kennethgoodman commited on
Commit
c0ab4b6
1 Parent(s): a339312

Upload PPO LunarLander-v2 trained agent

Browse files
LunarLander-v2-version_0_0_1.zip CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:adb30e22cfec6b1fa0c3b8fa6ec7d637bcc8c3c78f7d6a953f64764bd2d7b051
3
  size 147024
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1094b744a1177f71f5f024b9e170ff4ec5688a821eccc5820342bb11025ecf8a
3
  size 147024
LunarLander-v2-version_0_0_1/data CHANGED
@@ -47,7 +47,7 @@
47
  "_num_timesteps_at_start": 0,
48
  "seed": null,
49
  "action_noise": null,
50
- "start_time": 1670392316716156993,
51
  "learning_rate": 0.0003,
52
  "tensorboard_log": null,
53
  "lr_schedule": {
@@ -56,7 +56,7 @@
56
  },
57
  "_last_obs": {
58
  ":type:": "<class 'numpy.ndarray'>",
59
- ":serialized:": "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"
60
  },
61
  "_last_episode_starts": {
62
  ":type:": "<class 'numpy.ndarray'>",
@@ -69,13 +69,13 @@
69
  "_current_progress_remaining": -0.0027007999999999477,
70
  "ep_info_buffer": {
71
  ":type:": "<class 'collections.deque'>",
72
- ":serialized:": "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"
73
  },
74
  "ep_success_buffer": {
75
  ":type:": "<class 'collections.deque'>",
76
  ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
77
  },
78
- "_n_updates": 3672,
79
  "n_steps": 1024,
80
  "gamma": 0.99,
81
  "gae_lambda": 0.98,
 
47
  "_num_timesteps_at_start": 0,
48
  "seed": null,
49
  "action_noise": null,
50
+ "start_time": 1670393836545290167,
51
  "learning_rate": 0.0003,
52
  "tensorboard_log": null,
53
  "lr_schedule": {
 
56
  },
57
  "_last_obs": {
58
  ":type:": "<class 'numpy.ndarray'>",
59
+ ":serialized:": "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"
60
  },
61
  "_last_episode_starts": {
62
  ":type:": "<class 'numpy.ndarray'>",
 
69
  "_current_progress_remaining": -0.0027007999999999477,
70
  "ep_info_buffer": {
71
  ":type:": "<class 'collections.deque'>",
72
+ ":serialized:": "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"
73
  },
74
  "ep_success_buffer": {
75
  ":type:": "<class 'collections.deque'>",
76
  ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
77
  },
78
+ "_n_updates": 4896,
79
  "n_steps": 1024,
80
  "gamma": 0.99,
81
  "gae_lambda": 0.98,
LunarLander-v2-version_0_0_1/policy.optimizer.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:84d0c0aa11cab3c02122ac2081a8dc75a61e443b57123c6ed88317ff5587155c
3
  size 87865
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:15fd5b105ff94401f3c42617dd7be2147c2c1779130fcc9cd2f25afdf3d44001
3
  size 87865
LunarLander-v2-version_0_0_1/policy.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:79f08e017b58c6d0d0fa6bc23ce38543243733a0c881c8cc5e0dc19925b107c4
3
  size 43201
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e3f26e00c41ae0339ce2964dfac0f1780f63c3d7846ef144b80627aa28575491
3
  size 43201
README.md CHANGED
@@ -16,7 +16,7 @@ model-index:
16
  type: LunarLander-v2
17
  metrics:
18
  - type: mean_reward
19
- value: 289.38 +/- 20.95
20
  name: mean_reward
21
  verified: false
22
  ---
 
16
  type: LunarLander-v2
17
  metrics:
18
  - type: mean_reward
19
+ value: 290.77 +/- 23.26
20
  name: mean_reward
21
  verified: false
22
  ---
config.json CHANGED
@@ -1 +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 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 0x7f180eda8c10>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f180eda8ca0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f180eda8d30>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f180eda8dc0>", "_build": "<function ActorCriticPolicy._build at 0x7f180eda8e50>", "forward": "<function ActorCriticPolicy.forward at 0x7f180eda8ee0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f180eda8f70>", "_predict": "<function ActorCriticPolicy._predict at 0x7f180edac040>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f180edac0d0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f180edac160>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f180edac1f0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f180eda58a0>"}, "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": null}, "action_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", "n": 4, "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "num_timesteps": 2506752, "_total_timesteps": 2500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1670392316716156993, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_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, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 3672, "n_steps": 1024, "gamma": 0.99, "gae_lambda": 0.98, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 128, "n_epochs": 8, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "system_info": {"OS": "Linux-5.10.133+-x86_64-with-glibc2.27 #1 SMP Fri Aug 26 08:44:51 UTC 2022", "Python": "3.8.15", "Stable-Baselines3": "1.6.2", "PyTorch": "1.12.1+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}
 
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 0x7f180eda8c10>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f180eda8ca0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f180eda8d30>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f180eda8dc0>", "_build": "<function ActorCriticPolicy._build at 0x7f180eda8e50>", "forward": "<function ActorCriticPolicy.forward at 0x7f180eda8ee0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f180eda8f70>", "_predict": "<function ActorCriticPolicy._predict at 0x7f180edac040>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f180edac0d0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f180edac160>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f180edac1f0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f180eda58a0>"}, "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": null}, "action_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", "n": 4, "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "num_timesteps": 2506752, "_total_timesteps": 2500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1670393836545290167, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_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, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 4896, "n_steps": 1024, "gamma": 0.99, "gae_lambda": 0.98, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 128, "n_epochs": 8, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "system_info": {"OS": "Linux-5.10.133+-x86_64-with-glibc2.27 #1 SMP Fri Aug 26 08:44:51 UTC 2022", "Python": "3.8.15", "Stable-Baselines3": "1.6.2", "PyTorch": "1.12.1+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}
replay.mp4 CHANGED
Binary files a/replay.mp4 and b/replay.mp4 differ
 
results.json CHANGED
@@ -1 +1 @@
1
- {"mean_reward": 289.38317778628704, "std_reward": 20.951980540227904, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-12-07T06:16:55.822214"}
 
1
+ {"mean_reward": 290.76531174706565, "std_reward": 23.26013873362424, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-12-07T06:42:01.811462"}