shrivastavatrayambak
commited on
Commit
•
cb8beca
1
Parent(s):
0bb93e6
Upload PPO LunarLander-v2 trained agent
Browse files- README.md +1 -1
- config.json +1 -1
- ppo-LunarLander-v2.zip +2 -2
- ppo-LunarLander-v2/data +11 -11
- 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: 264.10 +/- 6.69
|
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 0x7c1ae947d990>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7c1ae947da20>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7c1ae947dab0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7c1ae947db40>", "_build": "<function ActorCriticPolicy._build at 0x7c1ae947dbd0>", "forward": "<function ActorCriticPolicy.forward at 0x7c1ae947dc60>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7c1ae947dcf0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7c1ae947dd80>", "_predict": "<function ActorCriticPolicy._predict at 0x7c1ae947de10>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7c1ae947dea0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7c1ae947df30>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7c1ae947dfc0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7c1ae9612d00>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 7312, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1711043916577885373, "learning_rate": 0.0003, "tensorboard_log": null, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAgAAAAAAAHM6Kb78UkI/OXylO39cTL4g0uO9JmvtPAAAAAAAAAAAAEk/vpqcLj8VO449JscKvs0boT3jwDc+AAAAAAAAAABa2ZS96YsYP3KB5Lwd9Dq9gdU9vHdgnL0AAAAAAAAAAJVkxr50P/A+QzOGPfHz6rydiaw88A/KOwAAAAAAAAAAw2h9vkNM9z5LUCA90fwQvs/Bjr2Iz9Y9AAAAAAAAAAD60/Q+D9AvvGhKND4OJ9q9yVtkPcDX9DsAAAAAAAAAAOZDBj/xJRU+Bl/SPbxpDb5uaUW9p7i5PQAAAAAAAAAAFUnevmabTj+tfig9XioHvUo0cDwC1869AAAAAAAAAAB6pCI+6yUSPyNmkz3b27e94GhNvbkRET0AAAAAAAAAABMGrD6vqQk/1/gCPnmhWb2j2uM9ajDIPQAAAAAAAAAA82SzPvw9wT6+NrQ9lMRfvTPW47wWnQ29AAAAAAAAAAAaAdA9i/byPrpFjz3l6Pe8+x4UPkKHbD0AAAAAAAAAAAAjZT1niSk/yEm+vN7EIb7f/Uq8KyM4vQAAAAAAAAAAMvsOPwR0iT4jrO49viEQviUkbjx3wQk8AAAAAAAAAAATaRU+BKmZPs346T1YOIi+VMNJvcZ0QD0AAAAAAAAAAE2t6j1/eBE/39gxPRVmfr0SBRQ90F4JPgAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwiGlIwBQ5R0lFKULg=="}, "_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": -2.2768, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 100, "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": 2048, "gamma": 0.95, "gae_lambda": 0.95, "ent_coef": 0.0, "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:": "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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"}}
|
|
|
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 0x7c1ae947d990>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7c1ae947da20>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7c1ae947dab0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7c1ae947db40>", "_build": "<function ActorCriticPolicy._build at 0x7c1ae947dbd0>", "forward": "<function ActorCriticPolicy.forward at 0x7c1ae947dc60>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7c1ae947dcf0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7c1ae947dd80>", "_predict": "<function ActorCriticPolicy._predict at 0x7c1ae947de10>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7c1ae947dea0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7c1ae947df30>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7c1ae947dfc0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7c1ae9612d00>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1711045642047902964, "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": 248, "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": 4, "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": "2.2.1+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 sha256:67ac1851697bbdb502167195dfec45fa9c0377129d3e1b4b4fb47e0c28412a1d
|
3 |
+
size 148072
|
ppo-LunarLander-v2/data
CHANGED
@@ -21,17 +21,17 @@
|
|
21 |
},
|
22 |
"verbose": 1,
|
23 |
"policy_kwargs": {},
|
24 |
-
"num_timesteps":
|
25 |
"_total_timesteps": 1000000,
|
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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",
|
@@ -77,14 +77,14 @@
|
|
77 |
"_np_random": null
|
78 |
},
|
79 |
"n_envs": 16,
|
80 |
-
"n_steps":
|
81 |
-
"gamma": 0.
|
82 |
-
"gae_lambda": 0.
|
83 |
-
"ent_coef": 0.
|
84 |
"vf_coef": 0.5,
|
85 |
"max_grad_norm": 0.5,
|
86 |
"batch_size": 64,
|
87 |
-
"n_epochs":
|
88 |
"clip_range": {
|
89 |
":type:": "<class 'function'>",
|
90 |
":serialized:": "gAWVxQIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTAvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuEQwIEAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjEwL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaB99lH2UKGgWaA2MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgXjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz/JmZmZmZmahZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"
|
|
|
21 |
},
|
22 |
"verbose": 1,
|
23 |
"policy_kwargs": {},
|
24 |
+
"num_timesteps": 1015808,
|
25 |
"_total_timesteps": 1000000,
|
26 |
"_num_timesteps_at_start": 0,
|
27 |
"seed": null,
|
28 |
"action_noise": null,
|
29 |
+
"start_time": 1711045642047902964,
|
30 |
"learning_rate": 0.0003,
|
31 |
"tensorboard_log": null,
|
32 |
"_last_obs": {
|
33 |
":type:": "<class 'numpy.ndarray'>",
|
34 |
+
":serialized:": "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"
|
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": -0.015808000000000044,
|
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": 248,
|
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": 0.999,
|
82 |
+
"gae_lambda": 0.98,
|
83 |
+
"ent_coef": 0.01,
|
84 |
"vf_coef": 0.5,
|
85 |
"max_grad_norm": 0.5,
|
86 |
"batch_size": 64,
|
87 |
+
"n_epochs": 4,
|
88 |
"clip_range": {
|
89 |
":type:": "<class 'function'>",
|
90 |
":serialized:": "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"
|
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:d578cf8cc6d345426e8f772c1725cdcb50fc7d8365965e719997582c19a072fd
|
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 sha256:7db7f753ce5f8bb10dfeb476e0f3188dc2cb2d78187134fa551aabede4f15930
|
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": 264.1022025718813, "std_reward": 6.693240451668344, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-03-21T18:53:17.781768"}
|