Initial commit
Browse files- README.md +37 -0
- a2c-AntBulletEnv-v0.zip +3 -0
- a2c-AntBulletEnv-v0/_stable_baselines3_version +1 -0
- a2c-AntBulletEnv-v0/data +106 -0
- a2c-AntBulletEnv-v0/policy.optimizer.pth +3 -0
- a2c-AntBulletEnv-v0/policy.pth +3 -0
- a2c-AntBulletEnv-v0/pytorch_variables.pth +3 -0
- a2c-AntBulletEnv-v0/system_info.txt +7 -0
- config.json +1 -0
- replay.mp4 +0 -0
- results.json +1 -0
- vec_normalize.pkl +3 -0
README.md
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: stable-baselines3
|
3 |
+
tags:
|
4 |
+
- AntBulletEnv-v0
|
5 |
+
- deep-reinforcement-learning
|
6 |
+
- reinforcement-learning
|
7 |
+
- stable-baselines3
|
8 |
+
model-index:
|
9 |
+
- name: A2C
|
10 |
+
results:
|
11 |
+
- task:
|
12 |
+
type: reinforcement-learning
|
13 |
+
name: reinforcement-learning
|
14 |
+
dataset:
|
15 |
+
name: AntBulletEnv-v0
|
16 |
+
type: AntBulletEnv-v0
|
17 |
+
metrics:
|
18 |
+
- type: mean_reward
|
19 |
+
value: 815.41 +/- 177.13
|
20 |
+
name: mean_reward
|
21 |
+
verified: false
|
22 |
+
---
|
23 |
+
|
24 |
+
# **A2C** Agent playing **AntBulletEnv-v0**
|
25 |
+
This is a trained model of a **A2C** agent playing **AntBulletEnv-v0**
|
26 |
+
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
|
27 |
+
|
28 |
+
## Usage (with Stable-baselines3)
|
29 |
+
TODO: Add your code
|
30 |
+
|
31 |
+
|
32 |
+
```python
|
33 |
+
from stable_baselines3 import ...
|
34 |
+
from huggingface_sb3 import load_from_hub
|
35 |
+
|
36 |
+
...
|
37 |
+
```
|
a2c-AntBulletEnv-v0.zip
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:037b855dc9a67d4aebf1573b23d4e52afb90bfdea4b7eb22d0a14b6635ce8dbd
|
3 |
+
size 129260
|
a2c-AntBulletEnv-v0/_stable_baselines3_version
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
1.7.0
|
a2c-AntBulletEnv-v0/data
ADDED
@@ -0,0 +1,106 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"policy_class": {
|
3 |
+
":type:": "<class 'abc.ABCMeta'>",
|
4 |
+
":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==",
|
5 |
+
"__module__": "stable_baselines3.common.policies",
|
6 |
+
"__doc__": "\n 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\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: Features extractor to use.\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 ",
|
7 |
+
"__init__": "<function ActorCriticPolicy.__init__ at 0x7fc38aa9a1f0>",
|
8 |
+
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fc38aa9a280>",
|
9 |
+
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fc38aa9a310>",
|
10 |
+
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fc38aa9a3a0>",
|
11 |
+
"_build": "<function ActorCriticPolicy._build at 0x7fc38aa9a430>",
|
12 |
+
"forward": "<function ActorCriticPolicy.forward at 0x7fc38aa9a4c0>",
|
13 |
+
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7fc38aa9a550>",
|
14 |
+
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fc38aa9a5e0>",
|
15 |
+
"_predict": "<function ActorCriticPolicy._predict at 0x7fc38aa9a670>",
|
16 |
+
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fc38aa9a700>",
|
17 |
+
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fc38aa9a790>",
|
18 |
+
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7fc38aa9a820>",
|
19 |
+
"__abstractmethods__": "frozenset()",
|
20 |
+
"_abc_impl": "<_abc_data object at 0x7fc38aa8dfc0>"
|
21 |
+
},
|
22 |
+
"verbose": 1,
|
23 |
+
"policy_kwargs": {
|
24 |
+
":type:": "<class 'dict'>",
|
25 |
+
":serialized:": "gAWVowAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/v///4wKb3J0aG9faW5pdJSJjA9vcHRpbWl6ZXJfY2xhc3OUjBN0b3JjaC5vcHRpbS5ybXNwcm9wlIwHUk1TcHJvcJSTlIwQb3B0aW1pemVyX2t3YXJnc5R9lCiMBWFscGhhlEc/764UeuFHrowDZXBzlEc+5Pi1iONo8YwMd2VpZ2h0X2RlY2F5lEsAdXUu",
|
26 |
+
"log_std_init": -2,
|
27 |
+
"ortho_init": false,
|
28 |
+
"optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>",
|
29 |
+
"optimizer_kwargs": {
|
30 |
