prafulmaka
commited on
Commit
•
3749cf1
1
Parent(s):
b351ce6
Upload PPO LunarLander-v2 trained agent
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: 247.95 +/- 70.60
|
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 0x7f56a0e5eef0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f56a0e5ef80>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f56a0e5f010>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f56a0e5f0a0>", "_build": "<function ActorCriticPolicy._build at 0x7f56a0e5f130>", "forward": "<function ActorCriticPolicy.forward at 0x7f56a0e5f1c0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f56a0e5f250>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f56a0e5f2e0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f56a0e5f370>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f56a0e5f400>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f56a0e5f490>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f56a0e5f520>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f56a0dfa7c0>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1724279072338936711, "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 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 sha256:21039d269302f6bd65b5fee60ef8f8176b046ca7a453840be2fdf037e7d46b91
|
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 0x7f56a0e5eef0>",
|
8 |
+
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f56a0e5ef80>",
|
9 |
+
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f56a0e5f010>",
|
10 |
+
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f56a0e5f0a0>",
|
11 |
+
"_build": "<function ActorCriticPolicy._build at 0x7f56a0e5f130>",
|
12 |
+
"forward": "<function ActorCriticPolicy.forward at 0x7f56a0e5f1c0>",
|
13 |
+
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7f56a0e5f250>",
|
14 |
+
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f56a0e5f2e0>",
|
15 |
+
"_predict": "<function ActorCriticPolicy._predict at 0x7f56a0e5f370>",
|
16 |
+
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f56a0e5f400>",
|
17 |
+
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f56a0e5f490>",
|
18 |
+
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f56a0e5f520>",
|
19 |
+
"__abstractmethods__": "frozenset()",
|
20 |
+
"_abc_impl": "<_abc._abc_data object at 0x7f56a0dfa7c0>"
|
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": 1724279072338936711,
|
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:da90db8fb25ac5473b65e7d7702c0b68ded7bc0335cfb5cbf749b20522c60430
|
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:d551925966419ef53282034f607c39db5b768b3b733473e222ece3aa54b34e28
|
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 (148 kB). View file
|
|
results.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"mean_reward": 247.95031173642593, "std_reward": 70.59955370746226, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-08-21T22:54:35.191283"}
|