Upload PPO LunarLander-v2 trained agent
Browse files- README.md +36 -0
- config.json +1 -0
- ppo-LunarLander-v2.zip +3 -0
- ppo-LunarLander-v2/_stable_baselines3_version +1 -0
- ppo-LunarLander-v2/data +94 -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 +7 -0
- replay.mp4 +0 -0
- results.json +1 -0
README.md
ADDED
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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 |
+
- metrics:
|
12 |
+
- type: mean_reward
|
13 |
+
value: 173.53 +/- 59.72
|
14 |
+
name: mean_reward
|
15 |
+
task:
|
16 |
+
type: reinforcement-learning
|
17 |
+
name: reinforcement-learning
|
18 |
+
dataset:
|
19 |
+
name: LunarLander-v2
|
20 |
+
type: LunarLander-v2
|
21 |
+
---
|
22 |
+
|
23 |
+
# **PPO** Agent playing **LunarLander-v2**
|
24 |
+
This is a trained model of a **PPO** agent playing **LunarLander-v2**
|
25 |
+
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
|
26 |
+
|
27 |
+
## Usage (with Stable-baselines3)
|
28 |
+
TODO: Add your code
|
29 |
+
|
30 |
+
|
31 |
+
```python
|
32 |
+
from stable_baselines3 import ...
|
33 |
+
from huggingface_sb3 import load_from_hub
|
34 |
+
|
35 |
+
...
|
36 |
+
```
|
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 sde_net_arch: Network architecture for extracting features\n when using gSDE. If None, the latent features from the policy will be used.\n Pass an empty list to use the states as features.\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 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 0x7f10f1ba0200>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f10f1ba0290>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f10f1ba0320>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f10f1ba03b0>", "_build": "<function ActorCriticPolicy._build at 0x7f10f1ba0440>", "forward": "<function ActorCriticPolicy.forward at 0x7f10f1ba04d0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f10f1ba0560>", "_predict": "<function ActorCriticPolicy._predict at 0x7f10f1ba05f0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f10f1ba0680>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f10f1ba0710>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f10f1ba07a0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f10f1b781b0>"}, "verbose": 1, "policy_kwargs": {}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "shape": [8], "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]", "high": "[inf inf inf inf inf inf inf inf]", "bounded_below": "[False False False False False False False False]", "bounded_above": "[False False False False False False False False]", "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "gAWVgQAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwFc2hhcGWUKYwFZHR5cGWUjAVudW1weZRoB5OUjAJpOJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRijApfbnBfcmFuZG9tlE51Yi4=", "n": 4, "shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "num_timesteps": 507904, "_total_timesteps": 500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1660320595.3320777, "learning_rate": 0.0003, "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:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.015808000000000044, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 124, "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, "system_info": {"OS": "Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022", "Python": "3.7.13", "Stable-Baselines3": "1.6.0", "PyTorch": "1.12.0+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.17.3"}}
|
ppo-LunarLander-v2.zip
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f207f4a4086f516721ffa097c51f54a2600ed4fe566aedf8392e9f22b3696bf0
|
3 |
+
size 147138
|
ppo-LunarLander-v2/_stable_baselines3_version
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
1.6.0
|
ppo-LunarLander-v2/data
ADDED
@@ -0,0 +1,94 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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 sde_net_arch: Network architecture for extracting features\n when using gSDE. If None, the latent features from the policy will be used.\n Pass an empty list to use the states as features.\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 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 0x7f10f1ba0200>",
|
8 |
+
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f10f1ba0290>",
|
9 |
+
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f10f1ba0320>",
|
10 |
+
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f10f1ba03b0>",
|
11 |
+
"_build": "<function ActorCriticPolicy._build at 0x7f10f1ba0440>",
|
12 |
+
"forward": "<function ActorCriticPolicy.forward at 0x7f10f1ba04d0>",
|
13 |
+
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f10f1ba0560>",
|
14 |
+
