Initial commit
Browse files- README.md +1 -1
- a2c-PandaReachDense-v2.zip +2 -2
- a2c-PandaReachDense-v2/data +11 -11
- a2c-PandaReachDense-v2/policy.optimizer.pth +1 -1
- a2c-PandaReachDense-v2/policy.pth +1 -1
- config.json +1 -1
- replay.mp4 +2 -2
- results.json +1 -1
- vec_normalize.pkl +1 -1
README.md
CHANGED
@@ -16,7 +16,7 @@ model-index:
|
|
16 |
type: PandaReachDense-v2
|
17 |
metrics:
|
18 |
- type: mean_reward
|
19 |
-
value: -
|
20 |
name: mean_reward
|
21 |
verified: false
|
22 |
---
|
|
|
16 |
type: PandaReachDense-v2
|
17 |
metrics:
|
18 |
- type: mean_reward
|
19 |
+
value: -6.38 +/- 1.43
|
20 |
name: mean_reward
|
21 |
verified: false
|
22 |
---
|
a2c-PandaReachDense-v2.zip
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c007dd44027d636e9a15d52eebff95e953b12fcc0697115443a49059e372a135
|
3 |
+
size 107818
|
a2c-PandaReachDense-v2/data
CHANGED
@@ -19,12 +19,12 @@
|
|
19 |
"weight_decay": 0
|
20 |
}
|
21 |
},
|
22 |
-
"num_timesteps":
|
23 |
-
"_total_timesteps":
|
24 |
"_num_timesteps_at_start": 0,
|
25 |
"seed": null,
|
26 |
"action_noise": null,
|
27 |
-
"start_time":
|
28 |
"learning_rate": 0.0007,
|
29 |
"tensorboard_log": null,
|
30 |
"lr_schedule": {
|
@@ -33,10 +33,10 @@
|
|
33 |
},
|
34 |
"_last_obs": {
|
35 |
":type:": "<class 'collections.OrderedDict'>",
|
36 |
-
":serialized:": "
|
37 |
-
"achieved_goal": "[[0.
|
38 |
-
"desired_goal": "[[ 0.
|
39 |
-
"observation": "[[0.
|
40 |
},
|
41 |
"_last_episode_starts": {
|
42 |
":type:": "<class 'numpy.ndarray'>",
|
@@ -44,9 +44,9 @@
|
|
44 |
},
|
45 |
"_last_original_obs": {
|
46 |
":type:": "<class 'collections.OrderedDict'>",
|
47 |
-
":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAA6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////
|
48 |
"achieved_goal": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]]",
|
49 |
-
"desired_goal": "[[
|
50 |
"observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]]"
|
51 |
},
|
52 |
"_episode_num": 0,
|
@@ -56,13 +56,13 @@
|
|
56 |
"_stats_window_size": 100,
|
57 |
"ep_info_buffer": {
|
58 |
":type:": "<class 'collections.deque'>",
|
59 |
-
":serialized:": "gAWVHRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////
|
60 |
},
|
61 |
"ep_success_buffer": {
|
62 |
":type:": "<class 'collections.deque'>",
|
63 |
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
|
64 |
},
|
65 |
-
"_n_updates":
|
66 |
"n_steps": 5,
|
67 |
"gamma": 0.99,
|
68 |
"gae_lambda": 1.0,
|
|
|
19 |
"weight_decay": 0
|
20 |
}
|
21 |
},
|
22 |
+
"num_timesteps": 1500000,
|
23 |
+
"_total_timesteps": 1500000,
|
24 |
"_num_timesteps_at_start": 0,
|
25 |
"seed": null,
|
26 |
"action_noise": null,
|
27 |
+
"start_time": 1689858208899348459,
|
28 |
"learning_rate": 0.0007,
|
29 |
"tensorboard_log": null,
|
30 |
"lr_schedule": {
|
|
|
