zlicastro commited on
Commit
80c2cc8
1 Parent(s): 6eef2a3

Upload first attempt at lunar lander RL model

Browse files
README.md CHANGED
@@ -16,7 +16,7 @@ model-index:
16
  type: LunarLander-v2
17
  metrics:
18
  - type: mean_reward
19
- value: 257.89 +/- 54.50
20
  name: mean_reward
21
  verified: false
22
  ---
 
16
  type: LunarLander-v2
17
  metrics:
18
  - type: mean_reward
19
+ value: 292.88 +/- 12.14
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 0x7f83aba32160>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f83aba321f0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f83aba32280>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f83aba32310>", "_build": "<function ActorCriticPolicy._build at 0x7f83aba323a0>", "forward": "<function ActorCriticPolicy.forward at 0x7f83aba32430>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f83aba324c0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f83aba32550>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f83aba325e0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f83aba32670>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f83aba32700>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f83aba2d600>"}, "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": 1212416, "_total_timesteps": 1200000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1670345373376551312, "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": -0.010346666666666726, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 370, "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": 5, "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 0x7f83aba32160>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f83aba321f0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f83aba32280>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f83aba32310>", "_build": "<function ActorCriticPolicy._build at 0x7f83aba323a0>", "forward": "<function ActorCriticPolicy.forward at 0x7f83aba32430>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f83aba324c0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f83aba32550>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f83aba325e0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f83aba32670>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f83aba32700>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f83aba2d600>"}, "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": 2015232, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1670347343034060806, "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": -0.007616000000000067, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 985, "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": 5, "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": 257.8946451300119, "std_reward": 54.49940862577191, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-12-06T17:11:37.618709"}
 
1
+ {"mean_reward": 292.8805492691507, "std_reward": 12.144134655972998, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-12-06T17:47:47.324247"}
zl-ppo-lunar-lander-v2.zip CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:85a10155c41db946f3006ff9b1fee5bbae87133da54c7548dbd322038dc9ce8d
3
- size 147082
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7e5ee2d309b75b551156100ce3af61788b240c1b023ff6a024730e4e6c42a857
3
+ size 147026
zl-ppo-lunar-lander-v2/data CHANGED
@@ -42,12 +42,12 @@
42
  "_np_random": null
43
  },
44
  "n_envs": 16,
45
- "num_timesteps": 1212416,
46
- "_total_timesteps": 1200000,
47
  "_num_timesteps_at_start": 0,
48
  "seed": null,
49
  "action_noise": null,
50
- "start_time": 1670345373376551312,
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'>",
@@ -66,16 +66,16 @@
66
  "_episode_num": 0,
67
  "use_sde": false,
68
  "sde_sample_freq": -1,
69
- "_current_progress_remaining": -0.010346666666666726,
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": 370,
79
  "n_steps": 1024,
80
  "gamma": 0.999,
81
  "gae_lambda": 0.98,
 
42
  "_np_random": null
43
  },
44
  "n_envs": 16,
45
+ "num_timesteps": 2015232,
46
+ "_total_timesteps": 2000000,
47
  "_num_timesteps_at_start": 0,
48
  "seed": null,
49
  "action_noise": null,
50
+ "start_time": 1670347343034060806,
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'>",
 
66
  "_episode_num": 0,
67
  "use_sde": false,
68
  "sde_sample_freq": -1,
69
+ "_current_progress_remaining": -0.007616000000000067,
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": 985,
79
  "n_steps": 1024,
80
  "gamma": 0.999,
81
  "gae_lambda": 0.98,
zl-ppo-lunar-lander-v2/policy.optimizer.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d3940c714fbd7b756e2ed81643dc06ce45a46cba2a0a2bbf342ae4f224cd1381
3
  size 87865
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1697e5afbbafa4578ab52d5174e26243c3095685fbc98784e49206c0a7857b02
3
  size 87865
zl-ppo-lunar-lander-v2/policy.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:19527808b6fea9c94a47b383543f0ceaed1aabf370f0e935ab8721407669aec4
3
  size 43201
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5d86dc95703e27eb046027f09cccc07965827cb006871520dadb9b5bf9ba7e44
3
  size 43201