timtaotao commited on
Commit
12a486e
1 Parent(s): a37eaab

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: -3.05 +/- 1.36
20
  name: mean_reward
21
  verified: false
22
  ---
 
16
  type: PandaReachDense-v2
17
  metrics:
18
  - type: mean_reward
19
+ value: -1.84 +/- 0.48
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 sha256:64c5d2fc5a7d23c9c01386aca0e64f759146c83a27d43b4f2daac6cc4660d3f6
3
  size 108023
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:16a2423677d5e65e8231c71c76df151b4cde1befe8d76099d10b6627e1df7a91
3
  size 108023
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": 1675241290055719470,
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:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAAjLq6PiOoE71+HBE/jLq6PiOoE71+HBE/jLq6PiOoE71+HBE/jLq6PiOoE71+HBE/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAaardvtjuSj84Z6w/Hzlgv3GVuD/Evgc/8NxPP5C9Fb/FScM/vg/YP2F61r/iz0C/lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAACMuro+I6gTvX4cET+M+c67D/NKu/Cie7yMuro+I6gTvX4cET+M+c67D/NKu/Cie7yMuro+I6gTvX4cET+M+c67D/NKu/Cie7yMuro+I6gTvX4cET+M+c67D/NKu/Cie7yUaA5LBEsGhpRoEnSUUpR1Lg==",
59
- "achieved_goal": "[[ 0.3647045 -0.03604902 0.566841 ]\n [ 0.3647045 -0.03604902 0.566841 ]\n [ 0.3647045 -0.03604902 0.566841 ]\n [ 0.3647045 -0.03604902 0.566841 ]]",
60
- "desired_goal": "[[-0.43294075 0.79270697 1.3469 ]\n [-0.8758716 1.4420606 0.5302546 ]\n [ 0.811965 -0.58492374 1.5256888 ]\n [ 1.6879804 -1.6756097 -0.75317204]]",
61
- "observation": "[[ 0.3647045 -0.03604902 0.566841 -0.00631637 -0.00309676 -0.01535867]\n [ 0.3647045 -0.03604902 0.566841 -0.00631637 -0.00309676 -0.01535867]\n [ 0.3647045 -0.03604902 0.566841 -0.00631637 -0.00309676 -0.01535867]\n [ 0.3647045 -0.03604902 0.566841 -0.00631637 -0.00309676 -0.01535867]]"
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": "[[-0.14765994 -0.06605314 0.01383565]\n [ 0.06025792 0.09113418 0.22786248]\n [ 0.09385757 0.12500261 0.19653118]\n [-0.01900699 -0.14117189 0.02142377]]",
