Initial commit
Browse files- README.md +1 -1
- a2c-PandaReachDense-v2.zip +1 -1
- a2c-PandaReachDense-v2/data +8 -8
- a2c-PandaReachDense-v2/policy.optimizer.pth +1 -1
- a2c-PandaReachDense-v2/policy.pth +1 -1
- config.json +1 -1
- replay.mp4 +0 -0
- 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: -2.08 +/- 0.61
|
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 108159
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8b0bb5e49917c88d4d78dd047ab900dd39187a17b6e5ffd0598253faca39d5d6
|
3 |
size 108159
|
a2c-PandaReachDense-v2/data
CHANGED
@@ -24,7 +24,7 @@
|
|
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": "[[ 3.
|
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": "[[-0.
|
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,
|
@@ -56,7 +56,7 @@
|
|
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'>",
|
|
|
24 |
"_num_timesteps_at_start": 0,
|
25 |
"seed": null,
|
26 |
"action_noise": null,
|
27 |
+
"start_time": 1686983676033507289,
|
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": "[[ 0.38753995 -0.03119175 0.6232472 ]\n [ 0.38753995 -0.03119175 0.6232472 ]\n [ 0.38753995 -0.03119175 0.6232472 ]\n [ 0.38753995 -0.03119175 0.6232472 ]]",
|
38 |
+
"desired_goal": "[[ 1.256642 0.78069913 -1.2859818 ]\n [-0.07852671 1.2582226 1.7030963 ]\n [ 0.5179653 -1.3179312 1.2521698 ]\n [-0.8623451 1.534683 -0.8376363 ]]",
|
39 |
+
"observation": "[[ 3.8753995e-01 -3.1191753e-02 6.2324721e-01 5.5619609e-03\n 5.0033177e-06 1.4675633e-02]\n [ 3.8753995e-01 -3.1191753e-02 6.2324721e-01 5.5619609e-03\n 5.0033177e-06 1.4675633e-02]\n [ 3.8753995e-01 -3.1191753e-02 6.2324721e-01 5.5619609e-03\n 5.0033177e-06 1.4675633e-02]\n [ 3.8753995e-01 -3.1191753e-02 6.2324721e-01 5.5619609e-03\n 5.0033177e-06 1.4675633e-02]]"
|
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": "[[-0.10654452 0.00342099 0.14685258]\n [ 0.09793387 0.00847062 0.19127889]\n [ 0.03951972 0.00923497 0.09436689]\n [ 0.08938307 0.049789 0.04137257]]",
|
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////9LAHSUYkMIC7PQzmkWAMCUhpRSlIwBbJRLMowBdJRHQKezzKfWcz91fZQoaAZoCWgPQwhs66f/rPn/v5SGlFKUaBVLMmgWR0Cns5H/95yEdX2UKGgGaAloD0MI4NbdPNVBAcCUhpRSlGgVSzJoFkdAp7NX8yeqaXV9lChoBmgJaA9DCIqw4emV0gPAlIaUUpRoFUsyaBZHQKezGNKAavR1fZQoaAZoCWgPQwiUUPpCyLn4v5SGlFKUaBVLMmgWR0CntXeso2GZdX2UKGgGaAloD0MIYye8BKfeA8CUhpRSlGgVSzJoFkdAp7U8xREWqXV9lChoBmgJaA9DCMrcfCO6p/S/lIaUUpRoFUsyaBZHQKe1Aq6OHWV1fZQoaAZoCWgPQwjHuU24V+YIwJSGlFKUaBVLMmgWR0CntMOYQarFdX2UKGgGaAloD0MIhGbXvRVJBcCUhpRSlGgVSzJoFkdAp7bNCHARCnV9lChoBmgJaA9DCIyfxr35jQTAlIaUUpRoFUsyaBZHQKe2kVZ9uxd1fZQoaAZoCWgPQwgPJsXHJ0QCwJSGlFKUaBVLMmgWR0CntlaJQ+EAdX2UKGgGaAloD0MIYYkHlE0ZDsCUhpRSlGgVSzJoFkdAp7YXBWPtD3V9lChoBmgJaA9DCE2BzM6iVwrAlIaUUpRoFUsyaBZHQKe32KArhBJ1fZQoaAZoCWgPQwibWrbWFykCwJSGlFKUaBVLMmgWR0Cnt5zgl4TsdX2UKGgGaAloD0MIIEWduYfkBcCUhpRSlGgVSzJoFkdAp7diKk2xZHV9lChoBmgJaA9DCEX11sBWyQLAlIaUUpRoFUsyaBZHQKe3Iood+5R1fZQoaAZoCWgPQwgY7fFCOgwRwJSGlFKUaBVLMmgWR0CnuN5zYEntdX2UKGgGaAloD0MIRSkhWFXPCMCUhpRSlGgVSzJoFkdAp7iikwevIXV9lChoBmgJaA9DCCDRBIpYJADAlIaUUpRoFUsyaBZHQKe4Z9WIXTF1fZQoaAZoCWgPQwjEQNe+gB4CwJSGlFKUaBVLMmgWR0CnuCf5LytndX2UKGgGaAloD0MI0gFJ2LfT/r+UhpRSlGgVSzJoFkdAp7n48Md92HV9lChoBmgJaA9DCEdxjjo6bgfAlIaUUpRoFUsyaBZHQKe5vVpblil1fZQoaAZoCWgPQwhZar3faAcDwJSGlFKUaBVLMmgWR0CnuYJ/G2kSdX2UKGgGaAloD0MITRHg9C4+AMCUhpRSlGgVSzJoFkdAp7lCwhW5pnV9lChoBmgJaA9DCETecvVjk/m/lIaUUpRoFUsyaBZHQKe68dU83dd1fZQoaAZoCWgPQwgSwM3ixYICwJSGlFKUaBVLMmgWR0CnurZQP7N0dX2UKGgGaAloD0MIDw9h/DReEMCUhpRSlGgVSzJoFkdAp7p7ronrp3V9lChoBmgJaA9DCJQRF4BGSQHAlIaUUpRoFUsyaBZHQKe6O+W4Vh11fZQoaAZoCWgPQwikwW1t4VkAwJSGlFKUaBVLMmgWR0Cnu/hnjABUdX2UKGgGaAloD0MIb/JbdLL0CsCUhpRSlGgVSzJoFkdAp7u8q6OHWXV9lChoBmgJaA9DCDBMpgpGZfW/lIaUUpRoFUsyaBZHQKe7gctoSL91fZQoaAZoCWgPQwjlKavpesIKwJSGlFKUaBVLMmgWR0Cnu0H/1g6VdX2UKGgGaAloD0MIdJfEWRG1BcCUhpRSlGgVSzJoFkdAp7z4U+LWJHV9lChoBmgJaA9DCAAC1qpdkwjAlIaUUpRoFUsyaBZHQKe8vMIu5Bl1fZQoaAZoCWgPQwjXFMjsLNoEwJSGlFKUaBVLMmgWR0CnvIIZqEeydX2UKGgGaAloD0MIwR9+/ntwB8CUhpRSlGgVSzJoFkdAp7xCWu5jIHV9lChoBmgJaA9DCINMMnIWtg/AlIaUUpRoFUsyaBZHQKe9/ER8MNN1fZQoaAZoCWgPQwj76qpALQYIwJSGlFKUaBVLMmgWR0CnvcCBXjlxdX2UKGgGaAloD0MIIXTQJRz6AsCUhpRSlGgVSzJoFkdAp72F1fVqe3V9lChoBmgJaA9DCA8J3/sb9ADAlIaUUpRoFUsyaBZHQKe9Rgb6xgR1fZQoaAZoCWgPQwirJoi6D2ALwJSGlFKUaBVLMmgWR0CnvvHVoYeldX2UKGgGaAloD0MITOKsiJqoCsCUhpRSlGgVSzJoFkdAp761/SYw7HV9lChoBmgJaA9DCJeQD3o2qwbAlIaUUpRoFUsyaBZHQKe+e2XLNfR1fZQoaAZoCWgPQwhN+KV+3nQJwJSGlFKUaBVLMmgWR0CnvjvIXCTEdX2UKGgGaAloD0MILNSa5h0nAMCUhpRSlGgVSzJoFkdAp7/uH+Idl3V9lChoBmgJaA9DCEvoLomzIvm/lIaUUpRoFUsyaBZHQKe/smdiDul1fZQoaAZoCWgPQwhOmgZF80ACwJSGlFKUaBVLMmgWR0Cnv3d7F85TdX2UKGgGaAloD0MIVG6iluYmEMCUhpRSlGgVSzJoFkdAp783jKgZj3V9lChoBmgJaA9DCOTziqceKfq/lIaUUpRoFUsyaBZHQKfA37+DOC51fZQoaAZoCWgPQwiVYkfjUH/9v5SGlFKUaBVLMmgWR0CnwKPmozeodX2UKGgGaAloD0MIp1mg3SHlA8CUhpRSlGgVSzJoFkdAp8BpP420iXV9lChoBmgJaA9DCDiie9Y1mgDAlIaUUpRoFUsyaBZHQKfAKYlY2bZ1fZQoaAZoCWgPQwgnwLD8+RYKwJSGlFKUaBVLMmgWR0Cnwd+dCmdidX2UKGgGaAloD0MI1IBB0qfVCsCUhpRSlGgVSzJoFkdAp8Gj987ZF3V9lChoBmgJaA9DCKCJsOHpVfi/lIaUUpRoFUsyaBZHQKfBaSeyzHF1fZQoaAZoCWgPQwgRxk/j3jwLwJSGlFKUaBVLMmgWR0CnwSl2mpEQdX2UKGgGaAloD0MIQWSRJt6B+r+UhpRSlGgVSzJoFkdAp8LeBH09Q3V9lChoBmgJaA9DCHpQUIpWDgjAlIaUUpRoFUsyaBZHQKfCoiiZfD11fZQoaAZoCWgPQwjzABb59SMKwJSGlFKUaBVLMmgWR0CnwmeJ53TvdX2UKGgGaAloD0MID0WBPpFHBMCUhpRSlGgVSzJoFkdAp8IntBv733V9lChoBmgJaA9DCO2fpwGDpAHAlIaUUpRoFUsyaBZHQKfD2FzMibF1fZQoaAZoCWgPQwg6H54lyAj+v5SGlFKUaBVLMmgWR0Cnw5yflIVedX2UKGgGaAloD0MI9u0kIvzrBsCUhpRSlGgVSzJoFkdAp8NhzYEns3V9lChoBmgJaA9DCMReKGA7GAvAlIaUUpRoFUsyaBZHQKfDIdpZfUp1fZQoaAZoCWgPQwiYTBWMSsoBwJSGlFKUaBVLMmgWR0CnxM4lIEr5dX2UKGgGaAloD0MI3q6Xpggw+L+UhpRSlGgVSzJoFkdAp8SSZpi7TXV9lChoBmgJaA9DCBO7trdbMgvAlIaUUpRoFUsyaBZHQKfEV5cC5mR1fZQoaAZoCWgPQwhjesISD1gQwJSGlFKUaBVLMmgWR0CnxBe8wpOOdX2UKGgGaAloD0MIFVYqqKh6BsCUhpRSlGgVSzJoFkdAp8XPmaH9FXV9lChoBmgJaA9DCN/6sN6o1QrAlIaUUpRoFUsyaBZHQKfFk7Dl5nl1fZQoaAZoCWgPQwjgTEwXYlUBwJSGlFKUaBVLMmgWR0CnxVkpAlfJdX2UKGgGaAloD0MI5E1+i062CcCUhpRSlGgVSzJoFkdAp8UZXlr/KnV9lChoBmgJaA9DCCNJEK6AQgLAlIaUUpRoFUsyaBZHQKfGvxAjY7J1fZQoaAZoCWgPQwhT51HxfycCwJSGlFKUaBVLMmgWR0CnxoNRNyo5dX2UKGgGaAloD0MI6INlbOgGAcCUhpRSlGgVSzJoFkdAp8ZIfKZDzHV9lChoBmgJaA9DCC81Qj9TDwzAlIaUUpRoFUsyaBZHQKfGCKc/dIp1fZQoaAZoCWgPQwjvcaYJ228DwJSGlFKUaBVLMmgWR0Cnx7b48EFGdX2UKGgGaAloD0MIjzhkA+mi/b+UhpRSlGgVSzJoFkdAp8d7gIhQnHV9lChoBmgJaA9DCBCTcCGPIPu/lIaUUpRoFUsyaBZHQKfHQN5MURF1fZQoaAZoCWgPQwhzY3rCEm8DwJSGlFKUaBVLMmgWR0CnxwGKQ7tBdX2UKGgGaAloD0MI6Phoccaw9r+UhpRSlGgVSzJoFkdAp8ioAhje9HV9lChoBmgJaA9DCM3mcRjMXwnAlIaUUpRoFUsyaBZHQKfIbBl+Vkd1fZQoaAZoCWgPQwgTu7a3W5IDwJSGlFKUaBVLMmgWR0CnyDFolD4QdX2UKGgGaAloD0MI3L3cJ0fhBcCUhpRSlGgVSzJoFkdAp8fxemelK3V9lChoBmgJaA9DCFlrKLUX0fa/lIaUUpRoFUsyaBZHQKfJnp3X7Lt1fZQoaAZoCWgPQwi9GqA01CgMwJSGlFKUaBVLMmgWR0CnyWK20AtGdX2UKGgGaAloD0MIwYu+gjTDCcCUhpRSlGgVSzJoFkdAp8kn+jua4XV9lChoBmgJaA9DCHbgnBGlffq/lIaUUpRoFUsyaBZHQKfI6B91EE11fZQoaAZoCWgPQwi3tvC8VOz/v5SGlFKUaBVLMmgWR0CnyqQWFev7dX2UKGgGaAloD0MIuTe/YaLB97+UhpRSlGgVSzJoFkdAp8ppje9BbHV9lChoBmgJaA9DCAK5xJEH4va/lIaUUpRoFUsyaBZHQKfKL4Uvf0p1fZQoaAZoCWgPQwh1WUxsPu79v5SGlFKUaBVLMmgWR0CnyfBHkLhKdX2UKGgGaAloD0MI9DRgkPRpDMCUhpRSlGgVSzJoFkdAp8w2PxQSBnV9lChoBmgJaA9DCEZB8Pj2