33 |
},
|
34 |
"_last_obs": {
|
35 |
":type:": "<class 'collections.OrderedDict'>",
|
36 |
+
":serialized:": "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",
|
37 |
+
"achieved_goal": "[[ 0.42343783 -0.07881407 0.55557317]\n [ 0.42343783 -0.07881407 0.55557317]\n [ 0.42343783 -0.07881407 0.55557317]\n [ 0.42343783 -0.07881407 0.55557317]]",
|
38 |
+
"desired_goal": "[[ 1.6481555 0.659849 -1.3973926 ]\n [ 1.627933 0.08543482 0.69514716]\n [ 0.03601551 1.4766675 -0.4344129 ]\n [-0.76093113 0.23088917 1.5215305 ]]",
|
39 |
+
"observation": "[[ 0.42343783 -0.07881407 0.55557317 -0.00831584 -0.0031268 -0.01486709]\n [ 0.42343783 -0.07881407 0.55557317 -0.00831584 -0.0031268 -0.01486709]\n [ 0.42343783 -0.07881407 0.55557317 -0.00831584 -0.0031268 -0.01486709]\n [ 0.42343783 -0.07881407 0.55557317 -0.00831584 -0.0031268 -0.01486709]]"
|
40 |
},
|
41 |
"_last_episode_starts": {
|
42 |
":type:": "<class 'numpy.ndarray'>",
|
|
|
44 |
},
|
45 |
"_last_original_obs": {
|
46 |
":type:": "<class 'collections.OrderedDict'>",
|
47 |
+
":serialized:": "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",
|
48 |
"achieved_goal": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]]",
|
49 |
+
"desired_goal": "[[ 0.05277938 0.13976139 0.02184806]\n [ 0.08416764 0.09623253 0.07806611]\n [ 0.11641828 0.01152297 0.04250661]\n [-0.03747839 -0.00449892 0.2967281 ]]",
|
50 |
"observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]]"
|
51 |
},
|
52 |
"_episode_num": 0,
|
|
|
56 |
"_stats_window_size": 100,
|
57 |
"ep_info_buffer": {
|
58 |
":type:": "<class 'collections.deque'>",
|
59 |
+
":serialized:": "gAWVHRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIK8JNRpUhCcCUhpRSlIwBbJRLMowBdJRHQLOFRd4Vym11fZQoaAZoCWgPQwhQ/Bhz11IOwJSGlFKUaBVLMmgWR0CzhR55u63BdX2UKGgGaAloD0MIOpM2Vfd4IsCUhpRSlGgVSzJoFkdAs4TusZHd43V9lChoBmgJaA9DCJ0std5vBB/AlIaUUpRoFUsyaBZHQLOEsx1gYxd1fZQoaAZoCWgPQwjNyvYhb/kWwJSGlFKUaBVLMmgWR0CzhdgdS2pidX2UKGgGaAloD0MI6iCvB5NyF8CUhpRSlGgVSzJoFkdAs4WwsYl6aHV9lChoBmgJaA9DCFKAKJgxrSHAlIaUUpRoFUsyaBZHQLOFgPMB6rx1fZQoaAZoCWgPQwiHM7+aAyQdwJSGlFKUaBVLMmgWR0CzhUVmz0HydX2UKGgGaAloD0MIV5QSglWVE8CUhpRSlGgVSzJoFkdAs4Zrd0q6OHV9lChoBmgJaA9DCF7yP/m71wvAlIaUUpRoFUsyaBZHQLOGRBxxT851fZQoaAZoCWgPQwgfuTXpthQRwJSGlFKUaBVLMmgWR0CzhhTru6VddX2UKGgGaAloD0MI7IUCtoNpI8CUhpRSlGgVSzJoFkdAs4XaBYmsvXV9lChoBmgJaA9DCHPYfcfwmBHAlIaUUpRoFUsyaBZHQLOG9wUg0TF1fZQoaAZoCWgPQwhKmdTQBiAiwJSGlFKUaBVLMmgWR0Czhs+MdcSodX2UKGgGaAloD0MIml/NAYKJHMCUhpRSlGgVSzJoFkdAs4afpFCswXV9lChoBmgJaA9DCCpXeJeLiCDAlIaUUpRoFUsyaBZHQLOGZAymALB1fZQoaAZoCWgPQwj6eyk8aA4hwJSGlFKUaBVLMmgWR0Czh7PkeZG8dX2UKGgGaAloD0MIprc/Fw0ZGsCUhpRSlGgVSzJoFkdAs4eMxpL26HV9lChoBmgJaA9DCCMRGsHGdRHAlIaUUpRoFUsyaBZHQLOHXS/CZWt1fZQoaAZoCWgPQwhLsDic+SUgwJSGlFKUaBVLMmgWR0CzhyHvlU6xdX2UKGgGaAloD0MIBMqmXOEtHcCUhpRSlGgVSzJoFkdAs4idCx/us