+
"alpha": 0.99,
|
31 |
+
"eps": 1e-05,
|
32 |
+
"weight_decay": 0
|
33 |
+
}
|
34 |
+
},
|
35 |
+
"observation_space": {
|
36 |
+
":type:": "<class 'gym.spaces.box.Box'>",
|
37 |
+
":serialized:": "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",
|
38 |
+
"dtype": "float32",
|
39 |
+
"_shape": [
|
40 |
+
28
|
41 |
+
],
|
42 |
+
"low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf]",
|
43 |
+
"high": "[inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf\n inf inf inf inf inf inf inf inf inf inf]",
|
44 |
+
"bounded_below": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False]",
|
45 |
+
"bounded_above": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False]",
|
46 |
+
"_np_random": null
|
47 |
+
},
|
48 |
+
"action_space": {
|
49 |
+
":type:": "<class 'gym.spaces.box.Box'>",
|
50 |
+
":serialized:": "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",
|
51 |
+
"dtype": "float32",
|
52 |
+
"_shape": [
|
53 |
+
8
|
54 |
+
],
|
55 |
+
"low": "[-1. -1. -1. -1. -1. -1. -1. -1.]",
|
56 |
+
"high": "[1. 1. 1. 1. 1. 1. 1. 1.]",
|
57 |
+
"bounded_below": "[ True True True True True True True True]",
|
58 |
+
"bounded_above": "[ True True True True True True True True]",
|
59 |
+
"_np_random": null
|
60 |
+
},
|
61 |
+
"n_envs": 4,
|
62 |
+
"num_timesteps": 2000000,
|
63 |
+
"_total_timesteps": 2000000,
|
64 |
+
"_num_timesteps_at_start": 0,
|
65 |
+
"seed": null,
|
66 |
+
"action_noise": null,
|
67 |
+
"start_time": 1675524532834137586,
|
68 |
+
"learning_rate": 0.00096,
|
69 |
+
"tensorboard_log": null,
|
70 |
+
"lr_schedule": {
|
71 |
+
":type:": "<class 'function'>",
|
72 |
+
":serialized:": "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"
|
73 |
+
},
|
74 |
+
"_last_obs": {
|
75 |
+
":type:": "<class 'numpy.ndarray'>",
|
76 |
+
":serialized:": "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"
|
77 |
+
},
|
78 |
+
"_last_episode_starts": {
|
79 |
+
":type:": "<class 'numpy.ndarray'>",
|
80 |
+
":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="
|
81 |
+
},
|
82 |
+
"_last_original_obs": {
|
83 |
+
":type:": "<class 'numpy.ndarray'>",
|
84 |
+
":serialized:": "gAWVNQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJbAAQAAAAAAAAAAAAADioa1AACAPwAAAAAAAAAAAAAAAAAAAAAAAACAz1UGPAAAAAD9tvm/AAAAAPs1sz0AAAAASlTpPwAAAADhOVc8AAAAAKnD/j8AAAAAjXgGPgAAAADYvOS/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAg9cDNgAAgD8AAAAAAAAAAAAAAAAAAAAAAAAAgAKQt70AAAAATBr7vwAAAAAUrjI9AAAAAAHc2T8AAAAAcoO2PAAAAADKY+E/AAAAAE0YmD0AAAAAMAvwvwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADzZJzYAAIA/AAAAAAAAAAAAAAAAAAAAAAAAAIAc3Qq+AAAAAAjq7L8AAAAAATETvQAAAAAf1+s/AAAAABChpD0AAAAAewQAQAAAAAC4dJY9AAAAAGvS7r8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADfK4y1AACAPwAAAAAAAAAAAAAAAAAAAAAAAACAMULpPQAAAACuVdy/AAAAAOQRsTwAAAAAsCABQAAAAAAwX6M9AAAAAEyB8z8AAAAAzoMXPQAAAACXcPq/AAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJmNJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiSwRLHIaUjAFDlHSUUpQu"
|
85 |
+
},
|
86 |
+
"_episode_num": 0,
|
87 |
+
"use_sde": true,
|
88 |
+
"sde_sample_freq": -1,
|
89 |
+
"_current_progress_remaining": 0.0,
|
90 |
+
"ep_info_buffer": {
|
91 |
+
":type:": "<class 'collections.deque'>",
|
92 |
+
":serialized:": "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"
|
93 |
+
},
|
94 |
+
"ep_success_buffer": {
|
95 |
+
":type:": "<class 'collections.deque'>",
|
96 |
+
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
|
97 |
+
},
|
98 |
+
"_n_updates": 62500,
|
99 |
+
"n_steps": 8,
|
100 |
+
"gamma": 0.99,
|
101 |
+
"gae_lambda": 0.9,
|
102 |
+
"ent_coef": 0.0,
|
103 |
+
"vf_coef": 0.4,
|
104 |
+
"max_grad_norm": 0.5,
|
105 |
+
"normalize_advantage": false
|
106 |
+
}
|
a2c-AntBulletEnv-v0/policy.optimizer.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3939d46412d51881dd939b3a9165784bf665b85618fb0b42bfb08f61e999c17c