"_predict": "<function ActorCriticPolicy._predict at 0x7f10f1ba05f0>",
|
15 |
+
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f10f1ba0680>",
|
16 |
+
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f10f1ba0710>",
|
17 |
+
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f10f1ba07a0>",
|
18 |
+
"__abstractmethods__": "frozenset()",
|
19 |
+
"_abc_impl": "<_abc_data object at 0x7f10f1b781b0>"
|
20 |
+
},
|
21 |
+
"verbose": 1,
|
22 |
+
"policy_kwargs": {},
|
23 |
+
"observation_space": {
|
24 |
+
":type:": "<class 'gym.spaces.box.Box'>",
|
25 |
+
":serialized:": "gAWVngEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBXNoYXBllEsIhZSMA2xvd5SMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAAAAgP8AAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/lGgKSwiFlIwBQ5R0lFKUjARoaWdolGgSKJYgAAAAAAAAAAAAgH8AAIB/AACAfwAAgH8AAIB/AACAfwAAgH8AAIB/lGgKSwiFlGgVdJRSlIwNYm91bmRlZF9iZWxvd5RoEiiWCAAAAAAAAAAAAAAAAAAAAJRoB4wCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksIhZRoFXSUUpSMDWJvdW5kZWRfYWJvdmWUaBIolggAAAAAAAAAAAAAAAAAAACUaCFLCIWUaBV0lFKUjApfbnBfcmFuZG9tlE51Yi4=",
|
26 |
+
"dtype": "float32",
|
27 |
+
"shape": [
|
28 |
+
8
|
29 |
+
],
|
30 |
+
"low": "[-inf -inf -inf -inf -inf -inf -inf -inf]",
|
31 |
+
"high": "[inf inf inf inf inf inf inf inf]",
|
32 |
+
"bounded_below": "[False False False False False False False False]",
|
33 |
+
"bounded_above": "[False False False False False False False False]",
|
34 |
+
"_np_random": null
|
35 |
+
},
|
36 |
+
"action_space": {
|
37 |
+
":type:": "<class 'gym.spaces.discrete.Discrete'>",
|
38 |
+
":serialized:": "gAWVgQAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwFc2hhcGWUKYwFZHR5cGWUjAVudW1weZRoB5OUjAJpOJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRijApfbnBfcmFuZG9tlE51Yi4=",
|
39 |
+
"n": 4,
|
40 |
+
"shape": [],
|
41 |
+
"dtype": "int64",
|
42 |
+
"_np_random": null
|
43 |
+
},
|
44 |
+
"n_envs": 16,
|
45 |
+
"num_timesteps": 507904,
|
46 |
+
"_total_timesteps": 500000,
|
47 |
+
"_num_timesteps_at_start": 0,
|
48 |
+
"seed": null,
|
49 |
+
"action_noise": null,
|
50 |
+
"start_time": 1660320595.3320777,
|
51 |
+
"learning_rate": 0.0003,
|
52 |
+
"tensorboard_log": null,
|
53 |
+
"lr_schedule": {
|
54 |
+
":type:": "<class 'function'>",
|
55 |
+
":serialized:": "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"
|
56 |
+
},
|
57 |
+
"_last_obs": {
|
58 |
+
":type:": "<class 'numpy.ndarray'>",
|
59 |
+
":serialized:": "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"
|
60 |
+
},
|
61 |
+
"_last_episode_starts": {
|
62 |
+
":type:": "<class 'numpy.ndarray'>",
|
63 |
+
":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
|
64 |
+
},
|
65 |
+
"_last_original_obs": null,
|
66 |
+
"_episode_num": 0,
|
67 |
+
"use_sde": false,
|
68 |
+
"sde_sample_freq": -1,
|
69 |
+
"_current_progress_remaining": -0.015808000000000044,
|
70 |
+
"ep_info_buffer": {
|
71 |
+
":type:": "<class 'collections.deque'>",
|
72 |
+
":serialized:": "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"
|
73 |
+
},
|
74 |
+
"ep_success_buffer": {
|
75 |
+
":type:": "<class 'collections.deque'>",
|
76 |
+
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
|
77 |
+
},
|
78 |
+
"_n_updates": 124,
|
79 |
+
"n_steps": 1024,
|
80 |
+
"gamma": 0.999,
|
81 |
+
"gae_lambda": 0.98,
|
82 |
+
"ent_coef": 0.01,
|
83 |
+
"vf_coef": 0.5,
|
84 |
+
"max_grad_norm": 0.5,
|
85 |
+
"batch_size": 64,
|
86 |
+
"n_epochs": 4,
|
87 |
+
"clip_range": {
|
88 |
+
":type:": "<class 'function'>",
|
89 |
+
":serialized:": "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"
|
90 |
+
},
|
91 |
+
"clip_range_vf": null,
|
92 |
+
"normalize_advantage": true,
|
93 |
+
"target_kl": null
|
94 |
+
}
|
ppo-LunarLander-v2/policy.optimizer.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:be1f87a004937fec6963dd0cefafeb8ca42e6d1d849f48a9742f762b6be3c2b6
|
3 |
+
size 87865
|
ppo-LunarLander-v2/policy.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c27e45e8a3b78ea2279e8ef51c970bb6962ce17797be15e25c4f4b066dbba6b8
|
3 |
+
size 43201
|
ppo-LunarLander-v2/pytorch_variables.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d030ad8db708280fcae77d87e973102039acd23a11bdecc3db8eb6c0ac940ee1
|
3 |
+
size 431
|
ppo-LunarLander-v2/system_info.txt
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
OS: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022
|
2 |
+
Python: 3.7.13
|
3 |
+
Stable-Baselines3: 1.6.0
|
4 |
+
PyTorch: 1.12.0+cu113
|
5 |
+
GPU Enabled: True
|
6 |
+
Numpy: 1.21.6
|
7 |
+
Gym: 0.17.3
|
replay.mp4
ADDED
Binary file (270 kB). View file
|
|
results.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"mean_reward": 173.52726466114774, "std_reward": 59.7208979719001, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-08-12T16:55:17.816361"}
|