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:": "gAWVHRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIl8eakUGuA8CUhpRSlIwBbJRLMowBdJRHQKKMmtRNyo51fZQoaAZoCWgPQwgllL4Qch4BwJSGlFKUaBVLMmgWR0CijGECvHLidX2UKGgGaAloD0MIApoIG55eBsCUhpRSlGgVSzJoFkdAoowlYQrc03V9lChoBmgJaA9DCAQCnUmbag3AlIaUUpRoFUsyaBZHQKKL6XKKYRd1fZQoaAZoCWgPQwgf8parH6sZwJSGlFKUaBVLMmgWR0CijYORLbpNdX2UKGgGaAloD0MI8yA9RQ7xBsCUhpRSlGgVSzJoFkdAoo1KBy0a63V9lChoBmgJaA9DCBbfUPhsPQLAlIaUUpRoFUsyaBZHQKKNDm/WUbF1fZQoaAZoCWgPQwgjopi8AbYSwJSGlFKUaBVLMmgWR0CijNJ0fYBedX2UKGgGaAloD0MIrdug9ls7BMCUhpRSlGgVSzJoFkdAoo5oSamXPnV9lChoBmgJaA9DCFq6gm3EkwDAlIaUUpRoFUsyaBZHQKKOLnOjZct1fZQoaAZoCWgPQwiR0QFJ2HcQwJSGlFKUaBVLMmgWR0CijfLIPsiTdX2UKGgGaAloD0MIw2Fp4Ed1B8CUhpRSlGgVSzJoFkdAoo222G7Bf3V9lChoBmgJaA9DCNV6v9GO2/m/lIaUUpRoFUsyaBZHQKKPSsA/9pB1fZQoaAZoCWgPQwggDafMzVcDwJSGlFKUaBVLMmgWR0CijxD3VTaTdX2UKGgGaAloD0MIVu9wOzQs9L+UhpRSlGgVSzJoFkdAoo7VRWLgoHV9lChoBmgJaA9DCLHh6ZWyzBjAlIaUUpRoFUsyaBZHQKKOmUr08Nh1fZQoaAZoCWgPQwjd0mpI3KMOwJSGlFKUaBVLMmgWR0CikDWoFV1fdX2UKGgGaAloD0MIiJ0pdF6DE8CUhpRSlGgVSzJoFkdAoo/74Hoou3V9lChoBmgJaA9DCOjB3Vm7jQLAlIaUUpRoFUsyaBZHQKKPwD5j6N51fZQoaAZoCWgPQwgLe9rhr8n3v5SGlFKUaBVLMmgWR0Cij4RFRYRvdX2UKGgGaAloD0MIcEBLV7DNAMCUhpRSlGgVSzJoFkdAopEcO5J9RnV9lChoBmgJaA9DCKRv0jQo2v2/lIaUUpRoFUsyaBZHQKKQ4q5sj3V1fZQoaAZoCWgPQwi1pKMczCb7v5SGlFKUaBVLMmgWR0CikKcD0UXYdX2UKGgGaAloD0MIOSuiJvr897+UhpRSlGgVSzJoFkdAopBrFXJYDHV9lChoBmgJaA9DCPcEie3uQfm/lIaUUpRoFUsyaBZHQKKSCHKwIMV1fZQoaAZoCWgPQwiVC5V/LS8DwJSGlFKUaBVLMmgWR0Cikc67/XGwdX2UKGgGaAloD0MIvady2lPyB8CUhpRSlGgVSzJoFkdAopGTIgeRxXV9lChoBmgJaA9DCDhlbr4RHQHAlIaUUpRoFUsyaBZHQKKRV2IO6NF1fZQoaAZoCWgPQwhWYwlrY2ztv5SGlFKUaBVLMmgWR0Ciku8k+otMdX2UKGgGaAloD0MIYVCm0eTi+r+UhpRSlGgVSzJoFkdAopK1XxOLznV9lChoBmgJaA9DCMKlY84zthPAlIaUUpRoFUsyaBZHQKKSeaCL/CJ1fZQoaAZoCWgPQwiGBIwubw7wv5SGlFKUaBVLMmgWR0Cikj2tMfzSdX2UKGgGaAloD0MI4V0u4juRA8CUhpRSlGgVSzJoFkdAopPRJbt7bHV9lChoBmgJaA9DCDqvsUtUL/C/lIaUUpRoFUsyaBZHQKKTl19ORDF1fZQoaAZoCWgPQwh0fLQ4Y9j7v5SGlFKUaBVLMmgWR0Cik1vKdQO4dX2UKGgGaAloD0MI+oBAZ9ImFcCUhpRSlGgVSzJoFkdAopMf+GXXy3V9lChoBmgJaA9DCGEaho+IKfS/lIaUUpRoFUsyaBZHQKKUvP1tfol1fZQoaAZoCWgPQwjQ8dHijGEDwJSGlFKUaBVLMmgWR0CilIM1sLv1dX2UKGgGaAloD0MIMzSeCOJsEMCUhpRSlGgVSzJoFkdAopRHkT6BRXV9lChoBmgJaA9DCAA2IEJceQvAlIaUUpRoFUsyaBZHQKKUC6cRUWF1fZQoaAZoCWgPQwhnZJC7CHMBwJSGlFKUaBVLMmgWR0CilbBXbM5fdX2UKGgGaAloD0MIaAjHLHtyA8CUhpRSlGgVSzJoFkdAopV2o73fynV9lChoBmgJaA9DCMBBe/Xx0ADAlIaUUpRoFUsyaBZHQKKVOxFAmiR1fZQoaAZoCWgPQwibApmdRW/2v5SGlFKUaBVLMmgWR0CilP8s189fdX2UKGgGaAloD0MIAmISLuRxFcCUhpRSlGgVSzJoFkdAopaYYDTz/nV9lChoBmgJaA9DCCWzeofbofa/lIaUUpRoFUsyaBZHQKKWXnuAqd91fZQoaAZoCWgPQwhr8L4qF6oDwJSGlFKUaBVLMmgWR0CiliLPD50sdX2UKGgGaAloD0MIKljjbDqC+r+UhpRSlGgVSzJoFkdAopXmzByjpXV9lChoBmgJaA9DCPyO4bGfRQLAlIaUUpRoFUsyaBZHQKKXdViF0xN1fZQoaAZoCWgPQwhUyQBQxU34v5SGlFKUaBVLMmgWR0CilzuU2UB5dX2UKGgGaAloD0MIdeYeEr53B8CUhpRSlGgVSzJoFkdAopb/13+uNnV9lChoBmgJaA9DCEypS8YxsgPAlIaUUpRoFUsyaBZHQKKWw85jpcJ1fZQoaAZoCWgPQwgR4PQu3k/9v5SGlFKUaBVLMmgWR0CimF/QSi/PdX2UKGgGaAloD0MI+Z0mM96W/r+UhpRSlGgVSzJoFkdAopgl8Z1mrnV9lChoBmgJaA9DCAfSxaaVQgTAlIaUUpRoFUsyaBZHQKKX6ju8brF1fZQoaAZoCWgPQwj+DG/W4F0CwJSGlFKUaBVLMmgWR0Cil65hScbzdX2UKGgGaAloD0MIKgExCReSBMCUhpRSlGgVSzJoFkdAoplAOMERrnV9lChoBmgJaA9DCPP/qiNHOv2/lIaUUpRoFUsyaBZHQKKZBoHs1Kp1fZQoaAZoCWgPQwguck9Xd4wFwJSGlFKUaBVLMmgWR0CimMrEcbR4dX2UKGgGaAloD0MIREyJJHoZ97+UhpRSlGgVSzJoFkdAopiO/etSynV9lChoBmgJaA9DCEcdHVcj+/G/lIaUUpRoFUsyaBZHQKKaKoo/iYN1fZQoaAZoCWgPQwgL7gc8MEANwJSGlFKUaBVLMmgWR0CimfDkELYxdX2UKGgGaAloD0MITWn9LQGYAMCUhpRSlGgVSzJoFkdAopm1bmlqJ3V9lChoBmgJaA9DCNrjhXR4yATAlIaUUpRoFUsyaBZHQKKZeWqtHQR1fZQoaAZoCWgPQwikjLgANGoFwJSGlFKUaBVLMmgWR0CimwgCW/rTdX2UKGgGaAloD0MINUBpqFFI+L+UhpRSlGgVSzJoFkdAoprOe4Cp33V9lChoBmgJaA9DCOD1mbM+ZQbAlIaUUpRoFUsyaBZHQKKaksqaw2V1fZQoaAZoCWgPQwjpt68D56wPwJSGlFKUaBVLMmgWR0CimlbhNucddX2UKGgGaAloD0MIzCiWW1rtF8CUhpRSlGgVSzJoFkdAopvowblzVHV9lChoBmgJaA9DCEp87gT7LwPAlIaUUpRoFUsyaBZHQKKbru/Dcdp1fZQoaAZoCWgPQwhStkjajX76v5SGlFKUaBVLMmgWR0Cim3MsQNCrdX2UKGgGaAloD0MIhqxu9Zw08b+UhpRSlGgVSzJoFkdAops3LDAJs3V9lChoBmgJaA9DCGouNxjq8Py/lIaUUpRoFUsyaBZHQKKc6rBj4Hp1fZQoaAZoCWgPQwiIEcKjjSP8v5SGlFKUaBVLMmgWR0CinLFjmSyMdX2UKGgGaAloD0MIGsHG9e9aBcCUhpRSlGgVSzJoFkdAopx1wBHTZ3V9lChoBmgJaA9DCFg6H54lSPS/lIaUUpRoFUsyaBZHQKKcOcFQl8h1fZQoaAZoCWgPQwjwEwfQ7/sLwJSGlFKUaBVLMmgWR0Cinc4M4LkTdX2UKGgGaAloD0MIL00R4PRu/r+UhpRSlGgVSzJoFkdAop2UJ6Y3N3V9lChoBmgJaA9DCPsgy4KJ/xLAlIaUUpRoFUsyaBZHQKKdWKTB68h1fZQoaAZoCWgPQwjcf2Q6dIoQwJSGlFKUaBVLMmgWR0CinRy5y2hJdX2UKGgGaAloD0MIV2DI6lbvAMCUhpRSlGgVSzJoFkdAop6vbsWweXV9lChoBmgJaA9DCIG0/wHWKgbAlIaUUpRoFUsyaBZHQKKedaUzKtB1fZQoaAZoCWgPQwgpJQSr6gUSwJSGlFKUaBVLMmgWR0CinjncDbJwdX2UKGgGaAloD0MIF5zB3y8GAsCUhpRSlGgVSzJoFkdAop399hJAdHV9lChoBmgJaA9DCE6c3O9QlAHAlIaUUpRoFUsyaBZHQKKfh/6O5rh1fZQoaAZoCWgPQwgAxjNo6B8KwJSGlFKUaBVLMmgWR0Cin04TsY2sdX2UKGgGaAloD0MIlUbM7PMIF8CUhpRSlGgVSzJoFkdAop8SUiY9gXV9lChoBmgJaA9DCHbicrwCMQ3AlIaUUpRoFUsyaBZHQKKe1kCFK051fZQoaAZoCWgPQwg/qfbpeAz9v5SGlFKUaBVLMmgWR0CioG5UDMePdX2UKGgGaAloD0MIl65gG/Ek/b+UhpRSlGgVSzJoFkdAoqA0eOn2qXV9lChoBmgJaA9DCOHQWzy85/e/lIaUUpRoFUsyaBZHQKKf+NGViWp1fZQoaAZoCWgPQwiQEVDhCDIGwJSGlFKUaBVLMmgWR0Cin7zV2A5JdX2UKGgGaAloD0MIxFxStd0kC8CUhpRSlGgVSzJoFkdAoqFgyRB/qnV9lChoBmgJaA9DCEyo4PCCyAjAlIaUUpRoFUsyaBZHQKKhJxlQMx51fZQoaAZoCWgPQwj1vYbguEz2v5SGlFKUaBVLMmgWR0CioOt5t3wDdX2UKGgGaAloD0MIqiwKuyhaBsCUhpRSlGgVSzJoFkdAoqCveWOZLXV9lChoBmgJaA9DCA/xD1t6tALAlIaUUpRoFUsyaBZHQKKiXPYWcjJ1fZQoaAZoCWgPQwiuRQvQtloGwJSGlFKUaBVLMmgWR0CioiMxoIv8dX2UKGgGaAloD0MIIxEawca18r+UhpRSlGgVSzJoFkdAoqHncSGrS3V9lChoBmgJaA9DCBw/VBoxM/W/lIaUUpRoFUsyaBZHQKKhq2y9mHx1ZS4="
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": 1675245554075280819,
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": "[[ 0.39473915 -0.00851649 0.553365 ]\n [ 0.39473915 -0.00851649 0.553365 ]\n [ 0.39473915 -0.00851649 0.553365 ]\n [ 0.39473915 -0.00851649 0.553365 ]]",
60
+ "desired_goal": "[[ 0.47036207 1.327201 0.33190528]\n [-0.522756 1.2400638 0.5099935 ]\n [-1.0915354 -0.34795415 1.6660366 ]\n [ 1.2548082 0.16675523 0.52796453]]",
61
+ "observation": "[[ 0.39473915 -0.00851649 0.553365 0.00723718 -0.00472235 0.00348945]\n [ 0.39473915 -0.00851649 0.553365 0.00723718 -0.00472235 0.00348945]\n [ 0.39473915 -0.00851649 0.553365 0.00723718 -0.00472235 0.00348945]\n [ 0.39473915 -0.00851649 0.553365 0.00723718 -0.00472235 0.00348945]]"
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": "[[-0.07408334 -0.00174824 0.11757266]\n [-0.03512679 0.04512461 0.14573985]\n [ 0.113152 0.1011042 0.08383416]\n [-0.0344433 -0.03071765 0.00505143]]",
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////9LAHSUYkMIKNNocjFmBsCUhpRSlIwBbJRLMowBdJRHQKNG4W7e2ux1fZQoaAZoCWgPQwioqzsW26QEwJSGlFKUaBVLMmgWR0CjRpkwWWQfdX2UKGgGaAloD0MIn8vUJHiD/L+UhpRSlGgVSzJoFkdAo0Ze1KGtZHV9lChoBmgJaA9DCCUfuwuU9ALAlIaUUpRoFUsyaBZHQKNGIrAgxJx1fZQoaAZoCWgPQwjspSkCnN74v5SGlFKUaBVLMmgWR0CjR+GyX2M9dX2UKGgGaAloD0MInIaowp8hCsCUhpRSlGgVSzJoFkdAo0eZNucc2nV9lChoBmgJaA9DCB2QhH07KQfAlIaUUpRoFUsyaBZHQKNHXqCYkVx1fZQoaAZoCWgPQwh39SoyOmD/v5SGlFKUaBVLMmgWR0CjRyJbMX7+dX2UKGgGaAloD0MIlkG1wYlICMCUhpRSlGgVSzJoFkdAo0jYhIOH33V9lChoBmgJaA9DCBgHl445j/u/lIaUUpRoFUsyaBZHQKNIkAAAAAB1fZQoaAZoCWgPQwiJQWDl0KIEwJSGlFKUaBVLMmgWR0CjSFXirDIjdX2UKGgGaAloD0MIF35wPnUMA8CUhpRSlGgVSzJoFkdAo0gZtLteD3V9lChoBmgJaA9DCHvZdtoaUf+/lIaUUpRoFUsyaBZHQKNJ1oYekpJ1fZQoaAZoCWgPQwgIkKFjB3UCwJSGlFKUaBVLMmgWR0CjSY5W7voedX2UKGgGaAloD0MImL9C5srg+7+UhpRSlGgVSzJoFkdAo0lULfDUE3V9lChoBmgJaA9DCKVPq+gPDf6/lIaUUpRoFUsyaBZHQKNJF+FUQ051fZQoaAZoCWgPQwiPjNXm/xX+v5SGlFKUaBVLMmgWR0CjSt5y2hIwdX2UKGgGaAloD0MItcL0vYbg97+UhpRSlGgVSzJoFkdAo0qWEXcgyXV9lChoBmgJaA9DCAt6bwwBQP6/lIaUUpRoFUsyaBZHQKNKW8pTdcl1fZQoaAZoCWgPQwhxzLIngQ32v5SGlFKUaBVLMmgWR0CjSh/TTfBOdX2UKGgGaAloD0MIyRzLu+oBBsCUhpRSlGgVSzJoFkdAo0vZcAzYVnV9lChoBmgJaA9DCGiu00hLJf6/lIaUUpRoFUsyaBZHQKNLkQYDT0B1fZQoaAZoCWgPQwgs8BXdeo34v5SGlFKUaBVLMmgWR0CjS1ZiNKh+dX2UKGgGaAloD0MIXMtkOJ6PCsCUhpRSlGgVSzJoFkdAo0saVKPGQ3V9lChoBmgJaA9DCEmdgCbChgbAlIaUUpRoFUsyaBZHQKNM09Gqgh91fZQoaAZoCWgPQwhNDwpK0WoAwJSGlFKUaBVLMmgWR0CjTIuRs/IKdX2UKGgGaAloD0MIMlpHVROE/L+UhpRSlGgVSzJoFkdAo0xQ84gieXV9lChoBmgJaA9DCBk3NdB8bgjAlIaUUpRoFUsyaBZHQKNMFJ3gUDd1fZQoaAZoCWgPQwgV4pF4eVoFwJSGlFKUaBVLMmgWR0CjTcy/bj95dX2UKGgGaAloD0MIy2d5HtydBcCUhpRSlGgVSzJoFkdAo02EQ/X5FnV9lChoBmgJaA9DCL+4VKUtbv+/lIaUUpRoFUsyaBZHQKNNSfaHsTp1fZQoaAZoCWgPQwgnUMQihl33v5SGlFKUaBVLMmgWR0CjTQ3Ilt0ndX2UKGgGaAloD0MIjlw3pbwW87+UhpRSlGgVSzJoFkdAo07NZRsMzHV9lChoBmgJaA9DCO9XAb7bfAbAlIaUUpRoFUsyaBZHQKNOhTb349J1fZQoaAZoCWgPQwiRt1z92EQFwJSGlFKUaBVLMmgWR0CjTkrvLHMmdX2UKGgGaAloD0MI3lomw/GcAsCUhpRSlGgVSzJoFkdAo04Oe6I3znV9lChoBmgJaA9DCMBd9utOt/2/lIaUUpRoFUsyaBZHQKNP0yO7xut1fZQoaAZoCWgPQwgvUFJgAewDwJSGlFKUaBVLMmgWR0CjT4rwOOKgdX2UKGgGaAloD0MIx2Xc1EAz+b+UhpRSlGgVSzJoFkdAo09QhUzbe3V9lChoBmgJaA9DCIXP1sHBngLAlIaUUpRoFUsyaBZHQKNPFHskY411fZQoaAZoCWgPQwiAngYMkv78v5SGlFKUaBVLMmgWR0CjUOMzdk8SdX2UKGgGaAloD0MIaVVLOsphAMCUhpRSlGgVSzJoFkdAo1Ca1/lQuXV9lChoBmgJaA9DCH2utmJ/WQDAlIaUUpRoFUsyaBZHQKNQYI3zcyp1fZQoaAZoCWgPQwjxDvCkhesAwJSGlFKUaBVLMmgWR0CjUCRJul41dX2UKGgGaAloD0MIo8wGmWRkA8CUhpRSlGgVSzJoFkdAo1HyUkfLcXV9lChoBmgJaA9DCIxIFFrWPQDAlIaUUpRoFUsyaBZHQKNRqiNbTtt1fZQoaAZoCWgPQwiFXKlnQagDwJSGlFKUaBVLMmgWR0CjUW/cvduYdX2UKGgGaAloD0MIem6hKxEo9b+UhpRSlGgVSzJoFkdAo1