Initial commit
Browse files- README.md +1 -1
- a2c-PandaReachDense-v2.zip +2 -2
- a2c-PandaReachDense-v2/data +7 -7
- 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: -2.75 +/- 0.52
|
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 sha256:30a860aba58dad9f0cca139bf5c4e836494c4ad947fa77dabfc152f816b9977a
|
3 |
+
size 108108
|
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":
|
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:": "
|
59 |
-
"achieved_goal": "[[ 0.
|
60 |
-
"desired_goal": "[[-0.
|
61 |
-
"observation": "[[
|
62 |
},
|
63 |
"_last_episode_starts": {
|
64 |
":type:": "<class 'numpy.ndarray'>",
|
@@ -77,13 +77,13 @@
|
|
77 |
"_current_progress_remaining": 0.0,
|
78 |
"ep_info_buffer": {
|
79 |
":type:": "<class 'collections.deque'>",
|
80 |
-
":serialized:": "gAWVHRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////
|
81 |
},
|
82 |
"ep_success_buffer": {
|
83 |
":type:": "<class 'collections.deque'>",
|
84 |
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
|
85 |
},
|
86 |
-
"_n_updates":
|
87 |
"n_steps": 5,
|
88 |
"gamma": 0.99,
|
89 |
"gae_lambda": 1.0,
|
|
|
46 |
"_num_timesteps_at_start": 0,
|
47 |
"seed": null,
|
48 |
"action_noise": null,
|
49 |
+
"start_time": 1676078262460634910,
|
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": "[[ 0.39299345 -0.02476431 0.5990992 ]\n [ 0.39299345 -0.02476431 0.5990992 ]\n [ 0.39299345 -0.02476431 0.5990992 ]\n [ 0.39299345 -0.02476431 0.5990992 ]]",
|
60 |
+
"desired_goal": "[[-0.39922646 1.477736 -0.35969344]\n [ 0.7635199 -0.8281954 0.4982191 ]\n [ 0.85343397 -1.4168255 -0.42131326]\n [-0.52166575 0.65896857 1.1739103 ]]",
|
61 |
+
"observation": "[[ 3.9299345e-01 -2.4764309e-02 5.9909922e-01 6.7920545e-03\n -2.6093604e-04 5.9293085e-03]\n [ 3.9299345e-01 -2.4764309e-02 5.9909922e-01 6.7920545e-03\n -2.6093604e-04 5.9293085e-03]\n [ 3.9299345e-01 -2.4764309e-02 5.9909922e-01 6.7920545e-03\n -2.6093604e-04 5.9293085e-03]\n [ 3.9299345e-01 -2.4764309e-02 5.9909922e-01 6.7920545e-03\n -2.6093604e-04 5.9293085e-03]]"
|
62 |
},
|
63 |
"_last_episode_starts": {
|
64 |
":type:": "<class 'numpy.ndarray'>",
|
|
|
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'>",
|
84 |
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
|
85 |
},
|
86 |
+
"_n_updates": 100000,
|
87 |
"n_steps": 5,
|
88 |
"gamma": 0.99,
|
89 |
"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 sha256:61cd9f3d8b6aacdbee8644f0a172b9970ca40e11842870ce2d0abeaacf78a4d9
|
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:d1fde34f7269e3f748f39d2a441ccbe8465b8d6162fcef11bbfb91b881957f79
|
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 0x7f8df372f160>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f8df3728600>"}, "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": 1676074952829145953, "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": "[[ 0.40927655 -0.01715529 0.58955663]\n [ 0.40927655 -0.01715529 0.58955663]\n [ 0.40927655 -0.01715529 0.58955663]\n [ 0.40927655 -0.01715529 0.58955663]]", "desired_goal": "[[-0.94230634 -1.6245433 1.6477741 ]\n [-1.6236446 -0.32520655 1.261843 ]\n [-1.1582489 -0.34581473 0.09442101]\n [ 1.4232961 -0.6261174 0.8022794 ]]", "observation": "[[ 0.40927655 -0.01715529 0.58955663 0.01368933 -0.00102985 0.00966885]\n [ 0.40927655 -0.01715529 0.58955663 0.01368933 -0.00102985 0.00966885]\n [ 0.40927655 -0.01715529 0.58955663 0.01368933 -0.00102985 0.00966885]\n [ 0.40927655 -0.01715529 0.58955663 0.01368933 -0.00102985 0.00966885]]"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAA6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAgLGXvBnGobzzgYk+aMWKvVlzm73ECFY+Y2qSvUfB573bxpA+F1LXPao4sr22KFo+lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAACUaA5LBEsGhpRoEnSUUpR1Lg==", "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": "[[-0.01851726 -0.01974778 0.26856956]\n [-0.06775934 -0.0759036 0.20901781]\n [-0.07149198 -0.11316162 0.28276715]\n [ 0.10513704 -0.08702214 0.21304592]]", "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 0x7f8df372f160>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f8df3728600>"}, "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": 1676078262460634910, "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": "[[ 0.39299345 -0.02476431 0.5990992 ]\n [ 0.39299345 -0.02476431 0.5990992 ]\n [ 0.39299345 -0.02476431 0.5990992 ]\n [ 0.39299345 -0.02476431 0.5990992 ]]", "desired_goal": "[[-0.39922646 1.477736 -0.35969344]\n [ 0.7635199 -0.8281954 0.4982191 ]\n [ 0.85343397 -1.4168255 -0.42131326]\n [-0.52166575 0.65896857 1.1739103 ]]", "observation": "[[ 3.9299345e-01 -2.4764309e-02 5.9909922e-01 6.7920545e-03\n -2.6093604e-04 5.9293085e-03]\n [ 3.9299345e-01 -2.4764309e-02 5.9909922e-01 6.7920545e-03\n -2.6093604e-04 5.9293085e-03]\n [ 3.9299345e-01 -2.4764309e-02 5.9909922e-01 6.7920545e-03\n -2.6093604e-04 5.9293085e-03]\n [ 3.9299345e-01 -2.4764309e-02 5.9909922e-01 6.7920545e-03\n -2.6093604e-04 5.9293085e-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": "[[-0.01851726 -0.01974778 0.26856956]\n [-0.06775934 -0.0759036 0.20901781]\n [-0.07149198 -0.11316162 0.28276715]\n [ 0.10513704 -0.08702214 0.21304592]]", "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": 100000, "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": -
|
|
|
1 |
+
{"mean_reward": -2.7456222130451353, "std_reward": 0.520924653224307, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-02-11T02:06:39.056291"}
|
vec_normalize.pkl
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3056
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dd2e01e8cc191f0fb209daf30aae6d4d99aca70008ba46b1f0198f475861723b
|
3 |
size 3056
|