YoriV commited on
Commit
a051bbb
1 Parent(s): 323254b

Initial commit

Browse files
README.md CHANGED
@@ -16,7 +16,7 @@ model-index:
16
  type: PandaReachDense-v2
17
  metrics:
18
  - type: mean_reward
19
- value: -3.36 +/- 1.05
20
  name: mean_reward
21
  verified: false
22
  ---
 
16
  type: PandaReachDense-v2
17
  metrics:
18
  - type: mean_reward
19
+ value: -1.15 +/- 0.31
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 sha256:7b8e97248d656eea018e3b1ff6cd9082229d868c388669ff65670a4740bd8564
3
- size 108011
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:29adcd02af5c4b712a59f9198eb6933f71da2348f29e6bfee4dc5f96aee13629
3
+ size 108059
a2c-PandaReachDense-v2/data CHANGED
@@ -46,7 +46,7 @@
46
  "_num_timesteps_at_start": 0,
47
  "seed": null,
48
  "action_noise": null,
49
- "start_time": 1676471116096030410,
50
  "learning_rate": 0.0007,
51
  "tensorboard_log": null,
52
  "lr_schedule": {
@@ -55,10 +55,10 @@
55
  },
56
  "_last_obs": {
57
  ":type:": "<class 'collections.OrderedDict'>",
58
- ":serialized:": "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",
59
- "achieved_goal": "[[0.42167184 0.01339583 0.5867217 ]\n [0.42167184 0.01339583 0.5867217 ]\n [0.42167184 0.01339583 0.5867217 ]\n [0.42167184 0.01339583 0.5867217 ]]",
60
- "desired_goal": "[[ 1.7395017 1.3085183 0.01802156]\n [ 1.2437001 -0.43567458 0.56453305]\n [ 0.4517564 1.4814771 -1.7249931 ]\n [ 0.4856105 0.4135412 -0.13063294]]",
61
- "observation": "[[ 0.42167184 0.01339583 0.5867217 0.01028911 -0.0025072 0.00467074]\n [ 0.42167184 0.01339583 0.5867217 0.01028911 -0.0025072 0.00467074]\n [ 0.42167184 0.01339583 0.5867217 0.01028911 -0.0025072 0.00467074]\n [ 0.42167184 0.01339583 0.5867217 0.01028911 -0.0025072 0.00467074]]"
62
  },
63
  "_last_episode_starts": {
64
  ":type:": "<class 'numpy.ndarray'>",
@@ -66,9 +66,9 @@
66
  },
67
  "_last_original_obs": {
68
  ":type:": "<class 'collections.OrderedDict'>",
69
- ":serialized:": "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",
70
  "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]]",
71
- "desired_goal": "[[ 0.05621714 0.01094001 0.21260676]\n [-0.10364146 -0.06384447 0.29596746]\n [-0.04887074 -0.12934737 0.2925941 ]\n [ 0.12593985 -0.05719031 0.11832669]]",
72
  "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]]"
73
  },
74
  "_episode_num": 0,
@@ -77,7 +77,7 @@
77
  "_current_progress_remaining": 0.0,
78
  "ep_info_buffer": {
79
  ":type:": "<class 'collections.deque'>",