Ezo+wC83V9lChoBmgJaA9DCOCD1y5tGAnAlIaUUpRoFUsyaBZHQKNTAxPfsNV1fZQoaAZoCWgPQwic/YFy234BwJSGlFKUaBVLMmgWR0CjUrrVvuPWdX2UKGgGaAloD0MIoUyjycW4BcCUhpRSlGgVSzJoFkdAo1KAv114gXV9lChoBmgJaA9DCKRVLekoR/i/lIaUUpRoFUsyaBZHQKNSRJW/8EV1fZQoaAZoCWgPQwiZDp2ed6P5v5SGlFKUaBVLMmgWR0CjVBYXoC+2dX2UKGgGaAloD0MId0mcFVGT9b+UhpRSlGgVSzJoFkdAo1PN01ZTynV9lChoBmgJaA9DCCb+KOrMPf2/lIaUUpRoFUsyaBZHQKNTk53kgfV1fZQoaAZoCWgPQwgUdeYeEj4KwJSGlFKUaBVLMmgWR0CjU1djwx33dX2UKGgGaAloD0MID39N1qjH+b+UhpRSlGgVSzJoFkdAo1Ujy8SPEXV9lChoBmgJaA9DCOSFdHgIwwnAlIaUUpRoFUsyaBZHQKNU22qDK5l1fZQoaAZoCWgPQwhQG9XpQFb1v5SGlFKUaBVLMmgWR0CjVKEa2nbZdX2UKGgGaAloD0MIELIsmPjDBsCUhpRSlGgVSzJoFkdAo1Rk4Nqgy3V9lChoBmgJaA9DCMJNRpVh3ATAlIaUUpRoFUsyaBZHQKNWP0dRzil1fZQoaAZoCWgPQwjsUbgehQsAwJSGlFKUaBVLMmgWR0CjVfcifQKKdX2UKGgGaAloD0MIZcOayqKw/L+UhpRSlGgVSzJoFkdAo1W83uNPxnV9lChoBmgJaA9DCAWGrG71nATAlIaUUpRoFUsyaBZHQKNVgN+b3Gp1fZQoaAZoCWgPQwgPY9LfS8EEwJSGlFKUaBVLMmgWR0CjV1DFId2gdX2UKGgGaAloD0MIO1J95xdFAsCUhpRSlGgVSzJoFkdAo1cIgA6uGXV9lChoBmgJaA9DCMrDQq1pnvy/lIaUUpRoFUsyaBZHQKNWzi83+/B1fZQoaAZoCWgPQwjeADPfwS8MwJSGlFKUaBVLMmgWR0CjVpIAGSpzdX2UKGgGaAloD0MIECBDxw7qAMCUhpRSlGgVSzJoFkdAo1hTd8Aq/nV9lChoBmgJaA9DCMx6MZQTjQXAlIaUUpRoFUsyaBZHQKNYCzD4xlB1fZQoaAZoCWgPQwjbw14oYJsIwJSGlFKUaBVLMmgWR0CjV9DCpFTedX2UKGgGaAloD0MIIsFUM2spBsCUhpRSlGgVSzJoFkdAo1eUpLEk0XV9lChoBmgJaA9DCMZq8/+q4/m/lIaUUpRoFUsyaBZHQKNZZRTCLuR1fZQoaAZoCWgPQwh+U1ipoCL/v5SGlFKUaBVLMmgWR0CjWR0HIIWydX2UKGgGaAloD0MICi3r/rHQ97+UhpRSlGgVSzJoFkdAo1jitzS1E3V9lChoBmgJaA9DCCC4yhMIOwHAlIaUUpRoFUsyaBZHQKNYpp2U0N11fZQoaAZoCWgPQwhp44i1+HQAwJSGlFKUaBVLMmgWR0CjWm73PAwgdX2UKGgGaAloD0MI7+L9uP1y/L+UhpRSlGgVSzJoFkdAo1omp++dsnV9lChoBmgJaA9DCIeMR6mEJ/q/lIaUUpRoFUsyaBZHQKNZ7FdcB2h1fZQoaAZoCWgPQwiJQWDl0OIDwJSGlFKUaBVLMmgWR0CjWbAjIJZ4dX2UKGgGaAloD0MIwY7/AkEgBcCUhpRSlGgVSzJoFkdAo1t4IjW07nV9lChoBmgJaA9DCEj+YOC5d/y/lIaUUpRoFUsyaBZHQKNbL/3Fkx11fZQoaAZoCWgPQwhq2zAKgkf6v5SGlFKUaBVLMmgWR0CjWvWepXIVdX2UKGgGaAloD0MIVfmekQgNB8CUhpRSlGgVSzJoFkdAo1q5WNm16XV9lChoBmgJaA9DCN1gqMMKFwHAlIaUUpRoFUsyaBZHQKNcfxnWatt1fZQoaAZoCWgPQwhrniPyXcr5v5SGlFKUaBVLMmgWR0CjXDbJW/8EdX2UKGgGaAloD0MI5gXYR6cuA8CUhpRSlGgVSzJoFkdAo1v8ZzgdfnV9lChoBmgJaA9DCME5I0p7g/S/lIaUUpRoFUsyaBZHQKNbwDSw4bV1fZQoaAZoCWgPQwgCRSxi2EECwJSGlFKUaBVLMmgWR0CjXYW9US7HdX2UKGgGaAloD