Commit
•
f669b81
1
Parent(s):
46e78cd
Upload first model
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 +9 -0
- replay.mp4 +0 -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: 246.84 +/- 19.22
|
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 0x7b2ed60c48b0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7b2ed60c4940>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7b2ed60c49d0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7b2ed60c4a60>", "_build": "<function ActorCriticPolicy._build at 0x7b2ed60c4af0>", "forward": "<function ActorCriticPolicy.forward at 0x7b2ed60c4b80>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7b2ed60c4c10>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7b2ed60c4ca0>", "_predict": "<function ActorCriticPolicy._predict at 0x7b2ed60c4d30>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7b2ed60c4dc0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7b2ed60c4e50>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7b2ed60c4ee0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7b2ed606aac0>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 114688, "_total_timesteps": 100000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1714814049669339584, "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:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.1468799999999999, "_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": 210, "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": null}, "action_space": {":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", ":serialized:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "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": 4, "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-6.1.58+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sat Nov 18 15:31:17 UTC 2023", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.2.1+cu121", "GPU Enabled": "True", "Numpy": "1.25.2", "Cloudpickle": "2.2.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}}
|
ppo-LunarLander-v2.zip
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:87cb9c7354e0cd8b764d4b411b1e27f8cee0aea3e4cfe81b6a530c63c77eacf4
|
3 |
+
size 148076
|
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 0x7b2ed60c48b0>",
|
8 |
+
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7b2ed60c4940>",
|
9 |
+
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7b2ed60c49d0>",
|
10 |
+
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7b2ed60c4a60>",
|
11 |
+
"_build": "<function ActorCriticPolicy._build at 0x7b2ed60c4af0>",
|
12 |
+
"forward": "<function ActorCriticPolicy.forward at 0x7b2ed60c4b80>",
|
13 |
+
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7b2ed60c4c10>",
|
14 |
+
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7b2ed60c4ca0>",
|
15 |
+
"_predict": "<function ActorCriticPolicy._predict at 0x7b2ed60c4d30>",
|
16 |
+
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7b2ed60c4dc0>",
|
17 |
+
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7b2ed60c4e50>",
|
18 |
+
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7b2ed60c4ee0>",
|
19 |
+
"__abstractmethods__": "frozenset()",
|
20 |
+
"_abc_impl": "<_abc._abc_data object at 0x7b2ed606aac0>"
|
21 |
+
},
|
22 |
+
"verbose": 1,
|
23 |
+
"policy_kwargs": {},
|
24 |
+
"num_timesteps": 114688,
|
25 |
+
"_total_timesteps": 100000,
|
26 |
+
"_num_timesteps_at_start": 0,
|
27 |
+
"seed": null,
|
28 |
+
"action_noise": null,
|
29 |
+
"start_time": 1714814049669339584,
|
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:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
|
39 |
+
},
|
40 |
+
"_last_original_obs": null,
|
41 |
+
"_episode_num": 0,
|
42 |
+
"use_sde": false,
|
43 |
+
"sde_sample_freq": -1,
|
44 |
+
"_current_progress_remaining": -0.1468799999999999,
|
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": 210,
|
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": null
|
69 |
+
},
|
70 |
+
"action_space": {
|
71 |
+
":type:": "<class 'gymnasium.spaces.discrete.Discrete'>",
|
72 |
+
":serialized:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=",
|
73 |
+
"n": "4",
|
74 |
+
"start": "0",
|
75 |
+
"_shape": [],
|
76 |
+
"dtype": "int64",
|
77 |
+
"_np_random": null
|
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": 4,
|
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:dc5b50780a78d2d896d14ff51eca6bf2432d9f8472c96334d9c856429dce7fb3
|
3 |
+
size 88362
|
ppo-LunarLander-v2/policy.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0de47a9d9354f411f5acc38c9001092de003fefba5a8295d5c490f6f0f63cb58
|
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 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
- OS: Linux-6.1.58+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sat Nov 18 15:31:17 UTC 2023
|
2 |
+
- Python: 3.10.12
|
3 |
+
- Stable-Baselines3: 2.0.0a5
|
4 |
+
- PyTorch: 2.2.1+cu121
|
5 |
+
- GPU Enabled: True
|
6 |
+
- Numpy: 1.25.2
|
7 |
+
- Cloudpickle: 2.2.1
|
8 |
+
- Gymnasium: 0.28.1
|
9 |
+
- OpenAI Gym: 0.25.2
|
replay.mp4
ADDED
Binary file (193 kB). View file
|
|
results.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"mean_reward": 246.8370904, "std_reward": 19.21591077756196, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-05-04T09:23:27.204671"}
|