3V9lChoBmgJaA9DCMozL4fdTyLAlIaUUpRoFUsyaBZHQLOIde5Fw1l1fZQoaAZoCWgPQwhZvi7DfzoPwJSGlFKUaBVLMmgWR0CziEZ00WM1dX2UKGgGaAloD0MInwH1ZtQ8DcCUhpRSlGgVSzJoFkdAs4gLXqZ+hHV9lChoBmgJaA9DCDhqhel7LRnAlIaUUpRoFUsyaBZHQLOJfzeGfwt1fZQoaAZoCWgPQwiXxcTm4yodwJSGlFKUaBVLMmgWR0CziVgrYoRadX2UKGgGaAloD0MIQZqxaDqrEsCUhpRSlGgVSzJoFkdAs4ko6hg3LnV9lChoBmgJaA9DCIj2sYLfNhPAlIaUUpRoFUsyaBZHQLOI7cYZVGV1fZQoaAZoCWgPQwjiBnx+GAEewJSGlFKUaBVLMmgWR0CzimIvrWy1dX2UKGgGaAloD0MIvCNjtfkPE8CUhpRSlGgVSzJoFkdAs4o7RSgoPXV9lChoBmgJaA9DCJon1xTIvBfAlIaUUpRoFUsyaBZHQLOKDA6uGK11fZQoaAZoCWgPQwiyDdyBOnUTwJSGlFKUaBVLMmgWR0CzidEOI68ydX2UKGgGaAloD0MI/fUKC+53GcCUhpRSlGgVSzJoFkdAs4tRlGwzL3V9lChoBmgJaA9DCOs2qP3WThfAlIaUUpRoFUsyaBZHQLOLKo4uK4x1fZQoaAZoCWgPQwi9cr1tpgIVwJSGlFKUaBVLMmgWR0CzivtCqp97dX2UKGgGaAloD0MI9DehEAE/I8CUhpRSlGgVSzJoFkdAs4rABU70WnV9lChoBmgJaA9DCDIge7374xXAlIaUUpRoFUsyaBZHQLOL+koF3ZB1fZQoaAZoCWgPQwiN7bWg9wYcwJSGlFKUaBVLMmgWR0Czi9L70nPWdX2UKGgGaAloD0MIhsjp6/naHMCUhpRSlGgVSzJoFkdAs4ujRlYlp3V9lChoBmgJaA9DCLLWUGovAhDAlIaUUpRoFUsyaBZHQLOLZ88cMmZ1fZQoaAZoCWgPQwjOGyeFee8UwJSGlFKUaBVLMmgWR0CzjIqMrEtNdX2UKGgGaAloD0MIKh+CqtGrEMCUhpRSlGgVSzJoFkdAs4xjPszEaXV9lChoBmgJaA9DCJs8ZTVd/xjAlIaUUpRoFUsyaBZHQLOMM1w5vLp1fZQoaAZoCWgPQwj+tFGdDqQdwJSGlFKUaBVLMmgWR0Czi/fqC6H1dX2UKGgGaAloD0MI2h694T6yEsCUhpRSlGgVSzJoFkdAs40iyUs4DXV9lChoBmgJaA9DCOi8xi5RXRjAlIaUUpRoFUsyaBZHQLOM+5ylvZR1fZQoaAZoCWgPQwjZQpCDEmYUwJSGlFKUaBVLMmgWR0CzjMvKEFnqdX2UKGgGaAloD0MIHXdKB+u/FMCUhpRSlGgVSzJoFkdAs4yQSlFc6nV9lChoBmgJaA9DCLa7B+i+TBnAlIaUUpRoFUsyaBZHQLONspD/lyR1fZQoaAZoCWgPQwj43t+gvboZwJSGlFKUaBVLMmgWR0CzjYsZtNzsdX2UKGgGaAloD0MIhV0UPfBRFcCUhpRSlGgVSzJoFkdAs41bUoa1kXV9lChoBmgJaA9DCPYpx2RxbxTAlIaUUpRoFUsyaBZHQLONH7+kxh51fZQoaAZoCWgPQwgVU+knnF0awJSGlFKUaBVLMmgWR0CzjkUbkwN9dX2UKGgGaAloD0MIL4oe+BiMGcCUhpRSlGgVSzJoFkdAs44dpg1FY3V9lChoBmgJaA9DCJ2AJsKG3yDAlIaUUpRoFUsyaBZHQLON7cafjCJ1fZQoaAZoCWgPQwhp4bIKm6EWwJSGlFKUaBVLMmgWR0CzjbJTVDrrdX2UKGgGaAloD0MIg4jUtIsJFMCUhpRSlGgVSzJoFkdAs47fwe/5+HV9lChoBmgJaA9DCNJRDmYTUBTAlIaUUpRoFUsyaBZHQLOOuGdI5HV1fZQoaAZoCWgPQwh1x2KbVMQawJSGlFKUaBVLMmgWR0CzjoiOaOPvdX2UKGgGaAloD0MINGd9yjEJG8CUhpRSlGgVSzJoFkdAs45NFtsN2HV9lChoBmgJaA9DCIKrPIGwMw3AlIaUUpRoFUsyaBZHQLOPeyRSxaB1fZQoaAZoCWgPQwi6Z12j5cAXwJSGlFKUaBVLMmgWR0Czj1PL9uP4dX2UKGgGaAloD0MIDoY6rHArIcCUhpRSlGgVSzJoFkdAs48kAjps43V9lChoBmgJaA9DCF0XfnA+VRnAlIaUUpRoFUsyaBZHQLOO6HCGetl1fZQoaAZoCWgPQwh7hQX3A24YwJSGlFKUaBVLMmgWR0CzkAkbT+efdX2UKGgGaAloD0MIC89LxcZcH8CUhpRSlGgVSzJoFkdAs4/hu/Dcd3V9lChoBmgJaA9DCM9m1edqqxfAlIaUUpRoFUsyaBZHQLOPsdH2AXl1fZQoaAZoCWgPQwjMYfcdwzMWwJSGlFKUaBVLMmgWR0Czj3ZBsyi3dX2UKGgGaAloD0MIKENVTKXPHcCUhpRSlGgVSzJoFkdAs5CWP3i71HV9lChoBmgJaA9DCPn3GRcOhBPAlIaUUpRoFUsyaBZHQLOQb1stTUB1fZQoaAZoCWgPQwjxf0dUqF4YwJSGlFKUaBVLMmgWR0CzkD+J53TvdX2UKGgGaAloD0MIWDuKc9TRFMCUhpRSlGgVSzJoFkdAs5AECnxaxHV9lChoBmgJaA9DCKvOaoE9Zh3AlIaUUpRoFUsyaBZHQLORJyo4uK51fZQoaAZoCWgPQwg3iNaKNgcewJSGlFKUaBVLMmgWR0CzkP/GZNO/dX2UKGgGaAloD0MI5bZ9j/o7EsCUhpRSlGgVSzJoFkdAs5DP+n62v3V9lChoBmgJaA9DCIbmOo20JBrAlIaUUpRoFUsyaBZHQLOQlHwgDA91fZQoaAZoCWgPQwiDo+TVOQYWwJSGlFKUaBVLMmgWR0CzkbbQb+98dX2UKGgGaAloD0MIVi3pKAeDEMCUhpRSlGgVSzJoFkdAs5GPh/Aj6nV9lChoBmgJaA9DCDbNO07RcRXAlIaUUpRoFUsyaBZHQLORX9d/rjZ1fZQoaAZoCWgPQwiLNse5TWghwJSGlFKUaBVLMmgWR0CzkSRP9DQadX2UKGgGaAloD0MISBrc1hZ+CsCUhpRSlGgVSzJoFkdAs5JTcvduYXV9lChoBmgJaA9DCAmH3uLh3RPAlIaUUpRoFUsyaBZHQLOSLC9ytFN1fZQoaAZoCWgPQwjfo/56hRUTwJSGlFKUaBVLMmgWR0CzkfxzJZGKdX2UKGgGaAloD0MIRMAhVKlJEsCUhpRSlGgVSzJoFkdAs5HA8xKxs3V9lChoBmgJaA9DCKmkTkATwRnAlIaUUpRoFUsyaBZHQLOS6KOT7l91fZQoaAZoCWgPQwiLxtrf2eYgwJSGlFKUaBVLMmgWR0CzksFWfbsXdX2UKGgGaAloD0MIjDBFuTQOIsCUhpRSlGgVSzJoFkdAs5KRgLJCB3V9lChoBmgJaA9DCM/Yl2w86BXAlIaUUpRoFUsyaBZHQLOSVf8/D+B1fZQoaAZoCWgPQwiUap+OxywRwJSGlFKUaBVLMmgWR0Czk3zAJswddX2UKGgGaAloD0MIWYejq3SHFMCUhpRSlGgVSzJoFkdAs5NVYHPeHnV9lChoBmgJaA9DCBKJQsu63xTAlIaUUpRoFUsyaBZHQLOTJaNMoMN1fZQoaAZoCWgPQwi8I2O1+T8cwJSGlFKUaBVLMmgWR0CzkuouscQzdX2UKGgGaAloD0MIQ6z+CMMwFsCUhpRSlGgVSzJoFkdAs5QUjeKsMnV9lChoBmgJaA9DCM+goX+CKyXAlIaUUpRoFUsyaBZHQLOT7Rr8BMl1fZQoaAZoCWgPQwgYzF8hcxUcwJSGlFKUaBVLMmgWR0Czk706tDD1dX2UKGgGaAloD0MIkX2QZcHkGcCUhpRSlGgVSzJoFkdAs5OByfcvd3V9lChoBmgJaA9DCAjHLHsSyBLAlIaUUpRoFUsyaBZHQLOUpH1e0HB1fZQoaAZoCWgPQwhFuTR+4SUfwJSGlFKUaBVLMmgWR0CzlH0lAu7IdX2UKGgGaAloD0MIPSr+74g6HcCUhpRSlGgVSzJoFkdAs5RNQ/HHWHV9lChoBmgJaA9DCAxAo3TpNyDAlIaUUpRoFUsyaBZHQLOUEb+98JF1ZS4="
|
60 |
},
|
61 |
"ep_success_buffer": {
|
62 |
":type:": "<class 'collections.deque'>",
|
63 |
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
|
64 |
},
|
65 |
+
"_n_updates": 75000,
|
66 |
"n_steps": 5,
|
67 |
"gamma": 0.99,
|
68 |
"gae_lambda": 1.0,
|
a2c-PandaReachDense-v2/policy.optimizer.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 44606
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:873c57e1be1f4461bd7ea0a9bf6b96e74befd7a187ac15d83ecaf814da063029
|
3 |
size 44606
|
a2c-PandaReachDense-v2/policy.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 45886
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7825494cc13885eb39dfeb3f0ff8e4d3e7046e51cb463f7a7df20e6477184719
|
3 |
size 45886
|
config.json
CHANGED
@@ -1 +1 @@
|
|
1 |
-
{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVRQAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMG011bHRpSW5wdXRBY3RvckNyaXRpY1BvbGljeZSTlC4=", "__module__": "stable_baselines3.common.policies", "__doc__": "\n MultiInputActorClass policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\n\n :param observation_space: Observation space (Tuple)\n :param action_space: Action space\n :param lr_schedule: Learning rate schedule (could be constant)\n :param net_arch: The specification of the policy and value networks.