JaimeArboleda commited on
Commit
dbcd38e
1 Parent(s): 727e2d8

Upload PPO LunarLander-v2 trained agent

Browse files
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: 248.90 +/- 22.08
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 0x7d4f9eed0ee0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7d4f9eed0f70>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7d4f9eed1000>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7d4f9eed1090>", "_build": "<function ActorCriticPolicy._build at 0x7d4f9eed1120>", "forward": "<function ActorCriticPolicy.forward at 0x7d4f9eed11b0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7d4f9eed1240>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7d4f9eed12d0>", "_predict": "<function ActorCriticPolicy._predict at 0x7d4f9eed1360>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7d4f9eed13f0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7d4f9eed1480>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7d4f9eed1510>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7d4f9ee73580>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1712155503725871178, "learning_rate": 0.0003, "tensorboard_log": null, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAgAAAAAAAM0U1zwpeGW6KpyBugmkabRGWXO6ZWSWOQAAgD8AAIA/M1cqPY9eFboW6XO5D5dOtGPvsbrmRo04AACAPwAAgD8AI6m89uxzutruUTqJdx01+zpqugPedbkAAIA/AACAP5qt6zzhhI26LbyAvBaAVjxkcIK6MiE6PQAAgD8AAIA/AFdoPQr3Sbmgj5S6pGxXtuvgBzuqd7I5AACAPwAAgD9aSoA9qdyTPpZlyr0XqGO+jJB9PAhayzwAAAAAAAAAALNHcj4B3CU/FtSgveIpkb5KjJ89+quavQAAAAAAAAAAZp5pO3IoFj6mYSG+1QcivvVc172uTFA8AAAAAAAAAADNxMA89jh5upTeSDtNFgE1tfHuuoAlaroAAIA/AACAP5op3brDqRm6l0KmOr4gpTW6ljg7+HDGuQAAgD8AAIA/pkCzvUgfg7p08L+5L/mXtfqkm7qDjgg1AAAAAAAAgD/QEYA+HdFfP+vivzxZwY++yFEbPrqBE74AAAAAAAAAAGZ+V7tcp2G6NDgFPJGLvTVKhi+7Cha4NAAAgD8AAIA/ZpQZvI8GWLpVcnw6sZkkNojGbrp1gpC5AACAPwAAgD/NnMi8j0pcuoSwhLvFpBU4fM0Su4aqNbYAAIA/AACAP+aYmL09qw+77gFMPBG1Kjxrrwy8CkwVPQAAgD8AAIA/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwiGlIwBQ5R0lFKULg=="}, "_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:": "gAWVdgIAAAAAAACMFGd5bW5hc2l1bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lIwFZHR5cGWUk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMDWJvdW5kZWRfYmVsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWCAAAAAAAAAABAQEBAQEBAZRoCIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksIhZSMAUOUdJRSlIwNYm91bmRlZF9hYm92ZZRoESiWCAAAAAAAAAABAQEBAQEBAZRoFUsIhZRoGXSUUpSMBl9zaGFwZZRLCIWUjANsb3eUaBEoliAAAAAAAAAAAAC0wgAAtMIAAKDAAACgwNsPScAAAKDAAAAAgAAAAICUaAtLCIWUaBl0lFKUjARoaWdolGgRKJYgAAAAAAAAAAAAtEIAALRCAACgQAAAoEDbD0lAAACgQAAAgD8AAIA/lGgLSwiFlGgZdJRSlIwIbG93X3JlcHKUjFtbLTkwLiAgICAgICAgLTkwLiAgICAgICAgIC01LiAgICAgICAgIC01LiAgICAgICAgIC0zLjE0MTU5MjcgIC01LgogIC0wLiAgICAgICAgIC0wLiAgICAgICBdlIwJaGlnaF9yZXBylIxTWzkwLiAgICAgICAgOTAuICAgICAgICAgNS4gICAgICAgICA1LiAgICAgICAgIDMuMTQxNTkyNyAgNS4KICAxLiAgICAgICAgIDEuICAgICAgIF2UjApfbnBfcmFuZG9tlE51Yi4=", "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-6.1.58+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sat Nov 18 15:31:17 UTC 2023", "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 sha256:5a969ff78690d6a1e9716765cc946a95415b5012b77652dbdaa64f8a85c46124
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 0x7d4f9eed0ee0>",
8
+ "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7d4f9eed0f70>",
9
+ "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7d4f9eed1000>",
10
+ "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7d4f9eed1090>",
11
+ "_build": "<function ActorCriticPolicy._build at 0x7d4f9eed1120>",
12
+ "forward": "<function ActorCriticPolicy.forward at 0x7d4f9eed11b0>",
13
+ "extract_features": "<function ActorCriticPolicy.extract_features at 0x7d4f9eed1240>",
14
+ "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7d4f9eed12d0>",
15
+ "_predict": "<function ActorCriticPolicy._predict at 0x7d4f9eed1360>",
16
+ "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7d4f9eed13f0>",
17
+ "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7d4f9eed1480>",
18
+ "predict_values": "<function ActorCriticPolicy.predict_values at 0x7d4f9eed1510>",
19
+ "__abstractmethods__": "frozenset()",
20
+ "_abc_impl": "<_abc._abc_data object at 0x7d4f9ee73580>"
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": 1712155503725871178,
30
+ "learning_rate": 0.0003,
31
+ "tensorboard_log": null,
32
+ "_last_obs": {
33
+ ":type:": "<class 'numpy.ndarray'>",
34
+ ":serialized:": "gAWVdQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAgAAAAAAAM0U1zwpeGW6KpyBugmkabRGWXO6ZWSWOQAAgD8AAIA/M1cqPY9eFboW6XO5D5dOtGPvsbrmRo04AACAPwAAgD8AI6m89uxzutruUTqJdx01+zpqugPedbkAAIA/AACAP5qt6zzhhI26LbyAvBaAVjxkcIK6MiE6PQAAgD8AAIA/AFdoPQr3Sbmgj5S6pGxXtuvgBzuqd7I5AACAPwAAgD9aSoA9qdyTPpZlyr0XqGO+jJB9PAhayzwAAAAAAAAAALNHcj4B3CU/FtSgveIpkb5KjJ89+quavQAAAAAAAAAAZp5pO3IoFj6mYSG+1QcivvVc172uTFA8AAAAAAAAAADNxMA89jh5upTeSDtNFgE1tfHuuoAlaroAAIA/AACAP5op3brDqRm6l0KmOr4gpTW6ljg7+HDGuQAAgD8AAIA/pkCzvUgfg7p08L+5L/mXtfqkm7qDjgg1AAAAAAAAgD/QEYA+HdFfP+vivzxZwY++yFEbPrqBE74AAAAAAAAAAGZ+V7tcp2G6NDgFPJGLvTVKhi+7Cha4NAAAgD8AAIA/ZpQZvI8GWLpVcnw6sZkkNojGbrp1gpC5AACAPwAAgD/NnMi8j0pcuoSwhLvFpBU4fM0Su4aqNbYAAIA/AACAP+aYmL09qw+77gFMPBG1Kjxrrwy8CkwVPQAAgD8AAIA/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwiGlIwBQ5R0lFKULg=="