bvm/lIaUUpRoFUsyaBZHQKfL+vTPSlZ1fZQoaAZoCWgPQwjDgCVXsXj/v5SGlFKUaBVLMmgWR0Cny8CxFAmidX2UKGgGaAloD0MISN3OvvIABsCUhpRSlGgVSzJoFkdAp8uBha1Ti3V9lChoBmgJaA9DCFd3LLZJ5QDAlIaUUpRoFUsyaBZHQKfNzXdTHbR1fZQoaAZoCWgPQwgKTKd1G5QLwJSGlFKUaBVLMmgWR0CnzZLc9GI9dX2UKGgGaAloD0MIJCU9DK3OBsCUhpRSlGgVSzJoFkdAp81ZYs/Y8XV9lChoBmgJaA9DCEcFTraBu/+/lIaUUpRoFUsyaBZHQKfNGgvlEJB1ZS4="
|
60 |
},
|
61 |
"ep_success_buffer": {
|
62 |
":type:": "<class 'collections.deque'>",
|
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 44734
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fc7559fb2c7b6ed002e90cb201c806017dea43a3f920cb1a3b158b872a3183c1
|
3 |
size 44734
|
a2c-PandaReachDense-v2/policy.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 46014
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8fd981e5bac828359c8b1f2359f7cf001a2de5cf54d66bb6417360f7c0af3387
|
3 |
size 46014
|
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 0x7fe298709120>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7fe298702380>"}, "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": 1686977322459322721, "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": "[[ 0.36439925 -0.04882754 0.4621086 ]\n [ 0.36439925 -0.04882754 0.4621086 ]\n [ 0.36439925 -0.04882754 0.4621086 ]\n [ 0.36439925 -0.04882754 0.4621086 ]]", "desired_goal": "[[ 0.00780183 -0.91719323 1.065999 ]\n [ 1.6862514 -1.6101338 -1.0727441 ]\n [-1.6099033 0.2928196 0.69469047]\n [ 0.15028621 -0.26611298 0.6342301 ]]", "observation": "[[ 3.6439925e-01 -4.8827544e-02 4.6210861e-01 1.8151527e-02\n -8.3713811e-03 -4.8163289e-05]\n [ 3.6439925e-01 -4.8827544e-02 4.6210861e-01 1.8151527e-02\n -8.3713811e-03 -4.8163289e-05]\n [ 3.6439925e-01 -4.8827544e-02 4.6210861e-01 1.8151527e-02\n -8.3713811e-03 -4.8163289e-05]\n [ 3.6439925e-01 -4.8827544e-02 4.6210861e-01 1.8151527e-02\n -8.3713811e-03 -4.8163289e-05]]"}, "_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": "[[-0.11634555 0.09016854 0.06983174]\n [-0.03425213 -0.06294796 0.18300857]\n [-0.08714081 -0.07278287 0.21745065]\n [-0.04150729 0.11472253 