\n :param activation_fn: Activation function\n :param ortho_init: Whether to use or not orthogonal initialization\n :param use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n :param squash_output: Whether to squash the output using a tanh function,\n this allows to ensure boundaries when using gSDE.\n :param features_extractor_class: Uses the CombinedExtractor\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param share_features_extractor: If True, the features extractor is shared between the policy and value networks.\n :param normalize_images: Whether to normalize images or not,\n dividing by 255.0 (True by default)\n :param optimizer_class: The optimizer to use,\n ``th.optim.Adam`` by default\n :param optimizer_kwargs: Additional keyword arguments,\n excluding the learning rate, to pass to the optimizer\n ", "__init__": "<function MultiInputActorCriticPolicy.__init__ at 0x7d424dcbda20>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7d424dcb9780>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gAWVgQAAAAAAAAB9lCiMD29wdGltaXplcl9jbGFzc5SME3RvcmNoLm9wdGltLnJtc3Byb3CUjAdSTVNwcm9wlJOUjBBvcHRpbWl6ZXJfa3dhcmdzlH2UKIwFYWxwaGGURz/vrhR64UeujANlcHOURz7k+LWI42jxjAx3ZWlnaHRfZGVjYXmUSwB1dS4=", "optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>", "optimizer_kwargs": {"alpha": 0.99, "eps": 1e-05, "weight_decay": 0}}, "num_timesteps": 1000000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1689846655169514109, "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": "[[0.2931373 0.02393559 0.44176203]\n [0.2931373 0.02393559 0.44176203]\n [0.2931373 0.02393559 0.44176203]\n [0.2931373 0.02393559 0.44176203]]", "desired_goal": "[[ 0.35728282 -0.68344235 0.56276196]\n [-0.23104806 1.5431619 1.2896546 ]\n [-0.48962238 0.7686447 -0.5018666 ]\n [ 1.188033 -1.0390486 -0.32156667]]", "observation": "[[0.2931373 0.02393559 0.44176203 0.00965019 0.00181174 0.00122677]\n [0.2931373 0.02393559 0.44176203 0.00965019 0.00181174 0.00122677]\n [0.2931373 0.02393559 0.44176203 0.00965019 0.00181174 0.00122677]\n [0.2931373 0.02393559 0.44176203 0.00965019 0.00181174 0.00122677]]"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAA6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAOycMvgzML72wjZY+ptRoPezamr1CCIo+1qvrPXGRAL6VmB4+Ao6VvWYqcD0F4nw8lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAACUaA5LBEsGhpRoEnSUUpR1Lg==", "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": "[[-0.1368684 -0.0429192 0.29404974]\n [ 0.05684342 -0.07561287 0.26959425]\n [ 0.11507384 -0.12555481 0.15487893]\n [-0.07302476 0.05863418 0.01543475]]", "observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]]"}, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": 0.0, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 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, "observation_space": {":type:": "<class 'gym.spaces.dict.Dict'>", ":serialized:": "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", "spaces": "OrderedDict([('achieved_goal', Box([-10. -10. -10.], [10. 