdX2UKGgGaAloD0MIK2wGuCC7AsCUhpRSlGgVSzJoFkdAWncIBzV+Z3V9lChoBmgJaA9DCGLcDaK1wgLAlIaUUpRoFUsyaBZHQFpvHt4RmK91fZQoaAZoCWgPQwjLv5ZXrpcFwJSGlFKUaBVLMmgWR0BapaS9ugpSdX2UKGgGaAloD0MI4ZhlTwLbAMCUhpRSlGgVSzJoFkdAWp5XuE25x3V9lChoBmgJaA9DCLdELjiDP/y/lIaUUpRoFUsyaBZHQFqUe18b70p1fZQoaAZoCWgPQwjMCdrk8Mn7v5SGlFKUaBVLMmgWR0BajJdfLLZBdX2UKGgGaAloD0MIAg02dR6V/b+UhpRSlGgVSzJoFkdAWsGMsH0K7nV9lChoBmgJaA9DCOP8TShEoAjAlIaUUpRoFUsyaBZHQFq6Mh5gPVd1fZQoaAZoCWgPQwgZ6NoX0KsFwJSGlFKUaBVLMmgWR0BasD+FUQ05dX2UKGgGaAloD0MIG5yIfm29AsCUhpRSlGgVSzJoFkdAWqhRoAXEZXV9lChoBmgJaA9DCPuWOV0WU/+/lIaUUpRoFUsyaBZHQFreaYeDFqB1fZQoaAZoCWgPQwiXAPxTqkQBwJSGlFKUaBVLMmgWR0Ba1wyIpH7QdX2UKGgGaAloD0MIoOBiRQ2mAcCUhpRSlGgVSzJoFkdAWs0WZZ0Sy3V9lChoBmgJaA9DCGr4FtaNdwPAlIaUUpRoFUsyaBZHQFrFJ/5Lytp1fZQoaAZoCWgPQwjmWUkrvqEBwJSGlFKUaBVLMmgWR0Ba+eQ+2VmjdX2UKGgGaAloD0MIrFj8prCS/7+UhpRSlGgVSzJoFkdAWvJ8YyfthXV9lChoBmgJaA9DCCE9RQ4Rt/u/lIaUUpRoFUsyaBZHQFrohx5s0pF1fZQoaAZoCWgPQwg/jubIyg8GwJSGlFKUaBVLMmgWR0Ba4Jd8iOebdX2UKGgGaAloD0MIgzC3e7kvBMCUhpRSlGgVSzJoFkdAWxXkGRmseXV9lChoBmgJaA9DCBpuwOeH0QHAlIaUUpRoFUsyaBZHQFsOjSXt0FN1fZQoaAZoCWgPQwisx32rdWL7v5SGlFKUaBVLMmgWR0BbBK2BreqJdX2UKGgGaAloD0MITMecZ+yLAsCUhpRSlGgVSzJoFkdAWvzY9Pk7wXV9lChoBmgJaA9DCCYd5WA2Afu/lIaUUpRoFUsyaBZHQFsxoQ4CIUJ1fZQoaAZoCWgPQwjaOjjYm9j4v5SGlFKUaBVLMmgWR0BbKjpkf9xZdX2UKGgGaAloD0MI9S7ej9sv/L+UhpRSlGgVSzJoFkdAWyBIjGDL83V9lChoBmgJaA9DCPSmIhXGVgHAlIaUUpRoFUsyaBZHQFsYXFcY64l1fZQoaAZoCWgPQwi78e7IWA0BwJSGlFKUaBVLMmgWR0BbTe3UhFEzdX2UKGgGaAloD0MIU3sRbccU+7+UhpRSlGgVSzJoFkdAW0aJ2t+1B3V9lChoBmgJaA9DCDY656c4jv2/lIaUUpRoFUsyaBZHQFs8lijL0SR1fZQoaAZoCWgPQwg+ey5TkyD8v5SGlFKUaBVLMmgWR0BbNKvV3EAHdX2UKGgGaAloD0MIdhppqbzd+7+UhpRSlGgVSzJoFkdAW2nbO/tY0XV9lChoBmgJaA9DCP7zNGCQFADAlIaUUpRoFUsyaBZHQFtic8Tzund1fZQoaAZoCWgPQwhsBU1LrKwCwJSGlFKUaBVLMmgWR0BbWH2ZiNKidX2UKGgGaAloD0MIZRcMrrnj+b+UhpRSlGgVSzJoFkdAW1CPJaJQ+HV9lChoBmgJaA9DCBixTwDFiAHAlIaUUpRoFUsyaBZHQFuFWdVea8Z1fZQoaAZoCWgPQwjOGVHaG9wBwJSGlFKUaBVLMmgWR0BbffLLZBcBdX2UKGgGaAloD0MIfa1LjdAP+7+UhpRSlGgVSzJoFkdAW3QIE8q4IHV9lChoBmgJaA9DCA+5GW7A5/6/lIaUUpRoFUsyaBZHQFtsG8mKIi11fZQoaAZoCWgPQwjLMO4G0Vr+v5SGlFKUaBVLMmgWR0BboZRGc4HYdX2UKGgGaAloD0MI0jk/xXEg/7+UhpRSlGgVSzJoFkdAW5ouYhMaj3V9lChoBmgJaA9DCLK61XPS+/2/lIaUUpRoFUsyaBZHQFuQOPeYUnJ1fZQoaAZoCWgPQwj03a0s0Vn4v5SGlFKUaBVLMmgWR0BbiEvwmVqvdX2UKGgGaAloD0MI/WZiuhArAMCUhpRSlGgVSzJoFkdAW74YJmdy1nV9lChoBmgJaA9DCEiJXdvb7f2/lIaUUpRoFUsyaBZHQFu2r8iwB5p1fZQoaAZoCWgPQwiQLjatFMIHwJSGlFKUaBVLMmgWR0BbrLqlgtvodX2UKGgGaAloD0MIgnAFFOqpBcCUhpRSlGgVSzJoFkdAW6TN3W4EwHV9lChoBmgJaA9DCP0ubM1W3vm/lIaUUpRoFUsyaBZHQFvZbVz6rNp1fZQoaAZoCWgPQwhpGhTNAxj6v5SGlFKUaBVLMmgWR0Bb0huO0b97dX2UKGgGaAloD0MI2ERmLnD5/L+UhpRSlGgVSzJoFkdAW8g+xGDtgXV9lChoBmgJaA9DCPJ9calKW/2/lIaUUpRoFUsyaBZHQFvAaTOgQH11fZQoaAZoCWgPQwiNYrml1RD+v5SGlFKUaBVLMmgWR0Bb9Y7/4qPPdX2UKGgGaAloD0MIJJpAEYsY/b+UhpRSlGgVSzJoFkdAW+4pI+W4VnV9lChoBmgJaA9DCOZ3msx4ewDAlIaUUpRoFUsyaBZHQFvkM2FWXC11fZQoaAZoCWgPQwhLBKp/EKkAwJSGlFKUaBVLMmgWR0Bb3EaqCHymdX2UKGgGaAloD0MIt0PDYtS1BcCUhpRSlGgVSzJoFkdAXBIW69TP0XV9lChoBmgJaA9DCMMtH0lJz/6/lIaUUpRoFUsyaBZHQFwKsU7CBPN1fZQoaAZoCWgPQwh1q+ek9036v5SGlFKUaBVLMmgWR0BcAMA3kxREdX2UKGgGaAloD0MIzqj5KvmYAcCUhpRSlGgVSzJoFkdAW/jVbzK9wnV9lChoBmgJaA9DCBWt3AvMCv6/lIaUUpRoFUsyaBZHQFwvPIn0Cih1fZQoaAZoCWgPQwhMUpliDoICwJSGlFKUaBVLMmgWR0BcJ9ZA6dUbdX2UKGgGaAloD0MIfzMxXYgV+b+UhpRSlGgVSzJoFkdAXB3itJWeYnV9lChoBmgJaA9DCIVCBBxCdQPAlIaUUpRoFUsyaBZHQFwV9f1Hvtt1fZQoaAZoCWgPQwjg2omSkIgBwJSGlFKUaBVLMmgWR0BcSs7yQPqcdX2UKGgGaAloD0MIFcYWghyU/r+UhpRSlGgVSzJoFkdAXENo0ygwoXV9lChoBmgJaA9DCKryPSMRGvq/lIaUUpRoFUsyaBZHQFw5dfsu3+d1fZQoaAZoCWgPQwjy7shYbd4CwJSGlFKUaBVLMmgWR0BcMYa99MK1dX2UKGgGaAloD0MIDycwndaNAcCUhpRSlGgVSzJoFkdAXGb70nPVu3V9lChoBmgJaA9DCBHiytk74/+/lIaUUpRoFUsyaBZHQFxflhgE2YR1fZQoaAZoCWgPQwiGcqJdhdT7v5SGlFKUaBVLMmgWR0BcVaKgqVhTdX2UKGgGaAloD0MIXYsWoG31/L+UhpRSlGgVSzJoFkdAXE21WsA/93V9lChoBmgJaA9DCJnTZTGxef+/lIaUUpRoFUsyaBZHQFyC1JlJ6IF1fZQoaAZoCWgPQwipnzcVqTD8