Commit
•
9dfda57
1
Parent(s):
3325ab3
First commit
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: 271.63 +/- 13.52
|
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 0x7cab48815fc0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7cab48816050>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7cab488160e0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7cab48816170>", "_build": "<function ActorCriticPolicy._build at 0x7cab48816200>", "forward": "<function ActorCriticPolicy.forward at 0x7cab48816290>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7cab48816320>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7cab488163b0>", "_predict": "<function ActorCriticPolicy._predict at 0x7cab48816440>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7cab488164d0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7cab48816560>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7cab488165f0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7cab487c0200>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1722793799457319337, "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": -0.015808000000000044, "_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": 248, "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, "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:": "gAWV/QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgLjAJpOJSJiIeUUpQoSwNoD05OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "system_info": {"OS": "Linux-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Thu Jun 27 21:05:47 UTC 2024", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.3.1+cu121", "GPU Enabled": "True", "Numpy": "1.26.4", "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:d5b6235ab83da284c6bd87349120aced32120b1c00b793fac4d9a5441946f465
|
3 |
+
size 148240
|
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 0x7cab48815fc0>",
|
8 |
+
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7cab48816050>",
|
9 |
+
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7cab488160e0>",
|
10 |
+
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7cab48816170>",
|
11 |
+
"_build": "<function ActorCriticPolicy._build at 0x7cab48816200>",
|
12 |
+
"forward": "<function ActorCriticPolicy.forward at 0x7cab48816290>",
|
13 |
+
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7cab48816320>",
|
14 |
+
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7cab488163b0>",
|
15 |
+
"_predict": "<function ActorCriticPolicy._predict at 0x7cab48816440>",
|
16 |
+
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7cab488164d0>",
|
17 |
+
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7cab48816560>",
|
18 |
+
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7cab488165f0>",
|
19 |
+
"__abstractmethods__": "frozenset()",
|
20 |
+
"_abc_impl": "<_abc._abc_data object at 0x7cab487c0200>"
|
21 |
+
},
|
22 |
+
"verbose": 1,
|
23 |
+
"policy_kwargs": {},
|
24 |
+
"num_timesteps": 1015808,
|
25 |
+
"_total_timesteps": 1000000,
|
26 |
+
"_num_timesteps_at_start": 0,
|
27 |
+
"seed": null,
|
28 |
+
"action_noise": null,
|
29 |
+
"start_time": 1722793799457319337,
|
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": -0.015808000000000044,
|
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": 248,
|
55 |
+
"n_steps": 1024,
|
56 |
+
"gamma": 0.999,
|
57 |
+
"gae_lambda": 0.98,
|
58 |
+
"ent_coef": 0.01,
|
59 |
+
"vf_coef": 0.5,
|
60 |
+
"max_grad_norm": 0.5,
|
61 |
+
"batch_size": 64,
|
62 |
+
"n_epochs": 4,
|
63 |
+
"clip_range": {
|
64 |
+
":type:": "<class 'function'>",
|
65 |
+
":serialized:": "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"
|
66 |
+
},
|
67 |
+
"clip_range_vf": null,
|
68 |
+
"normalize_advantage": true,
|
69 |
+
"target_kl": null,
|
70 |
+
"observation_space": {
|
71 |
+
":type:": "<class 'gymnasium.spaces.box.Box'>",
|
72 |
+
":serialized:": "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",
|
73 |
+
"dtype": "float32",
|
74 |
+
"bounded_below": "[ True True True True True True True True]",
|
75 |
+
"bounded_above": "[ True True True True True True True True]",
|
76 |
+
"_shape": [
|
77 |
+
8
|
78 |
+
],
|
79 |
+
"low": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]",
|
80 |
+
"high": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]",
|
81 |
+
"low_repr": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]",
|
82 |
+
"high_repr": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]",
|
83 |
+
"_np_random": null
|
84 |
+
},
|
85 |
+
"action_space": {
|
86 |
+
":type:": "<class 'gymnasium.spaces.discrete.Discrete'>",
|
87 |
+
":serialized:": "gAWV/QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgLjAJpOJSJiIeUUpQoSwNoD05OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu",
|
88 |
+
"n": "4",
|
89 |
+
"start": "0",
|
90 |
+
"_shape": [],
|
91 |
+
"dtype": "int64",
|
92 |
+
"_np_random": null
|
93 |
+
},
|
94 |
+
"n_envs": 16,
|
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 sha256:3415b991e684c6e062559bb350762556312a54018135a061ef68dfda756594f8
|
3 |
+
size 88490
|
ppo-LunarLander-v2/policy.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:84c7b9f1e77465ab64ce0c1a0eddab575a22dd3746c95fbda67f7830a0d72524
|
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-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Thu Jun 27 21:05:47 UTC 2024
|
2 |
+
- Python: 3.10.12
|
3 |
+
- Stable-Baselines3: 2.0.0a5
|
4 |
+
- PyTorch: 2.3.1+cu121
|
5 |
+
- GPU Enabled: True
|
6 |
+
- Numpy: 1.26.4
|
7 |
+
- Cloudpickle: 2.2.1
|
8 |
+
- Gymnasium: 0.28.1
|
9 |
+
- OpenAI Gym: 0.25.2
|
replay.mp4
ADDED
Binary file (182 kB). View file
|
|
results.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"mean_reward": 271.6328558, "std_reward": 13.518523468355644, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-08-04T18:32:58.388450"}
|