CarlosGranados
commited on
Commit
•
2c231d9
1
Parent(s):
5699a40
new_model: PPO model trained for 5 and 2000000 steps
Browse files- README.md +37 -0
- config.json +1 -0
- ppo-LunarLander-v2.zip +3 -0
- ppo-LunarLander-v2/_stable_baselines3_version +1 -0
- ppo-LunarLander-v2/data +99 -0
- ppo-LunarLander-v2/policy.optimizer.pth +3 -0
- ppo-LunarLander-v2/policy.pth +3 -0
- ppo-LunarLander-v2/pytorch_variables.pth +3 -0
- ppo-LunarLander-v2/system_info.txt +8 -0
- results.json +1 -0
README.md
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: stable-baselines3
|
3 |
+
tags:
|
4 |
+
- LunarLander-v2
|
5 |
+
- deep-reinforcement-learning
|
6 |
+
- reinforcement-learning
|
7 |
+
- stable-baselines3
|
8 |
+
model-index:
|
9 |
+
- name: PPO
|
10 |
+
results:
|
11 |
+
- task:
|
12 |
+
type: reinforcement-learning
|
13 |
+
name: reinforcement-learning
|
14 |
+
dataset:
|
15 |
+
name: LunarLander-v2
|
16 |
+
type: LunarLander-v2
|
17 |
+
metrics:
|
18 |
+
- type: mean_reward
|
19 |
+
value: 273.50 +/- 13.18
|
20 |
+
name: mean_reward
|
21 |
+
verified: false
|
22 |
+
---
|
23 |
+
|
24 |
+
# **PPO** Agent playing **LunarLander-v2**
|
25 |
+
This is a trained model of a **PPO** agent playing **LunarLander-v2**
|
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 |
+
```
|
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 0x7fd9f70b0900>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fd9f70b09a0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fd9f70b0a40>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fd9f70b0ae0>", "_build": "<function ActorCriticPolicy._build at 0x7fd9f70b0b80>", "forward": "<function ActorCriticPolicy.forward at 0x7fd9f70b0c20>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fd9f70b0cc0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fd9f70b0d60>", "_predict": "<function ActorCriticPolicy._predict at 0x7fd9f70b0e00>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fd9f70b0ea0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fd9f70b0f40>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fd9f70b0fe0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7fd9f70acf80>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 2015232, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1719996029965288904, "learning_rate": 0.0003, "tensorboard_log": null, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVhAAAAAAAAACME251bXB5Ll9jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksQhZSMAUOUdJRSlC4="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.007616000000000067, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 615, "observation_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "bounded_below": "[ True True True True True True True True]", "bounded_above": "[ True True True True True True True True]", "_shape": [8], "low": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", "high": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", "low_repr": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", "high_repr": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", "_np_random": "Generator(PCG64)"}, "action_space": {":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", ":serialized:": "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", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": "Generator(PCG64)"}, "n_envs": 16, "n_steps": 1024, "gamma": 0.999, "gae_lambda": 0.98, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 5, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "system_info": {"OS": "Linux-5.15.153.1-microsoft-standard-WSL2-x86_64-with-glibc2.35 # 1 SMP Fri Mar 29 23:14:13 UTC 2024", "Python": "3.11.7", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.3.1+cu121", "GPU Enabled": "True", "Numpy": "2.0.0", "Cloudpickle": "3.0.0", "Gymnasium": "0.28.1"}}
|
ppo-LunarLander-v2.zip
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b594f2fce97cbd6b7a869dff95a20b828a58e2dc073ed3bbe74ea256fe33f386
|
3 |
+
size 149424
|
ppo-LunarLander-v2/_stable_baselines3_version
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
2.0.0a5
|
ppo-LunarLander-v2/data
ADDED
@@ -0,0 +1,99 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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 0x7fd9f70b0900>",
|
8 |
+
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fd9f70b09a0>",
|
9 |
+
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fd9f70b0a40>",
|
10 |
+
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fd9f70b0ae0>",
|
11 |
+
"_build": "<function ActorCriticPolicy._build at 0x7fd9f70b0b80>",
|
12 |
+
"forward": "<function ActorCriticPolicy.forward at 0x7fd9f70b0c20>",
|
13 |
+
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7fd9f70b0cc0>",