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:": "gAWVQAwAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpRHQGAx0L+glGCMAWyUTegDjAF0lEdAmVbBYFJQL3V9lChoBkdAXYVvkzXSSmgHTegDaAhHQJlW1M23rlh1fZQoaAZHQF60TxG2CuloB03oA2gIR0CZXxLgn+hodX2UKGgGR0BioozzmOlwaAdN6ANoCEdAmWGcpgCwKXV9lChoBkdAYWf8AJb+tWgHTegDaAhHQJlotDCxeLN1fZQoaAZHQGLm0BOpKjBoB03oA2gIR0CZbEowmE5AdX2UKGgGR0Bl2OWIGhVVaAdN6ANoCEdAmWzhZdOZcHV9lChoBkdAYu/Ms6JZXGgHTegDaAhHQJltcnndO7B1fZQoaAZHQGEuMsg+yJNoB03oA2gIR0CZbos0pEx7dX2UKGgGR0BjF7Ve8f3faAdN6ANoCEdAmXJewX668XV9lChoBkdAYmOvGp++d2gHTegDaAhHQJl0YYbbUPR1fZQoaAZHQF7LWZ7XxvxoB03oA2gIR0CZdrHbypaSdX2UKGgGR0BjodmBe5WjaAdN6ANoCEdAmZIyLyc0+HV9lChoBkdAZUv8jzI3i2gHTegDaAhHQJmU3OdGy5Z1fZQoaAZHQGPFUaAFxGVoB03oA2gIR0CZmhZEDyOJdX2UKGgGR0Bglr2tdRixaAdN6ANoCEdAmZuZEH+qBHV9lChoBkdAZvNlYEGJN2gHTegDaAhHQJmllb3XZoR1fZQoaAZHQGFtZZbILgJoB03oA2gIR0CZpaib2Dg7dX2UKGgGR0AYIDKYAsClaAdNCgFoCEdAma61mapgkXV9lChoBkdAZUjBUrCm/GgHTegDaAhHQJmv+7Ackt51fZQoaAZHQGcRPYnOSntoB03oA2gIR0CZsrTfixVydX2UKGgGR0BlR1mJ3xFzaAdN6ANoCEdAmbnM1KoQ4HV9lChoBkdAZCpxXGOuJWgHTegDaAhHQJm9iBoVVPx1fZQoaAZHQGL85E2HclBoB03oA2gIR0CZvizCk43ndX2UKGgGR0BliBr1uivgaAdN6ANoCEdAmb7EVi4J/3V9lChoBkdAYt7hVlwtKGgHTegDaAhHQJnACrzXjEN1fZQoaAZHQF0TVmz0HyFoB03oA2gIR0CZxDNe+mFbdX2UKGgGR0Bh9FUwSJ0oaAdN6ANoCEdAmcZ0b5uZTnV9lChoBkdAYVn9wWFewGgHTegDaAhHQJnJJy7wrlN1fZQoaAZHQEt+rgflp49oB0vgaAhHQJnRJEG7jDN1fZQoaAZHQGSoj94u9OBoB03oA2gIR0CZ5SFERaoudX2UKGgGR0BlPyJfpljFaAdN6ANoCEdAmegMXFcY7HV9lChoBkdAYpOpNsWO62gHTegDaAhHQJntk9nscAB1fZQoaAZHQFOnFaSs8xNoB0vxaAhHQJn38QwsXi11fZQoaAZHQGT/gUUO/cpoB03oA2gIR0CZ+W+g13t8dX2UKGgGR0BmEvUc4o7WaAdN6ANoCEdAmfmC57PY4HV9lChoBkdAZdOpo9LYgGgHTegDaAhHQJoATq6e5Fx1fZQoaAZHQGBYVDjR2KVoB03oA2gIR0CaARV7hNucdX2UKGgGR0BjCBSaVlf7aAdN6ANoCEdAmgOOKGcnV3V9lChoBkdAYk9NRm9QGmgHTegDaAhHQJoLC2KEWZZ1fZQoaAZHQGNJZZjhDPZoB03oA2gIR0CaD/6eoUBXdX2UKGgGR0BfJPtD2JzlaAdN6ANoCEdAmhC2fTTfBXV9lChoBkdAYmAKgqVhTmgHTegDaAhHQJoRSKvV3EB1fZQoaAZHQGBTt6w+t8xoB03oA2gIR0CaEoFxXGOudX2UKGgGR0BjYdmYjSogaAdN6ANoCEdAmhkD/6wdKnV9lChoBkdAY1TKKYRdyGgHTegDaAhHQJobucYqG1x1fZQoaAZHQErW3lS0jTtoB0viaAhHQJodHBeokzJ1fZQoaAZHQGb+WqcVgx9oB03oA2gIR0CaIxYjB2wFdX2UKGgGR0BhhXVy3kPuaAdN6ANoCEdAmiPfcN6PbXV9lChoBkdASfY8dPtUoGgHS9hoCEdAmjbMibDuSnV9lChoBkdAZXBNVzZHu2gHTegDaAhHQJo+fNKRMex1fZQoaAZHQGKDoWP91lpoB03oA2gIR0CaSJy4FzMidX2UKGgGR0BHllV94NZvaAdNHgFoCEdAmkivGdZq23V9lChoBkdAZlkHTI/7i2gHTegDaAhHQJpJ5tUGVzJ1fZQoaAZHQGbNLWy1NQFoB03oA2gIR0CaSfgeRxLkdX2UKGgGR0BnATtRekYXaAdN6ANoCEdAmlAULH+6y3V9lChoBkdAY1UhOgxrSGgHTegDaAhHQJpQ0vL5h0B1fZQoaAZHQGMCxtP557hoB03oA2gIR0CaUsIv8IiUdX2UKGgGR0BxUVgw482aaAdNfANoCEdAmlgf+0gKW3V9lChoBkdAZdOixFAmiWgHTegDaAhHQJpYemygPEt1fZQoaAZHQGT1QiRnvlVoB03oA2gIR0CaW3wcYIjXdX2UKGgGR0BkXVOymhugaAdN6ANoCEdAmlyDo2XLNnV9lChoBkdAaKp/0dzXBmgHTegDaAhHQJpnEL4N7Sl1fZQoaAZHQGQfK20AtFtoB03oA2gIR0CaaKQNkOI7dX2UKGgGR0BDYvfCQ9zPaAdNCwFoCEdAmms0l7dBSnV9lChoBkdAYrCEOAiFCmgHTegDaAhHQJpxRSpBHCp1fZQoaAZHQF64Xsw+MZRoB03oA2gIR0Caczkmx+rmdX2UKGgGR0BkwjwvxpcpaAdN6ANoCEdAmorPbCaZyHV9lChoBkdAZUgZXMhX82gHTegDaAhHQJqUtAgPmPp1fZQoaAZHQF/QfA9FF2FoB03oA2gIR0CalMZSvTw2dX2UKGgGR0Bmaa7oSteVaAdN6ANoCEdAmpYK99MK1HV9lChoBkdAXq+6nR9gGGgHTegDaAhHQJqWHRsuWbB1fZQoaAZHQFvGeRxLkCFoB03oA2gIR0Cane2kBS1mdX2UKGgGR0BiWOsT37DVaAdN6ANoCEdAmp8Ohf0Eo3V9lChoBkdAYTWd3jdYXGgHTegDaAhHQJqh2Btk4FR1fZQoaAZHQGII2OIZZSxoB03oA2gIR0Cap4jUNKAbdX2UKGgGR0Bh5NKRMewLaAdN6ANoCEdAmqflXJYDDHV9lChoBkdAYeHBeHBUJmgHTegDaAhHQJqsAcebNKR1fZQoaAZHQEJtiPyTY/VoB00JAWgIR0Cath81n/T9dX2UKGgGR0Be5wAAAAAAaAdN6ANoCEdAmrbP/BFd9nV9lChoBkdAYTtSVGCqZWgHTegDaAhHQJq4SC+UQkJ1fZQoaAZHQGG7AA6uGK1oB03oA2gIR0CaugG7z06HdX2UKGgGR0Bh+DZYgaFVaAdN6ANoCEdAmr4qQmu1W3V9lChoBkdAY7crGR3eN2gHTegDaAhHQJrABm8M/hV1fZQoaAZHQGKj5BTn7pFoB03oA2gIR0Ca2P4RVZLadX2UKGgGR0BmZfLidat+aAdN6ANoCEdAmuKSprDZUXV9lChoBkdAYcENb1RLsmgHTegDaAhHQJrip3ljmS11fZQoaAZHQF/Y4vN/vv1oB03oA2gIR0Ca4/CU5dWydX2UKGgGR0BjvuFg2IfsaAdN6ANoCEdAmuQI+B6KL3V9lChoBkdAZ/2Lgn+hoWgHTegDaAhHQJrqafWcz691fZQoaAZHQGWZdi2DxsloB03oA2gIR0Ca6zbLU1AJdX2UKGgGR0Bl+DUI9kjHaAdN6ANoCEdAmu2KoMrmQ3V9lChoBkdAYLzbwBo242gHTegDaAhHQJr0aLXL/0d1fZQoaAZHQGL6qFZgXuVoB03oA2gIR0Ca+VyWiUPhdX2UKGgGR0Bj1LwhGH58aAdN6ANoCEdAmwew0Kqn33V9lChoBkdAYS5ubZvkzWgHTegDaAhHQJsIc80UGml1fZQoaAZHQGSy6WX1J19oB03oA2gIR0CbCjuTA31jdX2UKGgGR0BggWzKLbYcaAdN6ANoCEdAmwxRyXD3unV9lChoBkdAZIem/Firk2gHTegDaAhHQJsRSSRr8BN1fZQoaAZHQFvsvYvnKW9oB03oA2gIR0CbE1gvDgqFdWUu"
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 sha256:5dd9881c838e1ccb0cce17ffa54a71dd7865a7b90bf537a59285d16e87895c5a
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:a3b8038a49afdfe988ea70342a84c2e0056bf7c2fa540f894b8ba5850f33970d
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-6.1.58+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sat Nov 18 15:31:17 UTC 2023
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 (161 kB). View file
 
results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"mean_reward": 248.90182174433284, "std_reward": 22.082832216980812, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-04-03T15:10:19.388238"}