Upload the PPO tarined Lunar Lander
Browse files- README.md +1 -1
- config.json +1 -1
- ppo_LunarLander-v2.zip +2 -2
- ppo_LunarLander-v2/data +9 -9
- ppo_LunarLander-v2/policy.optimizer.pth +1 -1
- ppo_LunarLander-v2/policy.pth +1 -1
- replay.mp4 +0 -0
- results.json +1 -1
README.md
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type: LunarLander-v2
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metrics:
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- type: mean_reward
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value:
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name: mean_reward
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verified: false
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---
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type: LunarLander-v2
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metrics:
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- type: mean_reward
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value: 240.93 +/- 13.98
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name: mean_reward
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verified: false
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---
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config.json
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{"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 0x79b24b0d0310>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x79b24b0d03a0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x79b24b0d0430>", 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It allows to keep variance\n above zero and prevent it from growing too fast. 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|
|
@@ -79,12 +79,12 @@
|
|
| 79 |
"n_envs": 4,
|
| 80 |
"n_steps": 2048,
|
| 81 |
"gamma": 0.999,
|
| 82 |
-
"gae_lambda": 0.
|
| 83 |
-
"ent_coef": 0.
|
| 84 |
"vf_coef": 0.5,
|
| 85 |
"max_grad_norm": 0.5,
|
| 86 |
"batch_size": 64,
|
| 87 |
-
"n_epochs":
|
| 88 |
"clip_range": {
|
| 89 |
":type:": "<class 'function'>",
|
| 90 |
":serialized:": "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"
|
|
@@ -94,6 +94,6 @@
|
|
| 94 |
"target_kl": null,
|
| 95 |
"lr_schedule": {
|
| 96 |
":type:": "<class 'function'>",
|
| 97 |
-
":serialized:": "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
|
| 98 |
}
|
| 99 |
}
|
|
|
|
| 26 |
"_num_timesteps_at_start": 0,
|
| 27 |
"seed": null,
|
| 28 |
"action_noise": null,
|
| 29 |
+
"start_time": 1727766418311946953,
|
| 30 |
+
"learning_rate": 0.0003,
|
| 31 |
"tensorboard_log": null,
|
| 32 |
"_last_obs": {
|
| 33 |
":type:": "<class 'numpy.ndarray'>",
|
| 34 |
+
":serialized:": "gAWV9QAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJaAAAAAAAAAADOlKj0bA6y8W2jEvBD0FT3BMBa+nuDkPQAAgD8AAIA/zY4nPMQKjT2+wi4+pBEFvuEkhT11V+Y5AAAAAAAAAAAzXIs+pEWWP4KMeD47NS6+PSSVPvKJ/b0AAAAAAAAAAAD36rxqdCA/aAMdPRCSaL7zuOA6WQEFvQAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwiGlIwBQ5R0lFKULg=="
|
| 35 |
},
|
| 36 |
"_last_episode_starts": {
|
| 37 |
":type:": "<class 'numpy.ndarray'>",
|
|
|
|
| 45 |
"_stats_window_size": 100,
|
| 46 |
"ep_info_buffer": {
|
| 47 |
":type:": "<class 'collections.deque'>",
|
| 48 |
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":serialized:": "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"
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| 49 |
},
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"ep_success_buffer": {
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| 52 |
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| 53 |
},
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"_n_updates": 492,
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"observation_space": {
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| 56 |
":type:": "<class 'gymnasium.spaces.box.Box'>",
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| 57 |
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| 79 |
"n_envs": 4,
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| 80 |
"n_steps": 2048,
|
| 81 |
"gamma": 0.999,
|
| 82 |
+
"gae_lambda": 0.98,
|
| 83 |
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"ent_coef": 0.01,
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| 84 |
"vf_coef": 0.5,
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| 85 |
"max_grad_norm": 0.5,
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| 86 |
"batch_size": 64,
|
| 87 |
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"n_epochs": 4,
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| 88 |
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":type:": "<class 'function'>",
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| 90 |
":serialized:": "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"
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| 94 |
"target_kl": null,
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| 95 |
"lr_schedule": {
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| 96 |
":type:": "<class 'function'>",
|
| 97 |
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|
| 98 |
}
|
| 99 |
}
|
ppo_LunarLander-v2/policy.optimizer.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 88362
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:3c9d28044a2483cdcaeec2ea5802e581be39099483f06bdce81e122f40258e3d
|
| 3 |
size 88362
|
ppo_LunarLander-v2/policy.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
-
oid sha256:
|
| 3 |
size 43762
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:59f1ff52d6c35ac3e289366522b8e2e9046e362a6010e7a7e0524c9584b63a98
|
| 3 |
size 43762
|
replay.mp4
ADDED
|
Binary file (181 kB). View file
|
|
|
results.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"mean_reward":
|
|
|
|
| 1 |
+
{"mean_reward": 240.925663, "std_reward": 13.979074623570758, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-10-01T15:16:02.963507"}
|