v5SGlFKUaBVLMmgWR0Bce3erMkhSdX2UKGgGaAloD0MIZLK4/8jUAMCUhpRSlGgVSzJoFkdAXHGCpWFN+XV9lChoBmgJaA9DCHmUSnhCDwLAlIaUUpRoFUsyaBZHQFxpliSaEzx1fZQoaAZoCWgPQwiGqwMg7moDwJSGlFKUaBVLMmgWR0Bcn/Qa72+PdX2UKGgGaAloD0MIjqz8Mhjj/7+UhpRSlGgVSzJoFkdAXJiY3Ns3ynV9lChoBmgJaA9DCDdQ4J18evy/lIaUUpRoFUsyaBZHQFyOpRoAXEZ1fZQoaAZoCWgPQwg6ArhZvBj5v5SGlFKUaBVLMmgWR0BchrY5DJEIdX2UKGgGaAloD0MIGm7A54fxAMCUhpRSlGgVSzJoFkdAXL3LNfPX1HV9lChoBmgJaA9DCDIiUWhZ9/2/lIaUUpRoFUsyaBZHQFy2blijL0V1fZQoaAZoCWgPQwj0piIVxtb9v5SGlFKUaBVLMmgWR0BcrH889wFUdX2UKGgGaAloD0MIx3+BIECG/b+UhpRSlGgVSzJoFkdAXKST0QK8c3V9lChoBmgJaA9DCCxhbYyd8Py/lIaUUpRoFUsyaBZHQFzZt0V8CxN1fZQoaAZoCWgPQwin6bMDrmsAwJSGlFKUaBVLMmgWR0Bc0lSKm8/VdX2UKGgGaAloD0MI6EzaVN3jAsCUhpRSlGgVSzJoFkdAXMhkSVW0Z3V9lChoBmgJaA9DCHkiiPNwogDAlIaUUpRoFUsyaBZHQFzAg1FYuCh1fZQoaAZoCWgPQwg8SiU8oZf6v5SGlFKUaBVLMmgWR0Bc9r9If8uSdX2UKGgGaAloD0MIjpPCvMdZBcCUhpRSlGgVSzJoFkdAXO9bQkX1rnV9lChoBmgJaA9DCHB4QURqGgDAlIaUUpRoFUsyaBZHQFzlbRWtEG91fZQoaAZoCWgPQwjay7bT1sj9v5SGlFKUaBVLMmgWR0Bc3YVZcLSedX2UKGgGaAloD0MI/u+ICtVN/L+UhpRSlGgVSzJoFkdAXROax5cC5nV9lChoBmgJaA9DCJBnl2992Pm/lIaUUpRoFUsyaBZHQF0MMzuWrwR1fZQoaAZoCWgPQwhIqBlSRfH9v5SGlFKUaBVLMmgWR0BdAkMXrMTwdX2UKGgGaAloD0MI7Ggc6ncBAsCUhpRSlGgVSzJoFkdAXPpWFN+LFXV9lChoBmgJaA9DCI54spsZvfe/lIaUUpRoFUsyaBZHQF0vzGxUvPF1fZQoaAZoCWgPQwiIuaRquwn/v5SGlFKUaBVLMmgWR0BdKGfChvitdX2UKGgGaAloD0MI4/+OqFBdAMCUhpRSlGgVSzJoFkdAXR54JNTLn3V9lChoBmgJaA9DCFeXUwJikv6/lIaUUpRoFUsyaBZHQF0WjENvwVl1ZS4="
     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
         ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 150000,
+    "_n_updates": 2500,
     "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:e95f12a5326f12a56de4ad338f4cb01c367199be3d0833959462914eb21d89ff
+oid sha256:efb2a7b2131d2f76e9095b3fd1201385ad563770f56d485bf17e7d9cd3b34063
 size 44734

a2c-PandaReachDense-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:933494cf17a7249cbddb5e1ef74e958edd6f678aff2097c5705784906c33a9ba