80
- ":serialized:": "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"
81
  },
82
  "ep_success_buffer": {
83
  ":type:": "<class 'collections.deque'>",
 
46
  "_num_timesteps_at_start": 0,
47
  "seed": null,
48
  "action_noise": null,
49
+ "start_time": 1676474957967415309,
50
  "learning_rate": 0.0007,
51
  "tensorboard_log": null,
52
  "lr_schedule": {
 
55
  },
56
  "_last_obs": {
57
  ":type:": "<class 'collections.OrderedDict'>",
58
+ ":serialized:": "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",
59
+ "achieved_goal": "[[ 0.39124006 -0.02104621 0.57272947]\n [ 0.39124006 -0.02104621 0.57272947]\n [ 0.39124006 -0.02104621 0.57272947]\n [ 0.39124006 -0.02104621 0.57272947]]",
60
+ "desired_goal": "[[ 1.5427806 1.6432897 1.4011472 ]\n [ 0.742233 -0.5453772 -0.6865068 ]\n [-0.3498627 0.7000623 -0.4920769 ]\n [-1.3281953 1.1705649 0.50208527]]",
61
+ "observation": "[[ 0.39124006 -0.02104621 0.57272947 0.0054145 -0.0046967 0.00984827]\n [ 0.39124006 -0.02104621 0.57272947 0.0054145 -0.0046967 0.00984827]\n [ 0.39124006 -0.02104621 0.57272947 0.0054145 -0.0046967 0.00984827]\n [ 0.39124006 -0.02104621 0.57272947 0.0054145 -0.0046967 0.00984827]]"
62
  },
63
  "_last_episode_starts": {
64
  ":type:": "<class 'numpy.ndarray'>",
 
66
  },
67
  "_last_original_obs": {
68
  ":type:": "<class 'collections.OrderedDict'>",
69
+ ":serialized:": "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",
70
  "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]]",
71
+ "desired_goal": "[[ 1.0319217e-02 -3.1917021e-02 2.2238225e-01]\n [ 1.3556628e-01 1.2054770e-01 2.6864034e-01]\n [-5.1613475e-05 -8.3827458e-02 1.3488892e-01]\n [-1.3159917e-01 2.3803703e-02 1.4470369e-01]]",
72
  "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]]"
73
  },
74
  "_episode_num": 0,
 
77
  "_current_progress_remaining": 0.0,
78
  "ep_info_buffer": {
79
  ":type:": "<class 'collections.deque'>",
80
+ ":serialized:": "gAWVHRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMI0nDK3Hyj7b+UhpRSlIwBbJRLMowBdJRHQKgT73ueBhB1fZQoaAZoCWgPQwiil1EstzTyv5SGlFKUaBVLMmgWR0CoE5vGACnxdX2UKGgGaAloD0MINxYUBmUa5r+UhpRSlGgVSzJoFkdAqBNFZq20A3V9lChoBmgJaA9DCMHIy5pYYOe/lIaUUpRoFUsyaBZHQKgS8fvnbIt1fZQoaAZoCWgPQwj8icqGNZXrv5SGlFKUaBVLMmgWR0CoFQ0EgW8AdX2UKGgGaAloD0MILNZwkXu66r+UhpRSlGgVSzJoFkdAqBS5QtSQ5nV9lChoBmgJaA9DCDscXaW7q/q/lIaUUpRoFUsyaBZHQKgUYvnKW9l1fZQoaAZoCWgPQwgsuvWaHpTlv5SGlFKUaBVLMmgWR0CoFA9uP3i8dX2UKGgGaAloD0MIcRx4tdzZ9L+UhpRSlGgVSzJoFkdAqBYdix3V1HV9lChoBmgJaA9DCCkGSDSBove/lIaUUpRoFUsyaBZHQKgVyZgogFJ1fZQoaAZoCWgPQwhzZyYYzjXbv5SGlFKUaBVLMmgWR0CoFXMt03fidX2UKGgGaAloD0MI8N5RY0JM57+UhpRSlGgVSzJoFkdAqBUfqxC6YnV9lChoBmgJaA9DCFUvv9NkRui/lIaUUpRoFUsyaBZHQKgXLvze41B1fZQoaAZoCWgPQwjdmQmGcw3qv5SGlFKUaBVLMmgWR0CoFtsQNCqqdX2UKGgGaAloD0MIBwjm6PG78b+UhpRSlGgVSzJoFkdAqBaEhzNliHV9lChoBmgJaA9DCHycacL2k/W/lIaUUpRoFUsyaBZHQKgWMOI68xt1fZQoaAZoCWgPQwgqq+l6omv0v5SGlFKUaBVLMmgWR0CoGCoh6jWTdX2UKGgGaAloD0MITMXGvI446r+UhpRSlGgVSzJoFkdAqBfV9+gDinV9lChoBmgJaA9DCGms/Z3tkfe/lIaUUpRoFUsyaBZHQKgXf0/W1+l1fZQoaAZoCWgPQwgEj2/vGvT2v5SGlFKUaBVLMmgWR0CoFytpmEoOdX2UKGgGaAloD0MIKhkAqrgx97+UhpRSlGgVSzJoFkdAqBk+FBY3enV9lChoBmgJaA9DCJpcjIF1XPC/lIaUUpRoFUsyaBZHQKgY6e/YapB1fZQoaAZoCWgPQwhse7slOWDwv5SGlFKUaBVLMmgWR0CoGJON5t3wdX2UKGgGaAloD0MIskeoGVJF97+UhpRSlGgVSzJoFkdAqBg/9m6GxnV9lChoBmgJaA9DCOM2GsBbIPe/lIaUUpRoFUsyaBZHQKgagP0Zm7J1fZQoaAZoCWgPQwhevYqMDgjyv5SGlFKUaBVLMmgWR0CoGi0KArhBdX2UKGgGaAloD0MItYe9UMD27r+UhpRSlGgVSzJoFkdAqBnXaakRBnV9lChoBmgJaA9DCGoUkszqHfW/lIaUUpRoFUsyaBZHQKgZg9s7+1l1fZQoaAZoCWgPQwidf7vs1x3xv5SGlFKUaBVLMmgWR0CoG5diMHbAdX2UKGgGaAloD0MIkIR9O4lI9r+UhpRSlGgVSzJoFkdAqBtDiVB2OnV9lChoBmgJaA9DCFftmpDWmOi/lIaUUpRoFUsyaBZHQKga7REWqLl1fZQoaAZoCWgPQwhtVn2utmLhv5SGlFKUaBVLMmgWR0CoGpl7D2rXdX2UKGgGaAloD0MINj6T/fM04r+UhpRSlGgVSzJoFkdAqBzHWH1vl3V9lChoBmgJaA9DCApJZvUOt/C/lIaUUpRoFUsyaBZHQKgcdINEw351fZQoaAZoCWgPQwj1L0llirnsv5SGlFKUaBVLMmgWR0CoHB7w8W9EdX2UKGgGaAloD0MI9WiqJ/OP3b+UhpRSlGgVSzJoFkdAqBvMQumJnHV9lChoBmgJaA9DCC18fa1Ljdy/lIaUUpRoFUsyaBZHQKgejV3EAHV1fZQoaAZoCWgPQwgiiV5Gsdzpv5SGlFKUaBVLMmgWR0CoHjpbUwztdX2UKGgGaAloD0MIUn+9woL75b+UhpRSlGgVSzJoFkdAqB3krbxmTXV9lChoBmgJaA9DCIv6JHfYROu/lIaUUpRoFUsyaBZHQKgdkf9xZMd1fZQoaAZoCWgPQwin6Egu/yHcv5SGlFKUaBVLMmgWR0CoIHFY+0PZdX2UKGgGaAloD0MIGAgCZOjY5r+UhpRSlGgVSzJoFkdAqCAet6ol2XV9lChoBmgJaA9DCD6zJEBNLeq/lIaUUpRoFUsyaBZHQKgfyVGCqZN1fZQoaAZoCWgPQwi0ccRafIrov5SGlFKUaBVLMmgWR0CoH3eCbtqpdX2UKGgGaAloD0MIyCdk523s87+UhpRSlGgVSzJoFkdAqCJvvx6OYXV9lChoBmgJaA9DCL9DUaBP5NW/lIaUUpRoFUsyaBZHQKgiHRCQcPx1fZQoaAZoCWgPQwjZeoZwzLLrv5SGlFKUaBVLMmgWR0CoIceP7vXtdX2UKGgGaAloD0MIRgckYd/O4b+UhpRSlGgVSzJoFkdAqCF07EHdGnV9lChoBmgJaA9DCK1M+KV+nva/lIaUUpRoFUsyaBZHQKgkWhpQDV91fZQoaAZoCWgPQwihv9AjRo/0v5SGlFKUaBVLMmgWR0CoJAcrI5o5dX2UKGgGaAloD0MIw/UoXI/C5r+UhpRSlGgVSzJoFkdAqCOx6+nIhnV9lChoBmgJaA9DCM/1fThIiO6/lIaUUpRoFUsyaBZHQKgjX0fYBeZ1fZQoaAZoCWgPQwiK48Cr5c7rv5SGlFKUaBVLMmgWR0CoJkL5ZbIMdX2UKGgGaAloD0MIeEKvP4lP5L+UhpRSlGgVSzJoFkdAqCXwHNX5nHV9lChoBmgJaA9DCD1IT5FDROi/lIaUUpRoFUsyaBZHQKglmxpL26F1fZQoaAZoCWgPQwgeGED4UKLav5SGlFKUaBVLMmgWR0CoJUhzvJA/dX2UKGgGaAloD0MInG1uTE8Y87+UhpRSlGgVSzJoFkdAqCfOB+Wnj3V9lChoBmgJaA9DCJ+sGK4OgNm/lIaUUpRoFUsyaBZHQKgnejjaPCF1fZQoaAZoCWgPQwhxWYXNABfmv5SGlFKUaBVLMmgWR0CoJyPQv6CUdX2UKGgGaAloD0MIZhGKraBp5L+UhpRSlGgVSzJoFkdAqCbQRdyDI3V9lChoBmgJaA9DCMrBbAIMy/C/lIaUUpRoFUsyaBZHQKgo5LDAJsx1fZQoaAZoCWgPQwgsgCkDBzTuv5SGlFKUaBVLMmgWR0CoKJC3ocJddX2UKGgGaAloD0MIWi+GcqJd2L+UhpRSlGgVSzJoFkdAqCg6Tnq3VnV9lChoBmgJaA9DCLwH6L6c2fC/lIaUUpRoFUsyaBZHQKgn5q2SdOJ1fZQoaAZoCWgPQwhDVUyln3D3v5SGlFKUaBVLMmgWR0CoKe1rZamodX2UKGgGaAloD0MIdlPKayX077+UhpRSlGgVSzJoFkdAqCmZVp9JBnV9lChoBmgJaA9DCF35LM+DO+S/lIaUUpRoFUsyaBZHQKgpQuZkTYd1fZQoaAZoCWgPQwhn8s02N6bsv5SGlFKUaBVLMmgWR0CoKO9P+GXYdX2UKGgGaAloD0MIJSGRtvHn/7+UhpRSlGgVSzJoFkdAqCr6YgJTl3V9lChoBmgJaA9DCFGHFW75CPu/lIaUUpRoFUsyaBZHQKgqpnDiwSt1fZQoaAZoCWgPQwja4hqfyf7nv5SGlFKUaBVLMmgWR0CoKk/vnbItdX2UKGgGaAloD0MIuvdwyXGn8L+UhpRSlGgVSzJoFkdAqCn8tGus93V9lChoBmgJaA9DCJuPa0PFOO2/lIaUUpRoFUsyaBZHQKgsDbBXS0B1fZQoaAZoCWgPQwhE96xrtBzyv5SGlFKUaBVLMmgWR0CoK7m3OObRdX2UKGgGaAloD0MI0etP4nMn7b+UhpRSlGgVSzJoFkdAqCtjP6be/HV9lChoBmgJaA9DCMbgYdo3d/i/lIaUUpRoFUsyaBZHQKgrD2V3Ux51fZQoaAZoCWgPQwj2m4npQqztv5SGlFKUaBVLMmgWR0CoLSCRwIdEdX2UKGgGaAloD0MIi8HDtG+u8r+UhpRSlGgVSzJoFkdAqCzMkMTewnV9lChoBmgJaA9DCKtZZ3xf3O6/lIaUUpRoFUsyaBZHQKgsdjjrAxl1fZQoaAZoCWgPQwif508b1envv5SGlFKUaBVLMmgWR0CoLCK6WgOCdX2UKGgGaAloD0MIgzC3e7kP+b+UhpRSlGgVSzJoFkdAqC407jkuH3V9lChoBmgJaA9DCEG4Agr19PG/lIaUUpRoFUsyaBZHQKgt4RzRx951fZQoaAZoCWgPQwhvuI/cmvT6v5SGlFKUaBVLMmgWR0CoLYp4SpR5dX2UKGgGaAloD0MIW7BUF/Ay9b+UhpRSlGgVSzJoFkdAqC02yZ8a43V9lChoBmgJaA9DCN49QPflzOC/lIaUUpRoFUsyaBZHQKgvRhScbzd1fZQoaAZoCWgPQwgB323eOKn0v5SGlFKUaBVLMmgWR0CoLvI91U2ldX2UKGgGaAloD0MI+yKhLedS67+UhpRSlGgVSzJoFkdAqC6b1oQFtHV9lChoBmgJaA9DCCIAOPbsef2/lIaUUpRoFUsyaBZHQKguSEnLJS11fZQoaAZoCWgPQwgKgPEMGvrpv5SGlFKUaBVLMmgWR0CoMGUEovzwdX2UKGgGaAloD0MIWVLuPsdH9L+UhpRSlGgVSzJoFkdAqDAROJtSAHV9lChoBmgJaA9DCLvVc9L7xgHAlIaUUpRoFUsyaBZHQKgvusCDEm91fZQoaAZoCWgPQwgj2/l+avz3v5SGlFKUaBVLMmgWR0CoL2cjRlYmdX2UKGgGaAloD0MINWH7yRgf47+UhpRSlGgVSzJoFkdAqDF5mEoOQXV9lChoBmgJaA9DCJ1IMNXMWva/lIaUUpRoFUsyaBZHQKgxJb5/LDB1fZQoaAZoCWgPQwjJIeLmVLL1v5SGlFKUaBVLMmgWR0CoMM8XvYvndX2UKGgGaAloD0MI3uf4aHGG+r+UhpRSlGgVSzJoFkdAqDB7T2FnI3V9lChoBmgJaA9DCGOARBMoYuS/lIaUUpRoFUsyaBZHQKgyun3ta6l1fZQoaAZoCWgPQwjJWG3+XzXzv5SGlFKUaBVLMmgWR0CoMmh/y5I6dX2UKGgGaAloD0MIQUerWtJR6b+UhpRSlGgVSzJoFkdAqDISMYMvy3V9lChoBmgJaA9DCKadmssNBva/lIaUUpRoFUsyaBZHQKgxvooNNJx1ZS4="
81
  },
82
  "ep_success_buffer": {
