first commit
Browse files- README.md +1 -1
- config.json +1 -1
- ppo-LunarLander-v2.zip +2 -2
- ppo-LunarLander-v2/data +8 -8
- 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
CHANGED
@@ -16,7 +16,7 @@ model-index:
|
|
16 |
type: LunarLander-v2
|
17 |
metrics:
|
18 |
- type: mean_reward
|
19 |
-
value:
|
20 |
name: mean_reward
|
21 |
verified: false
|
22 |
---
|
|
|
16 |
type: LunarLander-v2
|
17 |
metrics:
|
18 |
- type: mean_reward
|
19 |
+
value: 290.04 +/- 17.67
|
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 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 0x7892da9b2ef0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7892da9b2f80>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7892da9b3010>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7892da9b30a0>", "_build": "<function ActorCriticPolicy._build at 0x7892da9b3130>", "forward": "<function ActorCriticPolicy.forward at 0x7892da9b31c0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7892da9b3250>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7892da9b32e0>", "_predict": "<function ActorCriticPolicy._predict at 0x7892da9b3370>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7892da9b3400>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7892da9b3490>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7892da9b3520>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7892da94fbc0>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 3014656, "_total_timesteps": 3000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1707070109434399459, "learning_rate": 0.0003, "tensorboard_log": "tb_logs/lr", "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAQAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.004885333333333408, "_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": 644, "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:": "gAWV1QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlE51Yi4=", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "n_steps": 2048, "gamma": 0.995, "gae_lambda": 0.97, "ent_coef": 0.005, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 7, "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": "2.1.0+cu121", "GPU Enabled": "True", "Numpy": "1.23.5", "Cloudpickle": "2.2.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}}
|
|
|
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 0x7892da9b2ef0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7892da9b2f80>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7892da9b3010>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7892da9b30a0>", "_build": "<function ActorCriticPolicy._build at 0x7892da9b3130>", "forward": "<function ActorCriticPolicy.forward at 0x7892da9b31c0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7892da9b3250>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7892da9b32e0>", "_predict": "<function ActorCriticPolicy._predict at 0x7892da9b3370>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7892da9b3400>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7892da9b3490>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7892da9b3520>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7892da94fbc0>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 3014656, "_total_timesteps": 3000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1707083473456424791, "learning_rate": 0.003, "tensorboard_log": "tb_logs/lr", "_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": -0.004885333333333408, "_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": 1288, "observation_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "gAWVcAIAAAAAAACMFGd5bW5hc2l1bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMDWJvdW5kZWRfYmVsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWCAAAAAAAAAABAQEBAQEBAZRoB4wCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksIhZSMAUOUdJRSlIwNYm91bmRlZF9hYm92ZZRoECiWCAAAAAAAAAABAQEBAQEBAZRoFEsIhZRoGHSUUpSMBl9zaGFwZZRLCIWUjANsb3eUaBAoliAAAAAAAAAAAAC0wgAAtMIAAKDAAACgwNsPScAAAKDAAAAAgAAAAICUaApLCIWUaBh0lFKUjARoaWdolGgQKJYgAAAAAAAAAAAAtEIAALRCAACgQAAAoEDbD0lAAACgQAAAgD8AAIA/lGgKSwiFlGgYdJRSlIwIbG93X3JlcHKUjFtbLTkwLiAgICAgICAgLTkwLiAgICAgICAgIC01LiAgICAgICAgIC01LiAgICAgICAgIC0zLjE0MTU5MjcgIC01LgogIC0wLiAgICAgICAgIC0wLiAgICAgICBdlIwJaGlnaF9yZXBylIxTWzkwLiAgICAgICAgOTAuICAgICAgICAgNS4gICAgICAgICA1LiAgICAgICAgIDMuMTQxNTkyNyAgNS4KICAxLiAgICAgICAgIDEuICAgICAgIF2UjApfbnBfcmFuZG9tlE51Yi4=", "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:": "gAWV1QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlE51Yi4=", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "n_steps": 1024, "gamma": 0.995, "gae_lambda": 0.97, "ent_coef": 0.005, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 7, "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": "2.1.0+cu121", "GPU Enabled": "True", "Numpy": "1.23.5", "Cloudpickle": "2.2.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}}
|
ppo-LunarLander-v2.zip
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:46dbd8a166ffa56390eecf930535c3b8334a4fa91b0214f85d36a901f7a99972
|
3 |
+
size 147949
|
ppo-LunarLander-v2/data
CHANGED
@@ -26,16 +26,16 @@
|
|
26 |
"_num_timesteps_at_start": 0,
|
27 |
"seed": null,
|
28 |
"action_noise": null,
|
29 |
-
"start_time":
|
30 |
-
"learning_rate": 0.
|
31 |
"tensorboard_log": "tb_logs/lr",
|
32 |
"_last_obs": {
|
33 |
":type:": "<class 'numpy.ndarray'>",
|
34 |
-
":serialized:": "
|
35 |
},
|
36 |
"_last_episode_starts": {
|
37 |
":type:": "<class 'numpy.ndarray'>",
|
38 |
-
":serialized:": "
|
39 |
},
|
40 |
"_last_original_obs": null,
|
41 |
"_episode_num": 0,
|
@@ -45,13 +45,13 @@
|
|
45 |
"_stats_window_size": 100,
|
46 |
"ep_info_buffer": {
|
47 |
":type:": "<class 'collections.deque'>",
|
48 |
-
":serialized:": "
|
49 |
},
|
50 |
"ep_success_buffer": {
|
51 |
":type:": "<class 'collections.deque'>",
|
52 |
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
|
53 |
},
|
54 |
-
"_n_updates":
|
55 |
"observation_space": {
|
56 |
":type:": "<class 'gymnasium.spaces.box.Box'>",
|
57 |
":serialized:": "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",
|
@@ -77,7 +77,7 @@
|
|
77 |
"_np_random": null
|
78 |
},
|
79 |
"n_envs": 16,
|
80 |
-
"n_steps":
|
81 |
"gamma": 0.995,
|
82 |
"gae_lambda": 0.97,
|
83 |
"ent_coef": 0.005,
|
@@ -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": 1707083473456424791,
|
30 |
+
"learning_rate": 0.003,
|
31 |
"tensorboard_log": "tb_logs/lr",
|
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,
|
|
|
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": 1288,
|
55 |
"observation_space": {
|
56 |
":type:": "<class 'gymnasium.spaces.box.Box'>",
|
57 |
":serialized:": "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",
|
|
|
77 |
"_np_random": null
|
78 |
},
|
79 |
"n_envs": 16,
|
80 |
+
"n_steps": 1024,
|
81 |
"gamma": 0.995,
|
82 |
"gae_lambda": 0.97,
|
83 |
"ent_coef": 0.005,
|
|
|
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
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
|
2 |
+
oid sha256:bae32d53da4f5fd9eeb62d90ee5422c479ae72b0265affd8eff38f949bd0cda5
|
3 |
size 88362
|
ppo-LunarLander-v2/policy.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 43762
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:432bb27518d2bf70be9eba6d7b160ea4dab531a12402248e8c6b07ddc6ce7f59
|
3 |
size 43762
|
replay.mp4
CHANGED
Binary files a/replay.mp4 and b/replay.mp4 differ
|
|
results.json
CHANGED
@@ -1 +1 @@
|
|
1 |
-
{"mean_reward":
|
|
|
1 |
+
{"mean_reward": 290.0387557, "std_reward": 17.672456991356153, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-02-04T22:56:49.391345"}
|