siddharth2050
commited on
Commit
•
e217418
1
Parent(s):
82b735e
Upload folder using huggingface_hub
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: 255.43 +/- 17.25
|
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 0x7fb25f05d120>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fb25f05d1b0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fb25f05d240>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fb25f05d2d0>", "_build": "<function ActorCriticPolicy._build at 0x7fb25f05d360>", "forward": "<function ActorCriticPolicy.forward at 0x7fb25f05d3f0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fb25f05d480>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fb25f05d510>", "_predict": "<function ActorCriticPolicy._predict at 0x7fb25f05d5a0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fb25f05d630>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fb25f05d6c0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fb25f05d750>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7fb25effd380>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1715965536061805813, "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, "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-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sun Apr 28 14:29:16 UTC 2024", "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 sha256:9a4e6cdee8b23c4182f1cd5b4cf2bfbfe5904c2ce459952184e6ce8104f25ebd
|
3 |
+
size 148080
|
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 0x7fb25f05d120>",
|
8 |
+
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fb25f05d1b0>",
|
9 |
+
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fb25f05d240>",
|
10 |
+
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fb25f05d2d0>",
|
11 |
+
"_build": "<function ActorCriticPolicy._build at 0x7fb25f05d360>",
|
12 |
+
"forward": "<function ActorCriticPolicy.forward at 0x7fb25f05d3f0>",
|
13 |
+
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7fb25f05d480>",
|
14 |
+
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fb25f05d510>",
|
15 |
+
"_predict": "<function ActorCriticPolicy._predict at 0x7fb25f05d5a0>",
|
16 |
+
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fb25f05d630>",
|
17 |
+
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fb25f05d6c0>",
|
18 |
+
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7fb25f05d750>",
|
19 |
+
"__abstractmethods__": "frozenset()",
|
20 |
+
"_abc_impl": "<_abc._abc_data object at 0x7fb25effd380>"
|
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": 1715965536061805813,
|
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 |
+
"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 sha256:1dc6e1024f60648d2e52b66b9ac67215d9e63e54c1be621f25e8ec77aaf48c14
|
3 |
+
size 88362
|
ppo-LunarLander-v2/policy.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5ca9698380b2995723d223ca3003f18a9cc53a7df310dd7b9164890b2de42da2
|
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 Sun Apr 28 14:29:16 UTC 2024
|
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 (174 kB). View file
|
|
results.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"mean_reward": 255.4327324, "std_reward": 17.247951583804518, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-05-17T17:35:25.514372"}
|