83
  ":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 sha256:66fdb86c93b0a6a41c4e183653ea7f707b634a1786f2afbfbf4ae620cdd7899a
3
  size 44734
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:44a81d5250d67bdcb8dc2ec16b9893cf67228a0a7da070211c1a0b3b84ddc1c0
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:be129a6a613f68e193b3927362cac1021431055f57864d97ff3fd1bc74a1e735
3
  size 46014
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8b649ece968c0bd6a5de3d5c82abcb1bdc472bb7857cf39c9b0f13fc0e26aee3
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 0x7fd0a1b765e0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fd0a1b6fa80>"}, "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": 1000000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1676471116096030410, "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": "[[0.42167184 0.01339583 0.5867217 ]\n [0.42167184 0.01339583 0.5867217 ]\n [0.42167184 0.01339583 0.5867217 ]\n [0.42167184 0.01339583 0.5867217 ]]", "desired_goal": "[[ 1.7395017 1.3085183 0.01802156]\n [ 1.2437001 -0.43567458 0.56453305]\n [ 0.4517564 1.4814771 -1.7249931 ]\n [ 0.4856105 0.4135412 -0.13063294]]", "observation": "[[ 0.42167184 0.01339583 0.5867217 0.01028911 -0.0025072 0.00467074]\n [ 0.42167184 0.01339583 0.5867217 0.01028911 -0.0025072 0.00467074]\n [ 0.42167184 0.01339583 0.5867217 0.01028911 -0.0025072 0.00467074]\n [ 0.42167184 0.01339583 0.5867217 0.01028911 -0.0025072 0.00467074]]"}, "_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": "[[ 0.05621714 0.01094001 0.21260676]\n [-0.10364146 -0.06384447 0.29596746]\n [-0.04887074 -0.12934737 0.2925941 ]\n [ 0.12593985 -0.05719031 0.11832669]]", "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////9LAHSUYkMIr7Mh/8xACsCUhpRSlIwBbJRLMowBdJRHQKfaYVSn+AF1fZQoaAZoCWgPQwjulXmrrkP5v5SGlFKUaBVLMmgWR0Cn2hnKOktVdX2UKGgGaAloD0MINbVsrS+yDMCUhpRSlGgVSzJoFkdAp9ndcpsoD3V9lChoBmgJaA9DCBdhinJp/ATAlIaUUpRoFUsyaBZHQKfZoD+zdDZ1fZQoaAZoCWgPQwg/5C1XP3b9v5SGlFKUaBVLMmgWR0Cn22oYWLxadX2UKGgGaAloD0MIe0563/g6B8CUhpRSlGgVSzJoFkdAp9shvm5lOHV9lChoBmgJaA9DCNNocjEGVgTAlIaUUpRoFUsyaBZHQKfa5Wp6yB11fZQoaAZoCWgPQwhJgJpatrYQwJSGlFKUaBVLMmgWR0Cn2qhH09QodX2UKGgGaAloD0MI+HE0R1beEcCUhpRSlGgVSzJoFkdAp9yn7Hhjv3V9lChoBmgJaA9DCCI5mbhVUAzAlIaUUpRoFUsyaBZHQKfcYFnIyTJ1fZQoaAZoCWgPQwgrL/mf/P0JwJSGlFKUaBVLMmgWR0Cn3CRmbsnidX2UKGgGaAloD0MIgZauYBtRAcCUhpRSlGgVSzJoFkdAp9voRoRIz3V9lChoBmgJaA9DCL2o3a8CHADAlIaUUpRoFUsyaBZHQKfeOIu5BkZ1fZQoaAZoCWgPQwjOb5hokCINwJSGlFKUaBVLMmgWR0Cn3fBkRSP2dX2UKGgGaAloD0MIPxnjw+wFAcCUhpRSlGgVSzJoFkdAp921GkN4JXV9lChoBmgJaA9DCOSghJm2LxHAlIaUUpRoFUsyaBZHQKfdeGqxTsJ1fZQoaAZoCWgPQwiRD3o2q54HwJSGlFKUaBVLMmgWR0Cn37n4XXRPdX2UKGgGaAloD0MItMh2vp8KF8CUhpRSlGgVSzJoFkdAp99xtix3V3V9lChoBmgJaA9DCNGxg0pcpwHAlIaUUpRoFUsyaBZHQKffNgl4TsZ1fZQoaAZoCWgPQwgJ+aBns6r9v5SGlFKUaBVLMmgWR0Cn3vlXaJyidX2UKGgGaAloD0MI8656wDzkBsCUhpRSlGgVSzJoFkdAp+FEw1zhgnV9lChoBmgJaA9DCKOx9ne2pwbAlIaUUpRoFUsyaBZHQKfg/LdN34d1fZQoaAZoCWgPQwgurYbEPVYFwJSGlFKUaBVLMmgWR0Cn4MEIX0oSdX2UKGgGaAloD0MIFQDjGTSkEMCUhpRSlGgVSzJoFkdAp+CEgGKQ73V9lChoBmgJaA9DCKMjufyHFAPAlIaUUpRoFUsyaBZHQKfjJocrAgx1fZQoaAZoCWgPQwgly0kofWH4v5SGlFKUaBVLMmgWR0Cn4t7z9S/CdX2UKGgGaAloD0MIVkRN9Plo+7+UhpRSlGgVSzJoFkdAp+KjUG3WnXV9lChoBmgJaA9DCNS5opQQDATAlIaUUpRoFUsyaBZHQKfiZ2vjfel1fZQoaAZoCWgPQwhoQSjv4+gSwJSGlFKUaBVLMmgWR0Cn5NhVdX1bdX2UKGgGaAloD0MIrJDyk2r/BMCUhpRSlGgVSzJoFkdAp+SRD1Gsm3V9lChoBmgJaA9DCMrErYIYCALAlIaUUpRoFUsyaBZHQKfkVdDYywh1fZQoaAZoCWgPQwggskgT74AAwJSGlFKUaBVLMmgWR0Cn5BnmJWNndX2UKGgGaAloD0MIIvq19dNfA8CUhpRSlGgVSzJoFkdAp+aae/YapHV9lChoBmgJaA9DCF/rUiP08/q/lIaUUpRoFUsyaBZHQKfmU2Yv38J1fZQoaAZoCWgPQwj3rkFfensGwJSGlFKUaBVLMmgWR0Cn5hh4D9wWdX2UKGgGaAloD0MIkDF3LSE/A8CUhpRSlGgVSzJoFkdAp+Xc7CBPK3V9lChoBmgJaA9DCJXW3xKA/wzAlIaUUpRoFUsyaBZHQKfntswco6V1fZQoaAZoCWgPQwgOSphp+9cCwJSGlFKUaBVLMmgWR0Cn525ksjFAdX2UKGgGaAloD0MIjQ5Iwr5dBsCUhpRSlGgVSzJoFkdAp+cyPluFYnV9lChoBmgJaA9DCARws3ixMAjAlIaUUpRoFUsyaBZHQKfm9YU34sV1fZQoaAZoCWgPQwirWWd8XxwLwJSGlFKUaBVLMmgWR0Cn6LxB3RoidX2UKGgGaAloD0MIVvSHZp4cAMCUhpRSlGgVSzJoFkdAp+hznDBMz3V9lChoBmgJaA9DCJULlX8tL/+/lIaUUpRoFUsyaBZHQKfoN2qT8pF1fZQoaAZoCWgPQwiAR1Sobu4DwJSGlFKUaBVLMmgWR0Cn5/q5TZQIdX2UKGgGaAloD0MI8L4qFyo//r+UhpRSlGgVSzJoFkdAp+mu+ueSS3V9lChoBmgJaA9DCOp7DcFxuQbAlIaUUpRoFUsyaBZHQKfpZlmvnr91fZQoaAZoCWgPQwg7qS9LO/UHwJSGlFKUaBVLMmgWR0Cn6Sne7+UAdX2UKGgGaAloD0MIaLPqc7V1A8CUhpRSlGgVSzJoFkdAp+jtAC4jKXV9lChoBmgJaA9DCO+rcqHyrw3AlIaUUpRoFUsyaBZHQKfqrZnL7oB1fZQoaAZoCWgPQwgaNPRPcLH5v5SGlFKUaBVLMmgWR0Cn6mV6E8JVdX2UKGgGaAloD0MIE57Q60+CAMCUhpRSlGgVSzJoFkdAp+opN9H+ZXV9lChoBmgJaA9DCHZxGw3g7QHAlIaUUpRoFUsyaBZHQKfp7AOavzR1fZQoaAZoCWgPQwjFHtrHCv4BwJSGlFKUaBVLMmgWR0Cn66hib2DhdX2UKGgGaAloD0MImbhVEAMdAcCUhpRSlGgVSzJoFkdAp+tf2oNutXV9lChoBmgJaA9DCEW5NH7htQTAlIaUUpRoFUsyaBZHQKfrI1G9YfZ1fZQoaAZoCWgPQwjYuP5dnxkCwJSGlFKUaBVLMmgWR0Cn6uZeAuqWdX2UKGgGaAloD0MIdcjNcANeAMCUhpRSlGgVSzJoFkdAp+yq1y/9HnV9lChoBmgJaA9DCNOFWP0RRgHAlIaUUpRoFUsyaBZHQKfsYlrM1TB1fZQoaAZoCWgPQwi3CIz1DQz7v5SGlFKUaBVLMmgWR0Cn7CXvQWvbdX2UKGgGaAloD0MIwFsgQfHTFcCUhpRSlGgVSzJoFkdAp+vo6nzg/HV9lChoBmgJaA9DCD2ARX790Pq/lIaUUpRoFUsyaBZHQKftqswtapx1fZQoaAZoCWgPQwgZHCWvzvEHwJSGlFKUaBVLMmgWR0Cn7WJFspG4dX2UKGgGaAloD0MIzY+/tKgvA8CUhpRSlGgVSzJoFkdAp+0l+b3GoHV9lChoBmgJaA9DCOmZXmIsU/y/lIaUUpRoFUsyaBZHQKfs6UL2HtZ1fZQoaAZoCWgPQwiUpGsm36wDwJSGlFKUaBVLMmgWR0Cn7q2E0zj4dX2UKGgGaAloD0MI9Wc/UkRGDsCUhpRSlGgVSzJoFkdAp+5k8eS0SnV9lChoBmgJaA9DCLmOccXFMQ3AlIaUUpRoFUsyaBZHQKfuKHck+ot1fZQoaAZoCWgPQwioVfSHZl4OwJSGlFKUaBVLMmgWR0Cn7etWuHN5dX2UKGgGaAloD0MInzpWKT1T/L+UhpRSlGgVSzJoFkdAp++vAwfyPXV9lChoBmgJaA9DCBQktrsHyAPAlIaUUpRoFUsyaBZHQKfvZknTiKl1fZQoaAZoCWgPQwgn+Kbps0P9v5SGlFKUaBVLMmgWR0Cn7ynvUjLTdX2UKGgGaAloD0MIkPeqlQmfAcCUhpRSlGgVSzJoFkdAp+7tUsFt9HV9lChoBmgJaA9DCFqbxvZaEP+/lIaUUpRoFUsyaBZHQKfwniMHbAV1fZQoaAZoCWgPQwg2OuenOA4WwJSGlFKUaBVLMmgWR0Cn8FW0Re1KdX2UKGgGaAloD0MIT1d3LLYJA8CUhpRSlGgVSzJoFkdAp/AZNyo4uXV9lChoBmgJaA9DCKgbKPBOfgTAlIaUUpRoFUsyaBZHQKfv3A44p+d1fZQoaAZoCWgPQwiU2/Y96u/9v5SGlFKUaBVLMmgWR0Cn8ZWVVxS6dX2UKGgGaAloD0MIach4lErYCMCUhpRSlGgVSzJoFkdAp/FNF4LThHV9lChoBmgJaA9DCPF/R1Sobv+/lIaUUpRoFUsyaBZHQKfxEJDVpbl1fZQoaAZoCWgPQwjTbB6HwfwAwJSGlFKUaBVLMmgWR0Cn8NOymhugdX2UKGgGaAloD0MIUWfuIeG7B8CUhpRSlGgVSzJoFkdAp/KPEVFhHHV9lChoBmgJaA9DCL7Ye/FFWwfAlIaUUpRoFUsyaBZHQKfyRra/RE51fZQoaAZoCWgPQwhATMKFPAIEwJSGlFKUaBVLMmgWR0Cn8golD4QCdX2UKGgGaAloD0MI2Lyqs1oAA8CUhpRSlGgVSzJoFkdAp/HNLzwtrnV9lChoBmgJaA9DCHHl7J3RlgnAlIaUUpRoFUsyaBZHQKfzfqGlANZ1fZQoaAZoCWgPQwjNO07RkVwMwJSGlFKUaBVLMmgWR0Cn8zX71qWUdX2UKGgGaAloD0MIDFpIwOgSAsCUhpRSlGgVSzJoFkdAp/L5bdJrcnV9lChoBmgJaA9DCAjlfRzNEQrAlIaUUpRoFUsyaBZHQKfyvGDL8rJ1fZQoaAZoCWgPQwgFoidlUiMHwJSGlFKUaBVLMmgWR0Cn9HA/C66KdX2UKGgGaAloD0MIZwsIrYfvCsCUhpRSlGgVSzJoFkdAp/QnqcEvCnV9lChoBmgJaA9DCBjS4SGMHwvAlIaUUpRoFUsyaBZHQKfz6zXSSeR1fZQoaAZoCWgPQwirI0c6A0MEwJSGlFKUaBVLMmgWR0Cn866mXPZ7dX2UKGgGaAloD0MIKcsQx7o4A8CUhpRSlGgVSzJoFkdAp/VbkU9IPXV9lChoBmgJaA9DCKm+84sS1APAlIaUUpRoFUsyaBZHQKf1EtqYZ2p1fZQoaAZoCWgPQwiTxJJy93n+v5SGlFKUaBVLMmgWR0Cn9NZOrQw9dX2UKGgGaAloD0MILhwIyQJGEsCUhpRSlGgVSzJoFkdAp/SZd4Vym3V9lChoBmgJaA9DCGthFto57QrAlIaUUpRoFUsyaBZHQKf2VQSi/PB1fZQoaAZoCWgPQwhTB3k9mDQLwJSGlFKUaBVLMmgWR0Cn9gw5vLowdX2UKGgGaAloD0MI+7DeqBWmAsCUhpRSlGgVSzJoFkdAp/XPozN2T3V9lChoBmgJaA9DCAnAP6VKFALAlIaUUpRoFUsyaBZHQKf1kmaYu011ZS4="}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 50000, "n_steps": 5, "gamma": 0.99, "gae_lambda": 1.0, "ent_coef": 0.0, "vf_coef": 0.5, "max_grad_norm": 0.5, "normalize_advantage": false, "system_info": {"OS": "Linux-5.10.147+-x86_64-with-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.8.10", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}
 
