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 +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: -0.84 +/- 0.41
|
| 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 sha256:0a0ac4230b943289fdad5d67897647a18c36862a06eca791851767be87614ca5
|
| 3 |
+
size 108155
|
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": "[[
|
| 39 |
-
"observation": "[[
|
| 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": 500000,
|
| 23 |
+
"_total_timesteps": 500000,
|
| 24 |
"_num_timesteps_at_start": 0,
|
| 25 |
"seed": null,
|
| 26 |
"action_noise": null,
|
| 27 |
+
"start_time": 1690300842801157854,
|
| 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": "[[ 0.36971456 -0.00640274 0.53424 ]\n [ 0.36971456 -0.00640274 0.53424 ]\n [ 0.36971456 -0.00640274 0.53424 ]\n [ 0.36971456 -0.00640274 0.53424 ]]",
|
| 38 |
+
"desired_goal": "[[-0.656038 0.51711696 0.1260167 ]\n [ 0.36769453 1.4297055 -1.0690823 ]\n [ 0.26395944 -1.0546045 1.6338553 ]\n [-0.93328327 -0.6387749 0.8545642 ]]",
|
| 39 |
+
"observation": "[[ 3.6971456e-01 -6.4027361e-03 5.3424001e-01 5.0545740e-04\n -2.1506420e-03 6.2548504e-03]\n [ 3.6971456e-01 -6.4027361e-03 5.3424001e-01 5.0545740e-04\n -2.1506420e-03 6.2548504e-03]\n [ 3.6971456e-01 -6.4027361e-03 5.3424001e-01 5.0545740e-04\n -2.1506420e-03 6.2548504e-03]\n [ 3.6971456e-01 -6.4027361e-03 5.3424001e-01 5.0545740e-04\n -2.1506420e-03 6.2548504e-03]]"
|
| 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": "[[ 0.07844891 0.09280539 0.16188528]\n [-0.09241141 -0.07261088 0.0054503 ]\n [ 0.05511804 0.03617517 0.11245747]\n [-0.12328135 0.12181833 0.08741125]]",
|
| 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////9LAHSUYkMIsU8AxciS27+UhpRSlIwBbJRLMowBdJRHQJcLStU4rBl1fZQoaAZoCWgPQwgXKv9aXrnVv5SGlFKUaBVLMmgWR0CXCuCmdiDvdX2UKGgGaAloD0MILLr1mh4U57+UhpRSlGgVSzJoFkdAlwo6p1ie/nV9lChoBmgJaA9DCML4adyb3+2/lIaUUpRoFUsyaBZHQJcJivxH5Jt1fZQoaAZoCWgPQwhYyFwZVBvzv5SGlFKUaBVLMmgWR0CXDZ0RODaodX2UKGgGaAloD0MICK7yBMIO8b+UhpRSlGgVSzJoFkdAlw0y/KyOaXV9lChoBmgJaA9DCHXN5JttbtO/lIaUUpRoFUsyaBZHQJcMjPdEb5x1fZQoaAZoCWgPQwgiMxe4PFbnv5SGlFKUaBVLMmgWR0CXC90nw5NodX2UKGgGaAloD0MIqTEh5pKq5b+UhpRSlGgVSzJoFkdAlw/T+BH09XV9lChoBmgJaA9DCBmqYir9hNi/lIaUUpRoFUsyaBZHQJcPahtcfNl1fZQoaAZoCWgPQwjVdaimJGvgv5SGlFKUaBVLMmgWR0CXDsQla8pTdX2UKGgGaAloD0MIjdMQVfhz97+UhpRSlGgVSzJoFkdAlw4UvCdjG3V9lChoBmgJaA9DCCpTzEHQ0ee/lIaUUpRoFUsyaBZHQJcSJdszl911fZQoaAZoCWgPQwhYrrfNVEjzv5SGlFKUaBVLMmgWR0CXEbus90RwdX2UKGgGaAloD0MIIxEawcZ167+UhpRSlGgVSzJoFkdAlxEV/tpmE3V9lChoBmgJaA9DCMtpT8k5MeS/lIaUUpRoFUsyaBZHQJcQZiRW9151fZQoaAZoCWgPQwh9W7BUF/Dtv5SGlFKUaBVLMmgWR0CXFKyOaOPvdX2UKGgGaAloD0MIthK6S+Ls9r+UhpRSlGgVSzJoFkdAlxRCbhFVk3V9lChoBmgJaA9DCHWRQln4OvK/lIaUUpRoFUsyaBZHQJcTnX2/SIB1fZQoaAZoCWgPQwjBU8iVelbyv5SGlFKUaBVLMmgWR0CXEu/4IrvtdX2UKGgGaAloD0MI6+Oh726l/b+UhpRSlGgVSzJoFkdAlxcvsZ5zHXV9lChoBmgJaA9DCDW214LeG+a/lIaUUpRoFUsyaBZHQJcWxZOi35N1fZQoaAZoCWgPQwgBaf8DrNXxv5SGlFKUaBVLMmgWR0CXFiEeQuEmdX2UKGgGaAloD0MIXByVm6il7L+UhpRSlGgVSzJoFkdAlxVxX8wYcnV9lChoBmgJaA9DCBOaJJaUu/S/lIaUUpRoFUsyaBZHQJcZiziS7oV1fZQoaAZoCWgPQwgfhIB8CZXrv5SGlFKUaBVLMmgWR0CXGSEfDDTCdX2UKGgGaAloD0MIxohEoWUd8r+UhpRSlGgVSzJoFkdAlxh7UCq6v3V9lChoBmgJaA9DCDbknxnEB+2/lIaUUpRoFUsyaBZHQJcXy4x1xKh1fZQoaAZoCWgPQwh+jo8WZ8zwv5SGlFKUaBVLMmgWR0CXG+jJMg2ZdX2UKGgGaAloD0MIFEIHXcKh4b+UhpRSlGgVSzJoFkdAlxt+nhsImnV9lChoBmgJaA9DCFHdXPxtT+u/lIaUUpRoFUsyaBZHQJca2Hi3ocJ1fZQoaAZoCWgPQwhkIToEjgT2v5SGlFKUaBVLMmgWR0CXGii8FpwkdX2UKGgGaAloD0MINzXQfM4d87+UhpRSlGgVSzJoFkdAlx4pQP7N0XV9lChoBmgJaA9DCBFSt7OvvOq/lIaUUpRoFUsyaBZHQJcdvzND+it1fZQoaAZoCWgPQwiTp6ym64ncv5SGlFKUaBVLMmgWR0CXHRk3juKGdX2UKGgGaAloD0MIDVAaahQS7L+UhpRSlGgVSzJoFkdAlxxpmh/RV3V9lChoBmgJaA9DCICbxYuFIeC/lIaUUpRoFUsyaBZHQJcgeRlpXZJ1fZQoaAZoCWgPQwjNPLmmQObwv5SGlFKUaBVLMmgWR0CXIA78vVVhdX2UKGgGaAloD0MINufgmdAk5b+UhpRSlGgVSzJoFkdAlx9pGax5cHV9lChoBmgJaA9DCJ4oCYm0TfC/lIaUUpRoFUsyaBZHQJceuUKRdQh1fZQoaAZoCWgPQwgiT5KumXzjv5SGlFKUaBVLMmgWR0CXIzgZjx0/dX2UKGgGaAloD0MIDwwgfCjR1b+UhpRSlGgVSzJoFkdAlyLO7xusLnV9lChoBmgJaA9DCOY/pN++juO/lIaUUpRoFUsyaBZHQJciKvW6K+B1fZQoaAZoCWgPQwiNJEG4Asryv5SGlFKUaBVLMmgWR0CXIX0oBq9HdX2UKGgGaAloD0MIdVWgFoMH7L+UhpRSlGgVSzJoFkdAlybqkZaV2XV9lChoBmgJaA9DCN7GZkeq79a/lIaUUpRoFUsyaBZHQJcmgkPczqN1fZQoaAZoCWgPQwi6vg8HCVHov5SGlFKUaBVLMmgWR0CXJd4Glhw3dX2UKGgGaAloD0MIR8hAnl0+4r+UhpRSlGgVSzJoFkdAlyUwA6uGK3V9lChoBmgJaA9DCMKHEi15fPW/lIaUUpRoFUsyaBZHQJcqpri2lVN1fZQoaAZoCWgPQwhAwFq1a0LXv5SGlFKUaBVLMmgWR0CXKj9Aood/dX2UKGgGaAloD0MIT1yOVyB677+UhpRSlGgVSzJoFkdAlymba24NJHV9lChoBmgJaA9DCNtugm+aPuy/lIaUUpRoFUsyaBZHQJco7Wcz68B1fZQoaAZoCWgPQwgLRbqfU5Dpv5SGlFKUaBVLMmgWR0CXLqTNt65YdX2UKGgGaAloD0MIopqSrMOR8r+UhpRSlGgVSzJoFkdAly481O0sv3V9lChoBmgJaA9DCO2CwTV3dO6/lIaUUpRoFUsyaBZHQJctmNKh+OR1fZQoaAZoCWgPQwhpOdBDbZvhv5SGlFKUaBVLMmgWR0CXLOse4kNXdX2UKGgGaAloD0MITkUqjC0E2b+UhpRSlGgVSzJoFkdAlzJaXOW0JHV9lChoBmgJaA9DCEYL0Laa9ea/lIaUUpRoFUsyaBZHQJcx8Ia99MN1fZQoaAZoCWgPQwgD6WLTSiHev5SGlFKUaBVLMmgWR0CXMUp5eJHidX2UKGgGaAloD0MIwmuXNhyW3r+UhpRSlGgVSzJoFkdAlzCalpGnXXV9lChoBmgJaA9DCFLt0/GYgeq/lIaUUpRoFUsyaBZHQJc0sdxQzk91fZQoaAZoCWgPQwg5Jov7j8zkv5SGlFKUaBVLMmgWR0CXNEeRgZ0kdX2UKGgGaAloD0MI7WMFvw0x4b+UhpRSlGgVSzJoFkdAlzOhsEaESXV9lChoBmgJaA9DCCECDqFKzdu/lIaUUpRoFUsyaBZHQJcy8baRISV1fZQoaAZoCWgPQwgyAiocQSrbv5SGlFKUaBVLMmgWR0CXN0b+Lm6odX2UKGgGaAloD0MIkZp2Mc102b+UhpRSlGgVSzJoFkdAlzbc8HObAnV9lChoBmgJaA9DCHeGqS11kOC/lIaUUpRoFUsyaBZHQJc2NwDNhVl1fZQoaAZoCWgPQwg4ZW6+Ed3ov5SGlFKUaBVLMmgWR0CXNYiw0O3EdX2UKGgGaAloD0MIhV5/Ep876L+UhpRSlGgVSzJoFkdAlzmzlcQiA3V9lChoBmgJaA9DCIWYS6q2m9S/lIaUUpRoFUsyaBZHQJc5SYXwb2l1fZQoaAZoCWgPQwijWkQUk7flv5SGlFKUaBVLMmgWR0CXOKPY4ACGdX2UKGgGaAloD0MIFceBV8ud3b+UhpRSlGgVSzJoFkdAlzf0MkQf63V9lChoBmgJaA9DCN3T1R2L7ea/lIaUUpRoFUsyaBZHQJc7/VPN3W51fZQoaAZoCWgPQwh1OSUgJuHRv5SGlFKUaBVLMmgWR0CXO5MURFqjdX2UKGgGaAloD0MIPQytTs7Q47+UhpRSlGgVSzJoFkdAlzrtQsPJ73V9lChoBmgJaA9DCKIlj6flB9+/lIaUUpRoFUsyaBZHQJc6PYRNATt1fZQoaAZoCWgPQwgU7Sqk/KTbv5SGlFKUaBVLMmgWR0CXPkx5cC5mdX2UKGgGaAloD0MIg4k/ijpz5b+UhpRSlGgVSzJoFkdAlz3ihvitJXV9lChoBmgJaA9DCE91yM1wA9O/lIaUUpRoFUsyaBZHQJc9PI6r/851fZQoaAZoCWgPQwiDiT+KOvPtv5SGlFKUaBVLMmgWR0CXPIzGgi/xdX2UKGgGaAloD0MIHjaRmQtc3r+UhpRSlGgVSzJoFkdAl0CY55qubXV9lChoBmgJaA9DCJynOuRmuNy/lIaUUpRoFUsyaBZHQJdALuKGcnV1fZQoaAZoCWgPQwi+oluv6UHcv5SGlFKUaBVLMmgWR0CXP4j0cwQEdX2UKGgGaAloD0MIWhDK+zia2L+UhpRSlGgVSzJoFkdAlz7Y/zJ6p3V9lChoBmgJaA9DCK8Hk+Ljk+y/lIaUUpRoFUsyaBZHQJdC5c2R7qp1fZQoaAZoCWgPQwjsouiBj8HXv5SGlFKUaBVLMmgWR0CXQnvBacI7dX2UKGgGaAloD0MI9RH4w89/3L+UhpRSlGgVSzJoFkdAl0HV6zE74nV9lChoBmgJaA9DCFZinpW04uG/lIaUUpRoFUsyaBZHQJdBJgE2YOV1fZQoaAZoCWgPQwjY8zXLZaPZv5SGlFKUaBVLMmgWR0CXRTJaaCtjdX2UKGgGaAloD0MIUMWNW8wP9b+UhpRSlGgVSzJoFkdAl0THk5p8GHV9lChoBmgJaA9DCN4gWivaHOG/lIaUUpRoFUsyaBZHQJdEIeRxLkF1fZQoaAZoCWgPQwjX2vtUFRrrv5SGlFKUaBVLMmgWR0CXQ3IkJKJ3dX2UKGgGaAloD0MIt0YE4+DSz7+UhpRSlGgVSzJoFkdAl0ecSoOx0XV9lChoBmgJaA9DCGeAC7JlefC