+oid sha256:0827bc42ea7646a3552c946156bbabdc8f1273258a88192adebf3aedd02b47a9
 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 0x7f0cc2649670>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f0cc264c0f0>"}, "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": 3000000, "_total_timesteps": 3000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1674496800109913425, "learning_rate": 0.00096, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAA+VtJPzSpYD2xuHc/+VtJPzSpYD2xuHc/+VtJPzSpYD2xuHc/+VtJPzSpYD2xuHc/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAcZSYPuS6Sr9djNq/5fbBv786E76Js4O/umwlP6gi075EkNi/hxqFv7MGhr/XQce/lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAAD5W0k/NKlgPbG4dz9XJTY9LyJuu6pzcj35W0k/NKlgPbG4dz9XJTY9LyJuu6pzcj35W0k/NKlgPbG4dz9XJTY9LyJuu6pzcj35W0k/NKlgPbG4dz9XJTY9LyJuu6pzcj2UaA5LBEsGhpRoEnSUUpR1Lg==", "achieved_goal": "[[0.78655964 0.05484886 0.9676619 ]\n [0.78655964 0.05484886 0.9676619 ]\n [0.78655964 0.05484886 0.9676619 ]\n [0.78655964 0.05484886 0.9676619 ]]", "desired_goal": "[[ 0.29800752 -0.7919142  -1.7074085 ]\n [-1.5153471  -0.14377879 -1.0289165 ]\n [ 0.6461903  -0.41237378 -1.6919026 ]\n [-1.039872   -1.0470794  -1.5566968 ]]", "observation": "[[ 0.78655964  0.05484886  0.9676619   0.0444692  -0.00363363  0.05919234]\n [ 0.78655964  0.05484886  0.9676619   0.0444692  -0.00363363  0.05919234]\n [ 0.78655964  0.05484886  0.9676619   0.0444692  -0.00363363  0.05919234]\n [ 0.78655964  0.05484886  0.9676619   0.0444692  -0.00363363  0.05919234]]"}, "_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": "[[-0.00826381  0.0857859   0.10300739]\n [-0.07996922  0.02381151  0.21541128]\n [ 0.06685439 -0.06140421  0.08623967]\n [-0.0340631   0.0890421   