Upload trained agent kushal256/LunarLander-v2
Browse files- README.md +1 -1
- config.json +1 -1
- ppo-LunarLander-v2.zip +2 -2
- ppo-LunarLander-v2/data +22 -10
- ppo-LunarLander-v2/policy.optimizer.pth +2 -2
- 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: 278.25 +/- 15.47
|
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 0x7fcafb9773a0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fcafb977430>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fcafb9774c0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fcafb977550>", "_build": "<function ActorCriticPolicy._build at 0x7fcafb9775e0>", "forward": "<function ActorCriticPolicy.forward at 0x7fcafb977670>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fcafb977700>", "_predict": "<function ActorCriticPolicy._predict at 0x7fcafb977790>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fcafb977820>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fcafb9778b0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fcafb977940>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fcafb9790f0>"}, "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": 0, "_total_timesteps": 0, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": null, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": null, "_last_episode_starts": null, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": 1, "ep_info_buffer": null, "ep_success_buffer": null, "_n_updates": 0, "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-5.10.133+-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 0x7fcafb9773a0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fcafb977430>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fcafb9774c0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fcafb977550>", "_build": "<function ActorCriticPolicy._build at 0x7fcafb9775e0>", "forward": "<function ActorCriticPolicy.forward at 0x7fcafb977670>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fcafb977700>", "_predict": "<function ActorCriticPolicy._predict at 0x7fcafb977790>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fcafb977820>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fcafb9778b0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fcafb977940>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fcafb9790f0>"}, "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": 2031616, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1670439904722612414, "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": -0.015808000000000044, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 248, "n_steps": 2048, "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-5.10.133+-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"}}
|
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 sha256:1617a1aa7cc132273179ccd5b26b6274dc8bbb90ada576dd91f99a548045fc45
|
3 |
+
size 147082
|
ppo-LunarLander-v2/data
CHANGED
@@ -42,29 +42,41 @@
|
|
42 |
"_np_random": null
|
43 |
},
|
44 |
"n_envs": 16,
|
45 |
-
"num_timesteps":
|
46 |
-
"_total_timesteps":
|
47 |
"_num_timesteps_at_start": 0,
|
48 |
"seed": null,
|
49 |
"action_noise": null,
|
50 |
-
"start_time":
|
51 |
"learning_rate": 0.0003,
|
52 |
"tensorboard_log": null,
|
53 |
"lr_schedule": {
|
54 |
":type:": "<class 'function'>",
|
55 |
":serialized:": "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"
|
56 |
},
|
57 |
-
"_last_obs":
|
58 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
59 |
"_last_original_obs": null,
|
60 |
"_episode_num": 0,
|
61 |
"use_sde": false,
|
62 |
"sde_sample_freq": -1,
|
63 |
-
"_current_progress_remaining":
|
64 |
-
"ep_info_buffer":
|
65 |
-
|
66 |
-
|
67 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
68 |
"gamma": 0.999,
|
69 |
"gae_lambda": 0.98,
|
70 |
"ent_coef": 0.01,
|
|
|
42 |
"_np_random": null
|
43 |
},
|
44 |
"n_envs": 16,
|
45 |
+
"num_timesteps": 2031616,
|
46 |
+
"_total_timesteps": 2000000,
|
47 |
"_num_timesteps_at_start": 0,
|
48 |
"seed": null,
|
49 |
"action_noise": null,
|
50 |
+
"start_time": 1670439904722612414,
|
51 |
"learning_rate": 0.0003,
|
52 |
"tensorboard_log": null,
|
53 |
"lr_schedule": {
|
54 |
":type:": "<class 'function'>",
|
55 |
":serialized:": "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"
|
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'>",
|
63 |
+
":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
|
64 |
+
},
|
65 |
"_last_original_obs": null,
|
66 |
"_episode_num": 0,
|
67 |
"use_sde": false,
|
68 |
"sde_sample_freq": -1,
|
69 |
+
"_current_progress_remaining": -0.015808000000000044,
|
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": 248,
|
79 |
+
"n_steps": 2048,
|
80 |
"gamma": 0.999,
|
81 |
"gae_lambda": 0.98,
|
82 |
"ent_coef": 0.01,
|
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
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3a0885f73eb8116794eaee475fc817538a1d5962e05b971b4771125f9104b361
|
3 |
+
size 87865
|
ppo-LunarLander-v2/policy.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 43201
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5866ccaac532e4afe528e3282eef0e33e5adc2065232902d11526f45fb8dfb28
|
3 |
size 43201
|
replay.mp4
CHANGED
Binary files a/replay.mp4 and b/replay.mp4 differ
|
|
results.json
CHANGED
@@ -1 +1 @@
|
|
1 |
-
{"mean_reward":
|
|
|
1 |
+
{"mean_reward": 278.2473798726545, "std_reward": 15.473851822886864, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-12-07T19:44:00.290078"}
|