|
3 |
+
size 56190
|
a2c-AntBulletEnv-v0/policy.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7e03e586199a7d482f6c1a76f05ded4b8a2fa2966944519bf015a1299ea0ca28
|
3 |
+
size 56958
|
a2c-AntBulletEnv-v0/pytorch_variables.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d030ad8db708280fcae77d87e973102039acd23a11bdecc3db8eb6c0ac940ee1
|
3 |
+
size 431
|
a2c-AntBulletEnv-v0/system_info.txt
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
- OS: Linux-5.10.147+-x86_64-with-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022
|
2 |
+
- Python: 3.8.10
|
3 |
+
- Stable-Baselines3: 1.7.0
|
4 |
+
- PyTorch: 1.13.1+cu116
|
5 |
+
- GPU Enabled: True
|
6 |
+
- Numpy: 1.21.6
|
7 |
+
- Gym: 0.21.0
|
config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", "__module__": "stable_baselines3.common.policies", "__doc__": "\n 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\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: Features extractor to use.\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 ActorCriticPolicy.__init__ at 0x7fc38aa9a1f0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fc38aa9a280>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fc38aa9a310>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fc38aa9a3a0>", "_build": "<function ActorCriticPolicy._build at 0x7fc38aa9a430>", "forward": "<function ActorCriticPolicy.forward at 0x7fc38aa9a4c0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fc38aa9a550>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fc38aa9a5e0>", "_predict": "<function ActorCriticPolicy._predict at 0x7fc38aa9a670>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fc38aa9a700>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fc38aa9a790>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fc38aa9a820>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fc38aa8dfc0>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gAWVowAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/v///4wKb3J0aG9faW5pdJSJjA9vcHRpbWl6ZXJfY2xhc3OUjBN0b3JjaC5vcHRpbS5ybXNwcm9wlIwHUk1TcHJvcJSTlIwQb3B0aW1pemVyX2t3YXJnc5R9lCiMBWFscGhhlEc/764UeuFHrowDZXBzlEc+5Pi1iONo8YwMd2VpZ2h0X2RlY2F5lEsAdXUu", "log_std_init": -2, "ortho_init": false, "optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>", "optimizer_kwargs": {"alpha": 0.99, "eps": 1e-05, "weight_decay": 0}}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [28], "low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf]", "high": "[inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf\n inf inf inf inf inf inf inf inf inf inf]", "bounded_below": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False]", "bounded_above": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False]", "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [8], "low": "[-1. -1. -1. -1. -1. -1. -1. -1.]", "high": "[1. 1. 1. 1. 1. 1. 1. 1.]", "bounded_below": "[ True True True True True True True True]", "bounded_above": "[ True True True True True True True True]", "_np_random": null}, "n_envs": 4, "num_timesteps": 2000000, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1675524532834137586, "learning_rate": 0.00096, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_episode_num": 0, "use_sde": true, "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": 62500, "n_steps": 8, "gamma": 0.99, "gae_lambda": 0.9, "ent_coef": 0.0, "vf_coef": 0.4, "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
ADDED
Binary file (830 kB). View file
|
|
results.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"mean_reward": 815.4094914412126, "std_reward": 177.12932884364642, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-02-04T16:32:49.126725"}
|
vec_normalize.pkl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0316a5ecfccb00c6f41f8537264ddaacc4febcd4d5a1a2e4d6c22f381a41961a
|
3 |
+
size 2136
|