/lIaUUpRoFUsyaBZHQJdHMjbBXS11fZQoaAZoCWgPQwjoaFVLOkrqv5SGlFKUaBVLMmgWR0CXRowrDqGDdX2UKGgGaAloD0MIjURoBBvX2r+UhpRSlGgVSzJoFkdAl0XcR+SbIHV9lChoBmgJaA9DCChEwCFUqeW/lIaUUpRoFUsyaBZHQJdJ/A0sOG11fZQoaAZoCWgPQwiWzodnCTLSv5SGlFKUaBVLMmgWR0CXSZIbwSamdX2UKGgGaAloD0MIdXKG4o634L+UhpRSlGgVSzJoFkdAl0jsRxtHhHV9lChoBmgJaA9DCESIK2fvjN6/lIaUUpRoFUsyaBZHQJdIPKcNH6N1ZS4="
|
| 60 |
},
|
| 61 |
"ep_success_buffer": {
|
| 62 |
":type:": "<class 'collections.deque'>",
|
| 63 |
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
|
| 64 |
},
|
| 65 |
+
"_n_updates": 25000,
|
| 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 44734
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e010dde251271719b393dd44c0c41ee767a08fc72b11224512c538e636181d1d
|
| 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 sha256:5f1d79575736a93efbc71fd65c308df9299421deceaa2cdfa00b43923c51e460
|
| 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 0x7a5879741480>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7a587974a080>"}, "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": 1690296906524176153, "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": "[[0.48301035 0.01992531 0.663772 ]\n [0.48301035 0.01992531 0.663772 ]\n [0.48301035 0.01992531 0.663772 ]\n [0.48301035 0.01992531 0.663772 ]]", "desired_goal": "[[ 0.9368643 -0.6800724 1.2149639 ]\n [ 0.15822633 -0.3503842 1.2616625 ]\n [ 1.0498486 -1.3165042 1.0865357 ]\n [-1.7124783 0.5391635 -1.644837 ]]", "observation": "[[0.48301035 0.01992531 0.663772 0.00415472 0.00465045 0.01693827]\n [0.48301035 0.01992531 0.663772 0.00415472 0.00465045 0.01693827]\n [0.48301035 0.01992531 0.663772 0.00415472 0.00465045 0.01693827]\n [0.48301035 0.01992531 0.663772 0.00415472 0.00465045 0.01693827]]"}, "_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": "[[-0.07384367 0.06570923 0.05994491]\n [-0.0254577 -0.05660518 0.23658693]\n [ 0.04210404 0.0275897 0.28675064]\n [-0.12821907 0.00485172 0.01290242]]", "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-5.15.109+-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": "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 0x7a5879741480>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7a587974a080>"}, "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": 