HusseinEid
commited on
Commit
•
6a6c80d
1
Parent(s):
595da64
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 +8 -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: 290.51 +/- 20.06
|
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 0x00000176295A1360>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x00000176295A13F0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x00000176295A1480>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x00000176295A1510>", "_build": "<function ActorCriticPolicy._build at 0x00000176295A15A0>", "forward": "<function ActorCriticPolicy.forward at 0x00000176295A1630>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x00000176295A16C0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x00000176295A1750>", "_predict": "<function ActorCriticPolicy._predict at 0x00000176295A17E0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x00000176295A1870>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x00000176295A1900>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x00000176295A1990>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x000001762959B2C0>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 5013504, "_total_timesteps": 5000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1711148583651035700, "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": -0.0027007999999999477, "_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": 9180, "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": 30, "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": "Windows-10-10.0.22000-SP0 10.0.22000", "Python": "3.10.11", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.2.1+cpu", "GPU Enabled": "False", "Numpy": "1.26.4", "Cloudpickle": "3.0.0", "Gymnasium": "0.28.1"}}
|
ppo-LunarLander-v2.zip
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:587a712fb55bf1b76c471583d460faed238790b260c5dcd9e43ce8422716c4f6
|
3 |
+
size 147173
|
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 0x00000176295A1360>",
|
8 |
+
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x00000176295A13F0>",
|
9 |
+
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x00000176295A1480>",
|
10 |
+
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x00000176295A1510>",
|
11 |
+
"_build": "<function ActorCriticPolicy._build at 0x00000176295A15A0>",
|
12 |
+
"forward": "<function ActorCriticPolicy.forward at 0x00000176295A1630>",
|
13 |
+
"extract_features": "<function ActorCriticPolicy.extract_features at 0x00000176295A16C0>",
|
14 |
+
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x00000176295A1750>",
|
15 |
+
"_predict": "<function ActorCriticPolicy._predict at 0x00000176295A17E0>",
|
16 |
+
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x00000176295A1870>",
|
17 |
+
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x00000176295A1900>",
|
18 |
+
"predict_values": "<function ActorCriticPolicy.predict_values at 0x00000176295A1990>",
|
19 |
+
"__abstractmethods__": "frozenset()",
|
20 |
+
"_abc_impl": "<_abc._abc_data object at 0x000001762959B2C0>"
|
21 |
+
},
|
22 |
+
"verbose": 1,
|
23 |
+
"policy_kwargs": {},
|
24 |
+
"num_timesteps": 5013504,
|
25 |
+
"_total_timesteps": 5000000,
|
26 |
+
"_num_timesteps_at_start": 0,
|
27 |
+
"seed": null,
|
28 |
+
"action_noise": null,
|
29 |
+
"start_time": 1711148583651035700,
|
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": -0.0027007999999999477,
|
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": 9180,
|
55 |
+
"observation_space": {
|
56 |
+
":type:": "<class 'gymnasium.spaces.box.Box'>",
|
57 |
+
":serialized:": "gAWVdgIAAAAAAACMFGd5bW5hc2l1bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lIwFZHR5cGWUk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMDWJvdW5kZWRfYmVsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWCAAAAAAAAAABAQEBAQEBAZRoCIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksIhZSMAUOUdJRSlIwNYm91bmRlZF9hYm92ZZRoESiWCAAAAAAAAAABAQEBAQEBAZRoFUsIhZRoGXSUUpSMBl9zaGFwZZRLCIWUjANsb3eUaBEoliAAAAAAAAAAAAC0wgAAtMIAAKDAAACgwNsPScAAAKDAAAAAgAAAAICUaAtLCIWUaBl0lFKUjARoaWdolGgRKJYgAAAAAAAAAAAAtEIAALRCAACgQAAAoEDbD0lAAACgQAAAgD8AAIA/lGgLSwiFlGgZdJRSlIwIbG93X3JlcHKUjFtbLTkwLiAgICAgICAgLTkwLiAgICAgICAgIC01LiAgICAgICAgIC01LiAgICAgICAgIC0zLjE0MTU5MjcgIC01LgogIC0wLiAgICAgICAgIC0wLiAgICAgICBdlIwJaGlnaF9yZXBylIxTWzkwLiAgICAgICAgOTAuICAgICAgICAgNS4gICAgICAgICA1LiAgICAgICAgIDMuMTQxNTkyNyAgNS4KICAxLiAgICAgICAgIDEuICAgICAgIF2UjApfbnBfcmFuZG9tlE51Yi4=",
|
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": 30,
|
88 |
+
"clip_range": {
|
89 |
+
":type:": "<class 'function'>",
|
90 |
+
":serialized:": "gAWVaAIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMU2M6XFVzZXJzXExlbm92b1xEb3dubG9hZHNcLnZlbnZcbGliXHNpdGUtcGFja2FnZXNcc3RhYmxlX2Jhc2VsaW5lczNcY29tbW9uXHV0aWxzLnB5lIwEZnVuY5RLhEMCBAGUjAN2YWyUhZQpdJRSlH2UKIwLX19wYWNrYWdlX1+UjBhzdGFibGVfYmFzZWxpbmVzMy5jb21tb26UjAhfX25hbWVfX5SMHnN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi51dGlsc5SMCF9fZmlsZV9flGgMdU5OaACMEF9tYWtlX2VtcHR5X2NlbGyUk5QpUpSFlHSUUpRoAIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaB59lH2UKGgWaA2MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgXjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz/JmZmZmZmahZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"
|
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 sha256:3a4a4a7dedd3f4e99cb5197876d8cf73ecfd827a3bf6555679549843b7b172c1
|
3 |
+
size 87978
|
ppo-LunarLander-v2/policy.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bb3b4dd67c04b338a6cfec903400c40523c011841bf75ac82b99512fe778d631
|
3 |
+
size 43634
|
ppo-LunarLander-v2/pytorch_variables.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fb4dde0c1ad63b7740276006a06cc491b21b407ea6c889928c223ec77ddad79f
|
3 |
+
size 864
|
ppo-LunarLander-v2/system_info.txt
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
- OS: Windows-10-10.0.22000-SP0 10.0.22000
|
2 |
+
- Python: 3.10.11
|
3 |
+
- Stable-Baselines3: 2.0.0a5
|
4 |
+
- PyTorch: 2.2.1+cpu
|
5 |
+
- GPU Enabled: False
|
6 |
+
- Numpy: 1.26.4
|
7 |
+
- Cloudpickle: 3.0.0
|
8 |
+
- Gymnasium: 0.28.1
|
results.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"mean_reward": 290.5057408487225, "std_reward": 20.063278991850364, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-03-23T09:31:00.211613"}
|