10. 10.], (3,), float32)), ('desired_goal', Box([-10. -10. -10.], [10. 10. 10.], (3,), float32)), ('observation', Box([-10. -10. -10. -10. -10. -10.], [10. 10. 10. 10. 10. 10.], (6,), float32))])", "_shape": null, "dtype": null, "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [3], "low": "[-1. -1. -1.]", "high": "[1. 1. 1.]", "bounded_below": "[ True True True]", "bounded_above": "[ True True True]", "_np_random": null}, "n_envs": 4, "system_info": {"OS": "Linux-5.15.109+-x86_64-with-glibc2.35 # 1 SMP Fri Jun 9 10:57:30 UTC 2023", "Python": "3.10.6", "Stable-Baselines3": "1.8.0", "PyTorch": "2.0.1+cu118", "GPU Enabled": "False", "Numpy": "1.22.4", "Gym": "0.21.0"}}
|
|
|
1 |
+
{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVRQAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMG011bHRpSW5wdXRBY3RvckNyaXRpY1BvbGljeZSTlC4=", "__module__": "stable_baselines3.common.policies", "__doc__": "\n MultiInputActorClass policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\n\n :param observation_space: Observation space (Tuple)\n :param action_space: Action space\n :param lr_schedule: Learning rate schedule (could be constant)\n :param net_arch: The specification of the policy and value networks.\n :param activation_fn: Activation function\n :param ortho_init: Whether to use or not orthogonal initialization\n :param use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n :param squash_output: Whether to squash the output using a tanh function,\n this allows to ensure boundaries when using gSDE.\n :param features_extractor_class: Uses the CombinedExtractor\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param share_features_extractor: If True, the features extractor is shared between the policy and value networks.\n :param normalize_images: Whether to normalize images or not,\n dividing by 255.0 (True by default)\n :param optimizer_class: The optimizer to use,\n ``th.optim.Adam`` by default\n :param optimizer_kwargs: Additional keyword arguments,\n excluding the learning rate, to pass to the optimizer\n ", "__init__": "<function MultiInputActorCriticPolicy.__init__ at 0x7d424dcbda20>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7d424dcb9780>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gAWVgQAAAAAAAAB9lCiMD29wdGltaXplcl9jbGFzc5SME3RvcmNoLm9wdGltLnJtc3Byb3CUjAdSTVNwcm9wlJOUjBBvcHRpbWl6ZXJfa3dhcmdzlH2UKIwFYWxwaGGURz/vrhR64UeujANlcHOURz7k+LWI42jxjAx3ZWlnaHRfZGVjYXmUSwB1dS4=", "optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>", "optimizer_kwargs": {"alpha": 0.99, "eps": 1e-05, "weight_decay": 0}}, "num_timesteps": 1500000, "_total_timesteps": 