starter unit 1
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
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: 261.60 +/- 20.58
|
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 0x7d4b67cd67a0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7d4b67cd6830>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7d4b67cd68c0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7d4b67cd6950>", "_build": "<function ActorCriticPolicy._build at 0x7d4b67cd69e0>", "forward": "<function ActorCriticPolicy.forward at 0x7d4b67cd6a70>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7d4b67cd6b00>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7d4b67cd6b90>", "_predict": "<function ActorCriticPolicy._predict at 0x7d4b67cd6c20>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7d4b67cd6cb0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7d4b67cd6d40>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7d4b67cd6dd0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7d4b6efcd300>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1712586298778619682, "learning_rate": 0.0003, "tensorboard_log": null, "_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": -0.015808000000000044, "_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": 620, "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:": "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": 10, "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:": "gAWVxQIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTAvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuEQwIEAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjEwL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaB99lH2UKGgWaA2MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgXjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz8zqSowVTJhhZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"}, "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"}}
|
|
|
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 0x7d4b67cd67a0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7d4b67cd6830>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7d4b67cd68c0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7d4b67cd6950>", "_build": "<function ActorCriticPolicy._build at 0x7d4b67cd69e0>", "forward": "<function ActorCriticPolicy.forward at 0x7d4b67cd6a70>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7d4b67cd6b00>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7d4b67cd6b90>", "_predict": "<function ActorCriticPolicy._predict at 0x7d4b67cd6c20>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7d4b67cd6cb0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7d4b67cd6d40>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7d4b67cd6dd0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7d4b6efcd300>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1277216, "_total_timesteps": 5000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1712588592350001866, "learning_rate": 0.0003, "tensorboard_log": null, "_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": 0.7446144, "_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": 12470, "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": 64, "gamma": 0.999, "gae_lambda": 0.98, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 128, "n_epochs": 10, "clip_range": {":type:": "<class 'function'>", ":serialized:": "gAWVxQIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTAvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuEQwIEAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjEwL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaB99lH2UKGgWaA2MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgXjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz/JmZmZmZmahZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"}, "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
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 sha256:90c306cb62cb4597032e6d6b323e66ca1f40a98b3a04af42e5c4902321d5dedd
|
3 |
+
size 148030
|
ppo-LunarLander-v2/data
CHANGED
@@ -21,17 +21,17 @@
|
|
21 |
},
|
22 |
"verbose": 1,
|
23 |
"policy_kwargs": {},
|
24 |
-
"num_timesteps":
|
25 |
-
"_total_timesteps":
|
26 |
"_num_timesteps_at_start": 0,
|
27 |
"seed": null,
|
28 |
"action_noise": null,
|
29 |
-
"start_time":
|
30 |
"learning_rate": 0.0003,
|
31 |
"tensorboard_log": null,
|
32 |
"_last_obs": {
|
33 |
":type:": "<class 'numpy.ndarray'>",
|
34 |
-
":serialized:": "
|
35 |
},
|
36 |
"_last_episode_starts": {
|
37 |
":type:": "<class 'numpy.ndarray'>",
|
@@ -41,17 +41,17 @@
|
|
41 |
"_episode_num": 0,
|
42 |
"use_sde": false,
|
43 |
"sde_sample_freq": -1,
|
44 |
-
"_current_progress_remaining":
|
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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",
|
@@ -77,13 +77,13 @@
|
|
77 |
"_np_random": null
|
78 |
},
|
79 |
"n_envs": 16,
|
80 |
-
"n_steps":
|
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":
|
87 |
"n_epochs": 10,
|
88 |
"clip_range": {
|
89 |
":type:": "<class 'function'>",
|
|
|
21 |
},
|
22 |
"verbose": 1,
|
23 |
"policy_kwargs": {},
|
24 |
+
"num_timesteps": 1277216,
|
25 |
+
"_total_timesteps": 5000000,
|
26 |
"_num_timesteps_at_start": 0,
|
27 |
"seed": null,
|
28 |
"action_noise": null,
|
29 |
+
"start_time": 1712588592350001866,
|
30 |
"learning_rate": 0.0003,
|
31 |
"tensorboard_log": null,
|
32 |
"_last_obs": {
|
33 |
":type:": "<class 'numpy.ndarray'>",
|
34 |
+
":serialized:": "gAWVdQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAgAAAAAAADOTdr6KD5Q/KnQuvnXzrb4c8y2+Go9WPQAAAAAAAAAAuj9PPu6XFz+twe69EAbDviIi5T2KDDI7AAAAAAAAAACz+Mu962+bPpokhD0if2K+xY3MOy313zwAAAAAAAAAAGYdsbwFzfq7fPRKvJApkzwt3ke9nnt2PQAAgD8AAIA/QIKoPbXTsT6CKA2+LzqavsOSLT3WlCm9AAAAAAAAAADaH7y9aUshPZ7Tvb1mRC++RbE2vT7MIj0AAAAAAAAAAM1ogr22tBa8GCKWPCQQmjyMP4K9mI99PQAAgD8AAIA/4Ok0vg4/rT7QZMO8fLFfvp2Ng70TI5w7AAAAAAAAAADw3ny+gchVPybJhr3FXZS+M5YOvilcgTwAAAAAAAAAALOKcz4vfxQ9rkJHvjzrnb5XDcM9ig/CvAAAAAAAAAAAbfRCvh+qtDyewoG6Q2kHOehuQ74hd7g5AACAPwAAgD+CCq++v5RwP8jGbL3pIYa+uVBJviGYgT0AAAAAAAAAANrq6r2uRY07KpCRPWqUAr4XViI8CwwrOwAAAAAAAAAA5qXoPXI1kT+al8E+9jUBv92GMD7DG/49AAAAAAAAAABmgtk7a2VtP0fyAjzMK82+UOtVPExlujsAAAAAAAAAANqCwr1SUMa5FTtvtQDuJC/VUZC7/XGzNAAAgD8AAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwiGlIwBQ5R0lFKULg=="
|
35 |
},
|
36 |
"_last_episode_starts": {
|
37 |
":type:": "<class 'numpy.ndarray'>",
|
|
|
41 |
"_episode_num": 0,
|
42 |
"use_sde": false,
|
43 |
"sde_sample_freq": -1,
|
44 |
+
"_current_progress_remaining": 0.7446144,
|
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": 12470,
|
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": 64,
|
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": 128,
|
87 |
"n_epochs": 10,
|
88 |
"clip_range": {
|
89 |
":type:": "<class 'function'>",
|
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:d91947cbc31cdbcb83dd99d900fbafe04476fef4226b88fb120d96fba459bf1b
|
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:b180307c556f3388e639c544d7671e22d5e384fcee8b8f225e88fc12bc2b6ff2
|
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": 261.59938529999994, "std_reward": 20.578620623547295, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-04-08T15:28:04.559142"}
|