0.16501057]]", "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////9LAHSUYkMI+wJ64c6tKsCUhpRSlIwBbJRLMowBdJRHQLxaZFI/Z/V1fZQoaAZoCWgPQwi7mGa616klwJSGlFKUaBVLMmgWR0C8WkZy6tkndX2UKGgGaAloD0MIHuIftvTYH8CUhpRSlGgVSzJoFkdAvFoXiZOSGXV9lChoBmgJaA9DCIwwRbk0jhbAlIaUUpRoFUsyaBZHQLxZ6bpeNT91fZQoaAZoCWgPQwh+/RAbLGwlwJSGlFKUaBVLMmgWR0C8WtvznRsudX2UKGgGaAloD0MIXHFxVG46LsCUhpRSlGgVSzJoFkdAvFq9wvQF93V9lChoBmgJaA9DCIOnkCv17CXAlIaUUpRoFUsyaBZHQLxajsZpBX11fZQoaAZoCWgPQwgmjdE6qlodwJSGlFKUaBVLMmgWR0C8WmC6xxDLdX2UKGgGaAloD0MIc6Hyr+UJNMCUhpRSlGgVSzJoFkdAvFtd7CzkZXV9lChoBmgJaA9DCM6LE1/teB/AlIaUUpRoFUsyaBZHQLxbP7zkIX11fZQoaAZoCWgPQwhCl3DoLeYgwJSGlFKUaBVLMmgWR0C8WxCoKlYVdX2UKGgGaAloD0MIwhN6/UkgM8CUhpRSlGgVSzJoFkdAvFrihRIjGHV9lChoBmgJaA9DCJP8iF+xbiDAlIaUUpRoFUsyaBZHQLxb0CFsYVJ1fZQoaAZoCWgPQwjvAiUFFrgowJSGlFKUaBVLMmgWR0C8W7H+ERJ3dX2UKGgGaAloD0MIHeT1YFKsE8CUhpRSlGgVSzJoFkdAvFuC7btZ3nV9lChoBmgJaA9DCFzMzw1NkSbAlIaUUpRoFUsyaBZHQLxbVKqn3td1fZQoaAZoCWgPQwiQSUbOwo4lwJSGlFKUaBVLMmgWR0C8XE5qIrOJdX2UKGgGaAloD0MIRtEDH4NFIsCUhpRSlGgVSzJoFkdAvFwwo9cKPXV9lChoBmgJaA9DCENTdvpBsTHAlIaUUpRoFUsyaBZHQLxcAbW3BpJ1fZQoaAZoCWgPQwj7XdiarZwawJSGlFKUaBVLMmgWR0C8W9N/z8P4dX2UKGgGaAloD0MIKEnXTL6hIMCUhpRSlGgVSzJoFkdAvFzCaLGaQXV9lChoBmgJaA9DCH79EBssxCPAlIaUUpRoFUsyaBZHQLxcpGTcIqt1fZQoaAZoCWgPQwjScMrcfLMhwJSGlFKUaBVLMmgWR0C8XHVRtP56dX2UKGgGaAloD0MII/jfSnZ8KsCUhpRSlGgVSzJoFkdAvFxHSx7iQ3V9lChoBmgJaA9DCGPQCaGDzirAlIaUUpRoFUsyaBZHQLxdPN0vGqB1fZQoaAZoCWgPQwj1vvG1Z+4ywJSGlFKUaBVLMmgWR0C8XR83Mpw0dX2UKGgGaAloD0MIVfgzvFkLIsCUhpRSlGgVSzJoFkdAvFzwbp/wzHV9lChoBmgJaA9DCCiCOA8nQB/AlIaUUpRoFUsyaBZHQLxcwmSyMUB1fZQoaAZoCWgPQwh8RiI0gjkxwJSGlFKUaBVLMmgWR0C8XceTeO4odX2UKGgGaAloD0MIvRx23zEENsCUhpRSlGgVSzJoFkdAvF2pz7uUlnV9lChoBmgJaA9DCJfGL7ySxCDAlIaUUpRoFUsyaBZHQLxdesLORkp1fZQoaAZoCWgPQwiXHeIftpwwwJSGlFKUaBVLMmgWR0C8XUzRtxdZdX2UKGgGaAloD0MID0JAvoRSI8CUhpRSlGgVSzJoFkdAvF411RtP6HV9lChoBmgJaA9DCLVSCOQS3yHAlIaUUpRoFUsyaBZHQLxeGBwdbPh1fZQoaAZoCWgPQwisN2qF6fMpwJSGlFKUaBVLMmgWR0C8XekZR8+idX2UKGgGaAloD0MIZyrEI/EaJMCUhpRSlGgVSzJoFkdAvF265PM0QHV9lChoBmgJaA9DCMMoCB7fJjPAlIaUUpRoFUsyaBZHQLxeufQ8fV91fZQoaAZoCWgPQwh48umxLe81wJSGlFKUaBVLMmgWR0C8Xpv/WDpUdX2UKGgGaAloD0MIs9DOaRZgMsCUhpRSlGgVSzJoFkdAvF5s8V58jXV9lChoBmgJaA9DCJRnXg67hybAlIaUUpRoFUsyaBZHQLxePrJr+Hd1fZQoaAZoCWgPQwhLcyuE1QQywJSGlFKUaBVLMmgWR0C8XzM1fmcOdX2UKGgGaAloD0MIthSQ9j8wJ8CUhpRSlGgVSzJoFkdAvF8VDZ13dXV9lChoBmgJaA9DCDW1bK0vGiLAlIaUUpRoFUsyaBZHQLxe5gAIY3x1fZQoaAZoCWgPQwi8H7dfPqElwJSGlFKUaBVLMmgWR0C8Xrfp2U0OdX2UKGgGaAloD0MIdnCwNzHIMMCUhpRSlGgVSzJoFkdAvF+mzY287XV9lChoBmgJaA9DCMcvvJLkuRvAlIaUUpRoFUsyaBZHQLxfiKrq+rV1fZQoaAZoCWgPQwia6sn8oz8cwJSGlFKUaBVLMmgWR0C8X1mrfcesdX2UKGgGaAloD0MINIKN699tIcCUhpRSlGgVSzJoFkdAvF8rgbZOBXV9lChoBmgJaA9DCOARFaqb+x3AlIaUUpRoFUsyaBZHQLxgH5Lh73R1fZQoaAZoCWgPQwgpCYm0jX8mwJSGlFKUaBVLMmgWR0C8YAFqzqrzdX2UKGgGaAloD0MIpaKx9nc+J8CUhpRSlGgVSzJoFkdAvF/SXnhbW3V9lChoBmgJaA9DCEBqEyf3mx3AlIaUUpRoFUsyaBZHQLxfpJbt7a91fZQoaAZoCWgPQwjj/iPToQcxwJSGlFKUaBVLMmgWR0C8YJrxmTTwdX2UKGgGaAloD0MImMCtu3kaLMCUhpRSlGgVSzJoFkdAvGB82FWXC3V9lChoBmgJaA9DCLgHISBfMinAlIaUUpRoFUsyaBZHQLxgTcjqv/11fZQoaAZoCWgPQwj3ItqOqQsrwJSGlFKUaBVLMmgWR0C8YB+VTrE+dX2UKGgGaAloD0MIkbQbfcw7MsCUhpRSlGgVSzJoFkdAvGES3XqZ+nV9lChoBmgJaA9DCHe+nxovXQ3AlIaUUpRoFUsyaBZHQLxg9K2rn1Z1fZQoaAZoCWgPQwg5miMrvxwawJSGlFKUaBVLMmgWR0C8YMWPDHfedX2UKGgGaAloD0MIUtfa+1TVG8CUhpRSlGgVSzJoFkdAvGCXVDrquHV9lChoBmgJaA9DCAABa9WukSPAlIaUUpRoFUsyaBZHQLxhgpKzzEt1fZQoaAZoCWgPQwi5iVqaW2kiwJSGlFKUaBVLMmgWR0C8YWRoEjgRdX2UKGgGaAloD0MI7L/OTZthHsCUhpRSlGgVSzJoFkdAvGE1T850bXV9lChoBmgJaA9DCLMkQE0tgyXAlIaUUpRoFUsyaBZHQLxhBx1gYxd1fZQoaAZoCWgPQwg4SfPHtLYpwJSGlFKUaBVLMmgWR0C8YfORxLkCdX2UKGgGaAloD0MIrBxaZDtvJsCUhpRSlGgVSzJoFkdAvGHVa3ZwoHV9lChoBmgJaA9DCMBbIEHxwyHAlIaUUpRoFUsyaBZHQLxhplchTwV1fZQoaAZoCWgPQwjbatYZ33ccwJSGlFKUaBVLMmgWR0C8YXhYJVsDdX2UKGgGaAloD0MI+nyUERd8NsCUhpRSlGgVSzJoFkdAvGJsixFAmnV9lChoBmgJaA9DCJJYUu4+dyjAlIaUUpRoFUsyaBZHQLxiTnhbW3B1fZQoaAZoCWgPQwjNkZVfBlMswJSGlFKUaBVLMmgWR0C8Yh9sJpnIdX2UKGgGaAloD0MIYcPTK2VZJcCUhpRSlGgVSzJoFkdAvGHxNXYDknV9lChoBmgJaA9DCHTTZpyGOCjAlIaUUpRoFUsyaBZHQLxi5Cpm29d1fZQoaAZoCWgPQwhLkXwlkGouwJSGlFKUaBVLMmgWR0C8YsYYFaB7dX2UKGgGaAloD0MIbO7of7l2KcCUhpRSlGgVSzJoFkdAvGKXOu7pV3V9lChoBmgJaA9DCGTqruyCYSrAlIaUUpRoFUsyaBZHQLxiaQP7N0N1fZQoaAZoCWgPQwiOWItPAWAgwJSGlFKUaBVLMmgWR0C8Y148+zMSdX2UKGgGaAloD0MI3pGx2vxnK8CUhpRSlGgVSzJoFkdAvGNAKmbb13V9lChoBmgJaA9DCGB0eXO4xh7AlIaUUpRoFUsyaBZHQLxjEULDye91fZQoaAZoCWgPQwh7Tnrf+L42wJSGlFKUaBVLMmgWR0C8YuNYW+GodX2UKGgGaAloD0MIVMTpJFu9IsCUhpRSlGgVSzJoFkdAvGPcwfyPMnV9lChoBmgJaA9DCCR7hJohSTXAlIaUUpRoFUsyaBZHQLxjvvAXVLB1fZQoaAZoCWgPQwg3+wPltk0iwJSGlFKUaBVLMmgWR0C8Y4/bCaZydX2UKGgGaAloD0MI5KHvbmVJNcCUhpRSlGgVSzJoFkdAvGNh3JPqLXV9lChoBmgJaA9DCGyWy0bnfBrAlIaUUpRoFUsyaBZHQLxkUcYIjW11fZQoaAZoCWgPQwg1zxH5LvUkwJSGlFKUaBVLMmgWR0C8ZDOcH4XXdX2UKGgGaAloD0MIT+W0p+QcF8CUhpRSlGgVSzJoFkdAvGQEjRlYl3V9lChoBmgJaA9DCO4HPDCA8BvAlIaUUpRoFUsyaBZHQLxj1lyBCld1fZQoaAZoCWgPQwgOEw1S8DQgwJSGlFKUaBVLMmgWR0C8ZNCXD3uedX2UKGgGaAloD0MI3CkdrP9jNMCUhpRSlGgVSzJoFkdAvGSywdKdx3V9lChoBmgJaA9DCOay0Tk/VSvAlIaUUpRoFUsyaBZHQLxkg7Omixp1fZQoaAZoCWgPQwjZeRubHakzwJSGlFKUaBVLMmgWR0C8ZFWKEWZadX2UKGgGaAloD0MI5E7pYP3vHMCUhpRSlGgVSzJoFkdAvGVce5nUUnV9lChoBmgJaA9DCMOgTKPJ9SDAlIaUUpRoFUsyaBZHQLxlPlGPPs11fZQoaAZoCWgPQwi4sdmR6gsswJSGlFKUaBVLMmgWR0C8ZQ+ZCv5hdX2UKGgGaAloD0MIonprYKvwM8CUhpRSlGgVSzJoFkdAvGThnxri2nV9lChoBmgJaA9DCPaVB+kpijfAlIaUUpRoFUsyaBZHQLxl2KEnLJV1fZQoaAZoCWgPQwiZucDlscYjwJSGlFKUaBVLMmgWR0C8Zbp57gKndX2UKGgGaAloD0MI+P9xwoTRIsCUhpRSlGgVSzJoFkdAvGWLafzz3HV9lChoBmgJaA9DCI/Ey9O59jLAlIaUUpRoFUsyaBZHQLxlXYmsvIx1ZS4="}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 150000, "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 0x7f0cc2649670>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f0cc264c0f0>"}, "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": 50000, "_total_timesteps": 50000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1674504465207733363, "learning_rate": 