0.06291753]]", "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:": "gAWVWAMAAAAAAACMD2d5bS5zcGFjZXMuZGljdJSMBERpY3SUk5QpgZR9lCiMBnNwYWNlc5SMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwOZ3ltLnNwYWNlcy5ib3iUjANCb3iUk5QpgZR9lCiMBWR0eXBllIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowGX3NoYXBllEsDhZSMA2xvd5SMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYMAAAAAAAAAAAAIMEAACDBAAAgwZRoFksDhZSMAUOUdJRSlIwEaGlnaJRoHiiWDAAAAAAAAAAAACBBAAAgQQAAIEGUaBZLA4WUaCF0lFKUjA1ib3VuZGVkX2JlbG93lGgeKJYDAAAAAAAAAAEBAZRoE4wCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksDhZRoIXSUUpSMDWJvdW5kZWRfYWJvdmWUaB4olgMAAAAAAAAAAQEBlGgtSwOFlGghdJRSlIwKX25wX3JhbmRvbZROdWKMDGRlc2lyZWRfZ29hbJRoDSmBlH2UKGgQaBZoGUsDhZRoG2geKJYMAAAAAAAAAAAAIMEAACDBAAAgwZRoFksDhZRoIXSUUpRoJGgeKJYMAAAAAAAAAAAAIEEAACBBAAAgQZRoFksDhZRoIXSUUpRoKWgeKJYDAAAAAAAAAAEBAZRoLUsDhZRoIXSUUpRoM2geKJYDAAAAAAAAAAEBAZRoLUsDhZRoIXSUUpRoOE51YowLb2JzZXJ2YXRpb26UaA0pgZR9lChoEGgWaBlLBoWUaBtoHiiWGAAAAAAAAAAAACDBAAAgwQAAIMEAACDBAAAgwQAAIMGUaBZLBoWUaCF0lFKUaCRoHiiWGAAAAAAAAAAAACBBAAAgQQAAIEEAACBBAAAgQQAAIEGUaBZLBoWUaCF0lFKUaCloHiiWBgAAAAAAAAABAQEBAQGUaC1LBoWUaCF0lFKUaDNoHiiWBgAAAAAAAAABAQEBAQGUaC1LBoWUaCF0lFKUaDhOdWJ1aBlOaBBOaDhOdWIu", "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-5.15.107+-x86_64-with-glibc2.31 # 1 SMP Sat Apr 29 09:15:28 UTC 2023", "Python": "3.10.12", "Stable-Baselines3": "1.8.0", "PyTorch": "2.0.1+cu118", "GPU Enabled": "True", "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 0x7fe298709120>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7fe298702380>"}, "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": 1686983676033507289, "learning_rate": 0.0007, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "gAWVxQIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTAvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuCQwIEAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjEwL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaB99lH2UKGgWaA2MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgXjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz9G8AaNuLrHhZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[ 0.38753995 -0.03119175 0.6232472 ]\n [ 0.38753995 -0.03119175 0.6232472 ]\n [ 0.38753995 -0.03119175 0.6232472 ]\n [ 0.38753995 -0.03119175 0.6232472 ]]", "desired_goal": "[[ 1.256642 0.78069913 -1.2859818 ]\n [-0.07852671 1.2582226 1.7030963 ]\n [ 0.5179653 -1.3179312 1.2521698 ]\n [-0.8623451 1.534683 -0.8376363 ]]", "observation": "[[ 3.8753995e-01 -3.1191753e-02 6.2324721e-01 5.5619609e-03\n 5.0033177e-06 1.4675633e-02]\n [ 3.8753995e-01 -3.1191753e-02 6.2324721e-01 5.5619609e-03\n 5.0033177e-06 1.4675633e-02]\n [ 3.8753995e-01 -3.1191753e-02 6.2324721e-01 5.5619609e-03\n 5.0033177e-06 1.4675633e-02]\n [ 3.8753995e-01 -3.1191753e-02 6.2324721e-01 5.5619609e-03\n 5.0033177e-06 1.4675633e-02]]"}, "_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": "[[-0.10654452 0.00342099 0.14685258]\n [ 0.09793387 0.00847062 0.19127889]\n [ 0.03951972 0.00923497 0.09436689]\n [ 0.08938307 0.049789 0.04137257]]", "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:": "gAWVWAMAAAAAAACMD2d5bS5zcGFjZXMuZGljdJSMBERpY3SUk5QpgZR9lCiMBnNwYWNlc5SMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwOZ3ltLnNwYWNlcy5ib3iUjANCb3iUk5QpgZR9lCiMBWR0eXBllIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowGX3NoYXBllEsDhZSMA2xvd5SMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYMAAAAAAAAAAAAIMEAACDBAAAgwZRoFksDhZSMAUOUdJRSlIwEaGlnaJRoHiiWDAAAAAAAAAAAACBBAAAgQQAAIEGUaBZLA4WUaCF0lFKUjA1ib3VuZGVkX2JlbG93lGgeKJYDAAAAAAAAAAEBAZRoE4wCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksDhZRoIXSUUpSMDWJvdW5kZWRfYWJvdmWUaB4olgMAAAAAAAAAAQEBlGgtSwOFlGghdJRSlIwKX25wX3JhbmRvbZROdWKMDGRlc2lyZWRfZ29hbJRoDSmBlH2UKGgQaBZoGUsDhZRoG2geKJYMAAAAAAAAAAAAIMEAACDBAAAgwZRoFksDhZRoIXSUUpRoJGgeKJYMAAAAAAAAAAAAIEEAACBBAAAgQZRoFksDhZRoIXSUUpRoKWgeKJYDAAAAAAAAAAEBAZRoLUsDhZRoIXSUUpRoM2geKJYDAAAAAAAAAAEBAZRoLUsDhZRoIXSUUpRoOE51YowLb2JzZXJ2YXRpb26UaA0pgZR9lChoEGgWaBlLBoWUaBtoHiiWGAAAAAAAAAAAACDBAAAgwQAAIMEAACDBAAAgwQAAIMGUaBZLBoWUaCF0lFKUaCRoHiiWGAAAAAAAAAAAACBBAAAgQQAAIEEAACBBAAAgQQAAIEGUaBZLBoWUaCF0lFKUaCloHiiWBgAAAAAAAAABAQEBAQGUaC1LBoWUaCF0lFKUaDNoHiiWBgAAAAAAAAABAQEBAQGUaC1LBoWUaCF0lFKUaDhOdWJ1aBlOaBBOaDhOdWIu", "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-5.15.107+-x86_64-with-glibc2.31 # 1 SMP Sat Apr 29 09:15:28 UTC 2023", "Python": "3.10.12", "Stable-Baselines3": "1.8.0", "PyTorch": "2.0.1+cu118", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}
|
replay.mp4
ADDED
Binary file (796 kB). View file
|
|
results.json
CHANGED
@@ -1 +1 @@
|
|
1 |
-
{"mean_reward": -
|
|
|
1 |
+
{"mean_reward": -2.0753259756369515, "std_reward": 0.6052484388728645, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-06-17T07:25:27.563577"}
|
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:c1b1f72101e3b7942f32b7707c83b7cacef80c5c3b062975a4d7770744dd8d5c
|
3 |
size 2387
|