Sebastian Schreiber
commited on
Commit
•
9ac5f68
1
Parent(s):
6b982fc
Push LunarLander-v2 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 +95 -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 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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: 272.25 +/- 17.83
|
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 0x7f3d6bfc41f0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f3d6bfc4280>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f3d6bfc4310>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f3d6bfc43a0>", "_build": "<function ActorCriticPolicy._build at 0x7f3d6bfc4430>", "forward": "<function ActorCriticPolicy.forward at 0x7f3d6bfc44c0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f3d6bfc4550>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f3d6bfc45e0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f3d6bfc4670>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f3d6bfc4700>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f3d6bfc4790>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f3d6bfc4820>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f3d6bfbf870>"}, "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:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", "n": 4, "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1677796499247675637, "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": 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, "system_info": {"OS": "Linux-5.10.147+-x86_64-with-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.8.10", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}
|
ppo-LunarLander-v2.zip
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c18c7fb3bab800d4223f8662d7aaf3c1311a01df9c0aa084b1e1f03d49fad77f
|
3 |
+
size 147364
|
ppo-LunarLander-v2/_stable_baselines3_version
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
1.7.0
|
ppo-LunarLander-v2/data
ADDED
@@ -0,0 +1,95 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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 0x7f3d6bfc41f0>",
|
8 |
+
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f3d6bfc4280>",
|
9 |
+
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f3d6bfc4310>",
|
10 |
+
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f3d6bfc43a0>",
|
11 |
+
"_build": "<function ActorCriticPolicy._build at 0x7f3d6bfc4430>",
|
12 |
+
"forward": "<function ActorCriticPolicy.forward at 0x7f3d6bfc44c0>",
|
13 |
+
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7f3d6bfc4550>",
|
14 |
+
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f3d6bfc45e0>",
|
15 |
+
"_predict": "<function ActorCriticPolicy._predict at 0x7f3d6bfc4670>",
|
16 |
+
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f3d6bfc4700>",
|
17 |
+
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f3d6bfc4790>",
|
18 |
+
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f3d6bfc4820>",
|
19 |
+
"__abstractmethods__": "frozenset()",
|
20 |
+
"_abc_impl": "<_abc_data object at 0x7f3d6bfbf870>"
|
21 |
+
},
|
22 |
+
"verbose": 1,
|
23 |
+
"policy_kwargs": {},
|
24 |
+
"observation_space": {
|
25 |
+
":type:": "<class 'gym.spaces.box.Box'>",
|
26 |
+
":serialized:": "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",
|
27 |
+
"dtype": "float32",
|
28 |
+
"_shape": [
|
29 |
+
8
|
30 |
+
],
|
31 |
+
"low": "[-inf -inf -inf -inf -inf -inf -inf -inf]",
|
32 |
+
"high": "[inf inf inf inf inf inf inf inf]",
|
33 |
+
"bounded_below": "[False False False False False False False False]",
|
34 |
+
"bounded_above": "[False False False False False False False False]",
|
35 |
+
"_np_random": null
|
36 |
+
},
|
37 |
+
"action_space": {
|
38 |
+
":type:": "<class 'gym.spaces.discrete.Discrete'>",
|
39 |
+
":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu",
|
40 |
+
"n": 4,
|
41 |
+
"_shape": [],
|
42 |
+
"dtype": "int64",
|
43 |
+
"_np_random": null
|
44 |
+
},
|
45 |
+
"n_envs": 16,
|
46 |
+
"num_timesteps": 1015808,
|
47 |
+
"_total_timesteps": 1000000,
|
48 |
+
"_num_timesteps_at_start": 0,
|
49 |
+
"seed": null,
|
50 |
+
"action_noise": null,
|
51 |
+
"start_time": 1677796499247675637,
|
52 |
+
"learning_rate": 0.0003,
|
53 |
+
"tensorboard_log": null,
|
54 |
+
"lr_schedule": {
|
55 |
+
":type:": "<class 'function'>",
|
56 |
+
":serialized:": "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"
|
57 |
+
},
|
58 |
+
"_last_obs": {
|
59 |
+
":type:": "<class 'numpy.ndarray'>",
|
60 |
+
":serialized:": "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"
|
61 |
+
},
|
62 |
+
"_last_episode_starts": {
|
63 |
+
":type:": "<class 'numpy.ndarray'>",
|
64 |
+
":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
|
65 |
+
},
|
66 |
+
"_last_original_obs": null,
|
67 |
+
"_episode_num": 0,
|
68 |
+
"use_sde": false,
|
69 |
+
"sde_sample_freq": -1,
|
70 |
+
"_current_progress_remaining": -0.015808000000000044,
|
71 |
+
"ep_info_buffer": {
|
72 |
+
":type:": "<class 'collections.deque'>",
|
73 |
+
":serialized:": "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"
|
74 |
+
},
|
75 |
+
"ep_success_buffer": {
|
76 |
+
":type:": "<class 'collections.deque'>",
|
77 |
+
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
|
78 |
+
},
|
79 |
+
"_n_updates": 248,
|
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 |
+
}
|
ppo-LunarLander-v2/policy.optimizer.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:441437471fcd5c7c3b0487352548ae6c06afc9b5d2feff29b614fcc6bb6b9b5e
|
3 |
+
size 87929
|
ppo-LunarLander-v2/policy.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:00b068c6a3ccd68107b1a10f5b0402e2124c01ab1c97de8ec156a43e1d2160f2
|
3 |
+
size 43393
|
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-5.10.147+-x86_64-with-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022
|
2 |
+
- Python: 3.8.10
|
3 |
+
- Stable-Baselines3: 1.7.0
|
4 |
+
- PyTorch: 1.13.1+cu116
|
5 |
+
- GPU Enabled: True
|
6 |
+
- Numpy: 1.22.4
|
7 |
+
- Gym: 0.21.0
|
replay.mp4
ADDED
Binary file (200 kB). View file
|
|
results.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"mean_reward": 272.2491105353387, "std_reward": 17.82692968539942, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-02T23:09:46.784236"}
|