500000, "_total_timesteps": 500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1690300842801157854, "learning_rate": 0.0007, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAAOku9PgvO0bv0wwg/Oku9PgvO0bv0wwg/Oku9PgvO0bv0wwg/Oku9PgvO0bv0wwg/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAG/Inv8dhBD+GCgE+dUK8PpcAtz+w14i/sSWHPkj9hr8sItE/p+tuv8CGI7+4xFo/lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAAA6S70+C87Ru/TDCD+sgAQ6yfEMu331zDs6S70+C87Ru/TDCD+sgAQ6yfEMu331zDs6S70+C87Ru/TDCD+sgAQ6yfEMu331zDs6S70+C87Ru/TDCD+sgAQ6yfEMu331zDuUaA5LBEsGhpRoEnSUUpR1Lg==", "achieved_goal": "[[ 0.36971456 -0.00640274 0.53424 ]\n [ 0.36971456 -0.00640274 0.53424 ]\n [ 0.36971456 -0.00640274 0.53424 ]\n [ 0.36971456 -0.00640274 0.53424 ]]", "desired_goal": "[[-0.656038 0.51711696 0.1260167 ]\n [ 0.36769453 1.4297055 -1.0690823 ]\n [ 0.26395944 -1.0546045 1.6338553 ]\n [-0.93328327 -0.6387749 0.8545642 ]]", "observation": "[[ 3.6971456e-01 -6.4027361e-03 5.3424001e-01 5.0545740e-04\n -2.1506420e-03 6.2548504e-03]\n [ 3.6971456e-01 -6.4027361e-03 5.3424001e-01 5.0545740e-04\n -2.1506420e-03 6.2548504e-03]\n [ 3.6971456e-01 -6.4027361e-03 5.3424001e-01 5.0545740e-04\n -2.1506420e-03 6.2548504e-03]\n [ 3.6971456e-01 -6.4027361e-03 5.3424001e-01 5.0545740e-04\n -2.1506420e-03 6.2548504e-03]]"}, "_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": "[[ 0.07844891 0.09280539 0.16188528]\n [-0.09241141 -0.07261088 0.0054503 ]\n [ 0.05511804 0.03617517 0.11245747]\n [-0.12328135 0.12181833 0.08741125]]", "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": 25000, "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": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}
|
replay.mp4
CHANGED
|
Binary files a/replay.mp4 and b/replay.mp4 differ
|
|
|
results.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"mean_reward": -
|
|
|
|
| 1 |
+
{"mean_reward": -0.8415405567735433, "std_reward": 0.40711278475731344, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-07-25T16:25:36.314318"}
|
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 sha256:61f1cf72a09ab6e7a9ece915bd51a86dce297c859600aebd6b1ec5545d4e7249
|
| 3 |
size 2387
|