1500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1689858208899348459, "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": "[[ 0.42343783 -0.07881407 0.55557317]\n [ 0.42343783 -0.07881407 0.55557317]\n [ 0.42343783 -0.07881407 0.55557317]\n [ 0.42343783 -0.07881407 0.55557317]]", "desired_goal": "[[ 1.6481555 0.659849 -1.3973926 ]\n [ 1.627933 0.08543482 0.69514716]\n [ 0.03601551 1.4766675 -0.4344129 ]\n [-0.76093113 0.23088917 1.5215305 ]]", "observation": "[[ 0.42343783 -0.07881407 0.55557317 -0.00831584 -0.0031268 -0.01486709]\n [ 0.42343783 -0.07881407 0.55557317 -0.00831584 -0.0031268 -0.01486709]\n [ 0.42343783 -0.07881407 0.55557317 -0.00831584 -0.0031268 -0.01486709]\n [ 0.42343783 -0.07881407 0.55557317 -0.00831584 -0.0031268 -0.01486709]]"}, "_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": "[[ 0.05277938 0.13976139 0.02184806]\n [ 0.08416764 0.09623253 0.07806611]\n [ 0.11641828 0.01152297 0.04250661]\n [-0.03747839 -0.00449892 0.2967281 ]]", "observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]]"}, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": 0.0, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 75000, "n_steps": 5, "gamma": 0.99, "gae_lambda": 1.0, "ent_coef": 0.0, "vf_coef": 0.5, "max_grad_norm": 0.5, "normalize_advantage": false, "observation_space": {":type:": "<class 'gym.spaces.dict.Dict'>", ":serialized:": "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", "spaces": "OrderedDict([('achieved_goal', Box([-10. -10. -10.], [10. 10. 10.], (3,), float32)), ('desired_goal', Box([-10. -10. -10.], [10. 10. 10.], (3,), float32)), ('observation', Box([-10. -10. -10. -10. -10. -10.], [10. 10. 10. 10. 10. 10.], (6,), float32))])", "_shape": null, "dtype": null, "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [3], "low": "[-1. -1. -1.]", "high": "[1. 1. 1.]", "bounded_below": "[ True True True]", "bounded_above": "[ True True True]", "_np_random": null}, "n_envs": 4, "system_info": {"OS": "Linux-5.15.109+-x86_64-with-glibc2.35 # 1 SMP Fri Jun 9 10:57:30 UTC 2023", "Python": "3.10.6", "Stable-Baselines3": "1.8.0", "PyTorch": "2.0.1+cu118", "GPU Enabled": "False", "Numpy": "1.22.4", "Gym": "0.21.0"}}
|
replay.mp4
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6eb6098cc708b44aaa4d0863daea9543ec16b1b405ae00cc348db0d97d940756
|
3 |
+
size 841199
|
results.json
CHANGED
@@ -1 +1 @@
|
|
1 |
-
{"mean_reward": -
|
|
|
1 |
+
{"mean_reward": -6.378540765494108, "std_reward": 1.4329431125470296, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-07-20T14:27:06.851492"}
|
vec_normalize.pkl
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 2387
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:57b7d6790b2cda7eeb50c7ccec1b1b984ab9252b3f9ea8e8682ce8daab04a0c8
|
3 |
size 2387
|