0.002, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAAB6OEPjKOvb17jxA/B6OEPjKOvb17jxA/B6OEPjKOvb17jxA/B6OEPjKOvb17jxA/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAADhR+v3CzHz9/se2+uHbmPh1Pvb8Ju4e/1OZJP0iFpr9ksqA+IQyiP92wib2AVwC+lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAAAHo4Q+Mo69vXuPED9rlhk8Jth5u1HgqDwHo4Q+Mo69vXuPED9rlhk8Jth5u1HgqDwHo4Q+Mo69vXuPED9rlhk8Jth5u1HgqDwHo4Q+Mo69vXuPED9rlhk8Jth5u1HgqDyUaA5LBEsGhpRoEnSUUpR1Lg==", "achieved_goal": "[[ 0.2590563  -0.09255637  0.56468934]\n [ 0.2590563  -0.09255637  0.56468934]\n [ 0.2590563  -0.09255637  0.56468934]\n [ 0.2590563  -0.09255637  0.56468934]]", "desired_goal": "[[-0.9924935   0.62383175 -0.4642448 ]\n [ 0.4501245  -1.4789768  -1.0603954 ]\n [ 0.7886784  -1.3009424   0.313861  ]\n [ 1.2659951  -0.06723187 -0.12533379]]", "observation": "[[ 0.2590563  -0.09255637  0.56468934  0.00937424 -0.00381232  0.02061477]\n [ 0.2590563  -0.09255637  0.56468934  0.00937424 -0.00381232  0.02061477]\n [ 0.2590563  -0.09255637  0.56468934  0.00937424 -0.00381232  0.02061477]\n [ 0.2590563  -0.09255637  0.56468934  0.00937424 -0.00381232  0.02061477]]"}, "_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": "[[ 0.13697916  0.02975653  0.07135629]\n [ 0.11884101 -0.08664808  0.2180954 ]\n [ 0.02970012 -0.08007087  0.23106791]\n [-0.02603067  0.00543763  0.17386782]]", "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": 2500, "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": -10.800488355197013, "std_reward": 4.973561722235207, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-01-23T20:01:07.992821"}
+{"mean_reward": -1.7236526102758944, "std_reward": 0.2858464226009051, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-01-23T20:09:50.705256"}

vec_normalize.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e0da2c1e64a6e33b3148b91c2d03edadeb2d1456181eabc3025ab52a5a79e1b7
+oid sha256:539dca026003a1c3204b7829f39d0484bfa51914abe24e685c0717fbe8128ed2
 size 3212