Upload PPO LunarLander-v2 trained agent with original parameters

README.md

@@ -0,0 +1,36 @@
+---
+library_name: stable-baselines3
+tags:
+- LunarLander-v2
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: PPO
+  results:
+  - metrics:
+    - type: mean_reward
+      value: 220.14 +/- 76.20
+      name: mean_reward
+    task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: LunarLander-v2
+      type: LunarLander-v2
+---
+
+# **PPO** Agent playing **LunarLander-v2**
+This is a trained model of a **PPO** agent playing **LunarLander-v2**
+using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
+
+## Usage (with Stable-baselines3)
+TODO: Add your code
+
+
+```python
+from stable_baselines3 import ...
+from huggingface_sb3 import load_from_hub
+
+...
+```

config.json

@@ -0,0 +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 sde_net_arch: Network architecture for extracting features\n        when using gSDE. If None, the latent features from the policy will be used.\n        Pass an empty list to use the states as features.\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 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 0x7f13cfbcac20>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f13cfbcacb0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f13cfbcad40>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f13cfbcadd0>", "_build": "<function ActorCriticPolicy._build at 0x7f13cfbcae60>", "forward": "<function ActorCriticPolicy.forward at 0x7f13cfbcaef0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f13cfbcaf80>", "_predict": "<function ActorCriticPolicy._predict at 0x7f13cfbd2050>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f13cfbd20e0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f13cfbd2170>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f13cfbd2200>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f13cfba70f0>"}, "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": "RandomState(MT19937)"}, "action_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", "n": 4, "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 1, "num_timesteps": 500736, "_total_timesteps": 500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1660504133.7505505, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAMoBgL6Rq6I9mAAWPp7jXb4tYZK7YfXIPQAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwiGlIwBQ5R0lFKULg=="}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.0014719999999999178, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 1956, "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-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022", "Python": "3.7.13", "Stable-Baselines3": "1.6.0", "PyTorch": "1.12.1+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}

ppo-LunarLander-v2.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c9183a9f814f5820a13f3fe3a62aa164aa3d27d7e8db6ccae10f904771525dbf
+size 150103

ppo-LunarLander-v2/_stable_baselines3_version

@@ -0,0 +1 @@
+1.6.0

ppo-LunarLander-v2/data

@@ -0,0 +1,94 @@
+{
+    "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 sde_net_arch: Network architecture for extracting features\n        when using gSDE. If None, the latent features from the policy will be used.\n        Pass an empty list to use the states as features.\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 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 0x7f13cfbcac20>",
+        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f13cfbcacb0>",
+        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f13cfbcad40>",
+        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f13cfbcadd0>",
+        "_build": "<function ActorCriticPolicy._build at 0x7f13cfbcae60>",
+        "forward": "<function ActorCriticPolicy.forward at 0x7f13cfbcaef0>",
+        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f13cfbcaf80>",
+        "_predict": "<function ActorCriticPolicy._predict at 0x7f13cfbd2050>",
+        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f13cfbd20e0>",
+        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f13cfbd2170>",
+        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f13cfbd2200>",
+        "__abstractmethods__": "frozenset()",
+        "_abc_impl": "<_abc_data object at 0x7f13cfba70f0>"
+    },
+    "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": "RandomState(MT19937)"
+    },
+    "action_space": {
+        ":type:": "<class 'gym.spaces.discrete.Discrete'>",
+        ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu",
+        "n": 4,
+        "_shape": [],
+        "dtype": "int64",
+        "_np_random": null
+    },
+    "n_envs": 1,
+    "num_timesteps": 500736,
+    "_total_timesteps": 500000,
+    "_num_timesteps_at_start": 0,
+    "seed": null,
+    "action_noise": null,
+    "start_time": 1660504133.7505505,
+    "learning_rate": 0.0003,
+    "tensorboard_log": null,
+    "lr_schedule": {
+        ":type:": "<class 'function'>",
+        ":serialized:": "gAWVwQIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsBSwFLE0MEiABTAJROhZQpjAFflIWUjEgvdXNyL2xvY2FsL2xpYi9weXRob24zLjcvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuAQwIAAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjEgvdXNyL2xvY2FsL2xpYi9weXRob24zLjcvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUdU5OaACMEF9tYWtlX2VtcHR5X2NlbGyUk5QpUpSFlHSUUpSMHGNsb3VkcGlja2xlLmNsb3VkcGlja2xlX2Zhc3SUjBJfZnVuY3Rpb25fc2V0c3RhdGWUk5RoH32UfZQoaBZoDYwMX19xdWFsbmFtZV9flIwZY29uc3RhbnRfZm4uPGxvY2Fscz4uZnVuY5SMD19fYW5ub3RhdGlvbnNfX5R9lIwOX19rd2RlZmF1bHRzX1+UTowMX19kZWZhdWx0c19flE6MCl9fbW9kdWxlX1+UaBeMB19fZG9jX1+UTowLX19jbG9zdXJlX1+UaACMCl9tYWtlX2NlbGyUk5RHPzOpKjBVMmGFlFKUhZSMF19jbG91ZHBpY2tsZV9zdWJtb2R1bGVzlF2UjAtfX2dsb2JhbHNfX5R9lHWGlIZSMC4="
+    },
+    "_last_obs": {
+        ":type:": "<class 'numpy.ndarray'>",
+        ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAMoBgL6Rq6I9mAAWPp7jXb4tYZK7YfXIPQAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwiGlIwBQ5R0lFKULg=="
+    },
+    "_last_episode_starts": {
+        ":type:": "<class 'numpy.ndarray'>",
+        ":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg=="
+    },
+    "_last_original_obs": null,
+    "_episode_num": 0,
+    "use_sde": false,
+    "sde_sample_freq": -1,
+    "_current_progress_remaining": -0.0014719999999999178,
+    "ep_info_buffer": {
+        ":type:": "<class 'collections.deque'>",
+        ":serialized:": "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"
+    },
+    "ep_success_buffer": {
+        ":type:": "<class 'collections.deque'>",
+        ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
+    },
+    "_n_updates": 1956,
+    "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
+}

ppo-LunarLander-v2/policy.optimizer.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:47e4d182e78e457d5e11db40e0a0c16a06d7d1a9f502d8d81b2a0cc1eda2bc71
+size 87865

ppo-LunarLander-v2/policy.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2293c6872baf6681308e4227af83e217045710fdec85583765f81a5642c0b1bf
+size 43201

ppo-LunarLander-v2/pytorch_variables.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d030ad8db708280fcae77d87e973102039acd23a11bdecc3db8eb6c0ac940ee1
+size 431

ppo-LunarLander-v2/system_info.txt

@@ -0,0 +1,7 @@
+OS: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022
+Python: 3.7.13
+Stable-Baselines3: 1.6.0
+PyTorch: 1.12.1+cu113
+GPU Enabled: True
+Numpy: 1.21.6
+Gym: 0.21.0

results.json

@@ -0,0 +1 @@
+{"mean_reward": 220.1449676963157, "std_reward": 76.20268939491676, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-08-14T19:32:20.505909"}