|
14 |
+
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fd9f70b0d60>",
|
15 |
+
"_predict": "<function ActorCriticPolicy._predict at 0x7fd9f70b0e00>",
|
16 |
+
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fd9f70b0ea0>",
|
17 |
+
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fd9f70b0f40>",
|
18 |
+
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7fd9f70b0fe0>",
|
19 |
+
"__abstractmethods__": "frozenset()",
|
20 |
+
"_abc_impl": "<_abc._abc_data object at 0x7fd9f70acf80>"
|
21 |
+
},
|
22 |
+
"verbose": 1,
|
23 |
+
"policy_kwargs": {},
|
24 |
+
"num_timesteps": 2015232,
|
25 |
+
"_total_timesteps": 2000000,
|
26 |
+
"_num_timesteps_at_start": 0,
|
27 |
+
"seed": null,
|
28 |
+
"action_noise": null,
|
29 |
+
"start_time": 1719996029965288904,
|
30 |
+
"learning_rate": 0.0003,
|
31 |
+
"tensorboard_log": null,
|
32 |
+
"_last_obs": {
|
33 |
+
":type:": "<class 'numpy.ndarray'>",
|
34 |
+
":serialized:": "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"
|
35 |
+
},
|
36 |
+
"_last_episode_starts": {
|
37 |
+
":type:": "<class 'numpy.ndarray'>",
|
38 |
+
":serialized:": "gAWVhAAAAAAAAACME251bXB5Ll9jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksQhZSMAUOUdJRSlC4="
|
39 |
+
},
|
40 |
+
"_last_original_obs": null,
|
41 |
+
"_episode_num": 0,
|
42 |
+
"use_sde": false,
|
43 |
+
"sde_sample_freq": -1,
|
44 |
+
"_current_progress_remaining": -0.007616000000000067,
|
45 |
+
"_stats_window_size": 100,
|
46 |
+
"ep_info_buffer": {
|
47 |
+
":type:": "<class 'collections.deque'>",
|
48 |
+
":serialized:": "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"
|
49 |
+
},
|
50 |
+
"ep_success_buffer": {
|
51 |
+
":type:": "<class 'collections.deque'>",
|
52 |
+
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
|
53 |
+
},
|
54 |
+
"_n_updates": 615,
|
55 |
+
"observation_space": {
|
56 |
+
":type:": "<class 'gymnasium.spaces.box.Box'>",
|
57 |
+
":serialized:": "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",
|
58 |
+
"dtype": "float32",
|
59 |
+
"bounded_below": "[ True True True True True True True True]",
|
60 |
+
"bounded_above": "[ True True True True True True True True]",
|
61 |
+
"_shape": [
|
62 |
+
8
|
63 |
+
],
|
64 |
+
"low": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]",
|
65 |
+
"high": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]",
|
66 |
+
"low_repr": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]",
|
67 |
+
"high_repr": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]",
|
68 |
+
"_np_random": "Generator(PCG64)"
|
69 |
+
},
|
70 |
+
"action_space": {
|
71 |
+
":type:": "<class 'gymnasium.spaces.discrete.Discrete'>",
|
72 |
+
":serialized:": "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",
|
73 |
+
"n": "4",
|
74 |
+
"start": "0",
|
75 |
+
"_shape": [],
|
76 |
+
"dtype": "int64",
|
77 |
+
"_np_random": "Generator(PCG64)"
|
78 |
+
},
|
79 |
+
"n_envs": 16,
|
80 |
+
"n_steps": 1024,
|
81 |
+
"gamma": 0.999,
|
82 |
+
"gae_lambda": 0.98,
|
83 |
+
"ent_coef": 0.01,
|
84 |
+
"vf_coef": 0.5,
|
85 |
+
"max_grad_norm": 0.5,
|
86 |
+
"batch_size": 64,
|
87 |
+
"n_epochs": 5,
|
88 |
+
"clip_range": {
|
89 |
+
":type:": "<class 'function'>",
|
90 |
+
":serialized:": "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"
|
91 |
+
},
|
92 |
+
"clip_range_vf": null,
|
93 |
+
"normalize_advantage": true,
|
94 |
+
"target_kl": null,
|
95 |
+
"lr_schedule": {
|
96 |
+
":type:": "<class 'function'>",
|
97 |
+
":serialized:": "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"
|
98 |
+
}
|
99 |
+
}
|
ppo-LunarLander-v2/policy.optimizer.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:654225fe9ace06777c94d2ae1b7b8582e0530a3284e5c07a54ea99b814b1db4f
|
3 |
+
size 88362
|
ppo-LunarLander-v2/policy.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:62ce5ec117b7b5b92b016fe128deeca1a060d32c83c34612e80644a95a322bda
|
3 |
+
size 43762
|
ppo-LunarLander-v2/pytorch_variables.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0c35cea3b2e60fb5e7e162d3592df775cd400e575a31c72f359fb9e654ab00c5
|
3 |
+
size 864
|
ppo-LunarLander-v2/system_info.txt
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
- OS: Linux-5.15.153.1-microsoft-standard-WSL2-x86_64-with-glibc2.35 # 1 SMP Fri Mar 29 23:14:13 UTC 2024
|
2 |
+
- Python: 3.11.7
|
3 |
+
- Stable-Baselines3: 2.0.0a5
|
4 |
+
- PyTorch: 2.3.1+cu121
|
5 |
+
- GPU Enabled: True
|
6 |
+
- Numpy: 2.0.0
|
7 |
+
- Cloudpickle: 3.0.0
|
8 |
+
- Gymnasium: 0.28.1
|
results.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"mean_reward": 273.5037729839372, "std_reward": 13.180901370880411, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-07-03T11:36:03.687695"}
|