0MIXD0nvW/89L+UhpRSlGgVSzJoFkdAo109ilSCOHV9lChoBmgJaA9DCEJg5dAiW/i/lIaUUpRoFUsyaBZHQKNdA0pmVZ91fZQoaAZoCWgPQwhoeomxTP/5v5SGlFKUaBVLMmgWR0CjXMcEFGG3dX2UKGgGaAloD0MIatyb3zCRAcCUhpRSlGgVSzJoFkdAo16Sxs2vS3V9lChoBmgJaA9DCFLy6hwDcvi/lIaUUpRoFUsyaBZHQKNeSn/DLr51fZQoaAZoCWgPQwg82jhiLV4KwJSGlFKUaBVLMmgWR0CjXg//FR51dX2UKGgGaAloD0MIM4y7QbSW97+UhpRSlGgVSzJoFkdAo13USqU/wHV9lChoBmgJaA9DCOs2qP3W7gDAlIaUUpRoFUsyaBZHQKNfnOryUcJ1fZQoaAZoCWgPQwgsoFBPHwEAwJSGlFKUaBVLMmgWR0CjX1SydFvydX2UKGgGaAloD0MIhjqscMvHAsCUhpRSlGgVSzJoFkdAo18aUkfLcXV9lChoBmgJaA9DCJLM6h1upxDAlIaUUpRoFUsyaBZHQKNe3iI+GGp1ZS4="
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:e50812a2d4d95b6851c9630d47bdafa12a48a3d1963b5f7b7376e679913cdce3
3
  size 44734
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:04f516f261fd17c48be17780d3f6a0d7faa2200408f0da94a48ed7176dd0e63a
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:da93c3defb823ba613a00e9813e111c7b3ee00616375bc00a9e6010f1eeef280
3
  size 46014
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:92918e1472e8e56cc3700cefd000088942ffb3b25918a4dcd78441fc56754a15
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 0x7f51408b43a0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f51408acb10>"}, "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": 1675241290055719470, "learning_rate": 0.0007, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "gAWVwwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4JDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGgffZR9lChoFmgNjAxfX3F1YWxuYW1lX1+UjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoF4wHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/RvAGjbi6x4WUUpSFlIwXX2Nsb3VkcGlja2xlX3N1Ym1vZHVsZXOUXZSMC19fZ2xvYmFsc19flH2UdYaUhlIwLg=="}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[ 0.3647045 -0.03604902 0.566841 ]\n [ 0.3647045 -0.03604902 0.566841 ]\n [ 0.3647045 -0.03604902 0.566841 ]\n [ 0.3647045 -0.03604902 0.566841 ]]", "desired_goal": "[[-0.43294075 0.79270697 1.3469 ]\n [-0.8758716 1.4420606 0.5302546 ]\n [ 0.811965 -0.58492374 1.5256888 ]\n [ 1.6879804 -1.6756097 -0.75317204]]", "observation": "[[ 0.3647045 -0.03604902 0.566841 -0.00631637 -0.00309676 -0.01535867]\n [ 0.3647045 -0.03604902 