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 0x7fd0a1b765e0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fd0a1b6fa80>"}, "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": 1000000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1676474957967415309, "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": "[[ 0.39124006 -0.02104621 0.57272947]\n [ 0.39124006 -0.02104621 0.57272947]\n [ 0.39124006 -0.02104621 0.57272947]\n [ 0.39124006 -0.02104621 0.57272947]]", "desired_goal": "[[ 1.5427806 1.6432897 1.4011472 ]\n [ 0.742233 -0.5453772 -0.6865068 ]\n [-0.3498627 0.7000623 -0.4920769 ]\n [-1.3281953 1.1705649 0.50208527]]", "observation": "[[ 0.39124006 -0.02104621 0.57272947 0.0054145 -0.0046967 0.00984827]\n [ 0.39124006 -0.02104621 0.57272947 0.0054145 -0.0046967 0.00984827]\n [ 0.39124006 -0.02104621 0.57272947 0.0054145 -0.0046967 0.00984827]\n [ 0.39124006 -0.02104621 0.57272947 0.0054145 -0.0046967 0.00984827]]"}, "_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": "[[ 1.0319217e-02 -3.1917021e-02 2.2238225e-01]\n [ 1.3556628e-01 1.2054770e-01 2.6864034e-01]\n [-5.1613475e-05 -8.3827458e-02 1.3488892e-01]\n [-1.3159917e-01 2.3803703e-02 1.4470369e-01]]", "observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00]]"}, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": 0.0, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 50000, "n_steps": 5, "gamma": 0.99, "gae_lambda": 1.0, "ent_coef": 0.0, "vf_coef": 0.5, "max_grad_norm": 0.5, "normalize_advantage": false, "system_info": {"OS": "Linux-5.10.147+-x86_64-with-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.8.10", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}
replay.mp4 CHANGED
Binary files a/replay.mp4 and b/replay.mp4 differ
 
results.json CHANGED
@@ -1 +1 @@
1
- {"mean_reward": -3.3553688935935497, "std_reward": 1.0507451667687073, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-02-15T15:18:56.009366"}
 
1
+ {"mean_reward": -1.1508619599975645, "std_reward": 0.3091557866629706, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-02-15T16:20:57.998954"}
vec_normalize.pkl CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6ddbdd5cee55148bf81159e1cd7e99472c80891b481cdc3cd10884a3b2a7d50c
3
  size 3056
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cd3c3ed8600ead45a465e3c5a830092666143c116a9658f6f34fc748bcd31331
3
  size 3056