0.566841 -0.00631637 -0.00309676 -0.01535867]\n [ 0.3647045 -0.03604902 0.566841 -0.00631637 -0.00309676 -0.01535867]\n [ 0.3647045 -0.03604902 0.566841 -0.00631637 -0.00309676 -0.01535867]]"}, "_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": "[[-0.14765994 -0.06605314 0.01383565]\n [ 0.06025792 0.09113418 0.22786248]\n [ 0.09385757 0.12500261 0.19653118]\n [-0.01900699 -0.14117189 0.02142377]]", "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"}}
 
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 0x7f51408b43a0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f51408acb10>"}, "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": 1675245554075280819, "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": "[[ 0.39473915 -0.00851649 0.553365 ]\n [ 0.39473915 -0.00851649 0.553365 ]\n [ 0.39473915 -0.00851649 0.553365 ]\n [ 0.39473915 -0.00851649 0.553365 ]]", "desired_goal": "[[ 0.47036207 1.327201 0.33190528]\n [-0.522756 1.2400638 0.5099935 ]\n [-1.0915354 -0.34795415 1.6660366 ]\n [ 1.2548082 0.16675523 0.52796453]]", "observation": "[[ 0.39473915 -0.00851649 0.553365 0.00723718 -0.00472235 0.00348945]\n [ 0.39473915 -0.00851649 0.553365 0.00723718 -0.00472235 0.00348945]\n [ 0.39473915 -0.00851649 0.553365 0.00723718 -0.00472235 0.00348945]\n [ 0.39473915 -0.00851649 0.553365 0.00723718 -0.00472235 0.00348945]]"}, "_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": "[[-0.07408334 -0.00174824 0.11757266]\n [-0.03512679 0.04512461 0.14573985]\n [ 0.113152 0.1011042 0.08383416]\n [-0.0344433 -0.03071765 0.00505143]]", "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": -3.0517085350118576, "std_reward": 1.363429899451613, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-02-01T09:34:13.749548"}
 
1
+ {"mean_reward": -1.8398674462921918, "std_reward": 0.4774473221290287, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-02-01T10:42:42.950235"}
vec_normalize.pkl CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:47862f201dbf4a3dcf6af75715efc50b97d102a3da6a587c245ab02b900d673d
3
  size 3056
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:91b677e672e7e1e5dd25ba9439e5b14373915f03caa857b40bacb03360f5c7dd
3
  size 3056