Commit ·
04ac639
1
Parent(s): 912fdb8
lunar lander ppo
Browse files- README.md +1 -1
- config.json +1 -1
- lunar_lander_ppo.zip +2 -2
- lunar_lander_ppo/data +11 -11
- lunar_lander_ppo/policy.optimizer.pth +1 -1
- lunar_lander_ppo/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: 255.43 +/- 14.45
|
| 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 0x7f4b9e9f5670>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f4b9e9f5700>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f4b9e9f5790>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f4b9e9f5820>", "_build": "<function ActorCriticPolicy._build at 0x7f4b9e9f58b0>", "forward": "<function ActorCriticPolicy.forward at 0x7f4b9e9f5940>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f4b9e9f59d0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f4b9e9f5a60>", "_predict": "<function ActorCriticPolicy._predict at 0x7f4b9e9f5af0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f4b9e9f5b80>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f4b9e9f5c10>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f4b9e9f5ca0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f4b9e9f4dc0>"}, "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": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1679643314272075898, "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:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAABAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////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": 310, "n_steps": 2048, "gamma": 0.99, "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, "system_info": {"OS": "Linux-5.10.147+-x86_64-with-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.9.16", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "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 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 0x7f4b9e9f5670>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f4b9e9f5700>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f4b9e9f5790>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f4b9e9f5820>", "_build": "<function ActorCriticPolicy._build at 0x7f4b9e9f58b0>", "forward": "<function ActorCriticPolicy.forward at 0x7f4b9e9f5940>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f4b9e9f59d0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f4b9e9f5a60>", "_predict": "<function ActorCriticPolicy._predict at 0x7f4b9e9f5af0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f4b9e9f5b80>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f4b9e9f5c10>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f4b9e9f5ca0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f4b9e9f4dc0>"}, "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": 1015808, "_total_timesteps": 1000000.0, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1679646278690210133, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAgAAAAAAAJo1dL1cCCW85jE/vMDV4DyDTxW9LrUzvAAAgD8AAIA/GkwpvqD4ED/AsCo+c8R0vqG8E73z1xs9AAAAAAAAAAAA9KS93WAoPrY8SD4JAT6+tHuXPcFaxbwAAAAAAAAAACAcAD5prgA/tENBvqtGY77dDjs9QMaMvQAAAAAAAAAAWsebPk9ONz/kaJG9Q1PEvl+hBT4PLC6+AAAAAAAAAAAA1AQ8+Fj0PXLBkT2R7VG+3XlOvd4/KbwAAAAAAAAAADP+Gj17DJe6OYg7uXcvMrQsjiY7HvtYOAAAgD8AAIA/M3icPZXAGj9gW5O9vvupvge+Az0PWxO9AAAAAAAAAAByLae+vuJCP46OSL68Id2+H/++vpNFGrsAAAAAAAAAAGYMrzzDuSG69rO8t30BX7O9+WM6VeLaNgAAgD8AAIA/mmjMvYpAaj8d7QW9bA3BvhL6zb376+48AAAAAAAAAADNjjC8jP11PgmxBz1bqYO+qsREu6hU/zwAAAAAAAAAACbuij38LTw+wlQ4Pm3IdL6Yk2c+WP8rvgAAAAAAAAAAplISPi/Yiz6VvuO9nKqdvhFQYL0lznW9AAAAAAAAAABm0YE8KXZEPsr+f72vGDe+JwBePINOKr0AAAAAAAAAANAnsb5/kUE/QBxJPuI4h77RKQG+4d48PgAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////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": -0.015808000000000044, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVbxAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMI9wSJ7e4KcECUhpRSlIwBbJRNJQGMAXSUR0CU7yiZOSGKdX2UKGgGaAloD0MI3xrYKoFHc0CUhpRSlGgVTSoBaBZHQJTwh0V8CxN1fZQoaAZoCWgPQwhcPSe971JuQJSGlFKUaBVNKwFoFkdAlQtFxsEaEXV9lChoBmgJaA9DCFTm5hsR53FAlIaUUpRoFUv8aBZHQJULcXm/3391fZQoaAZoCWgPQwiELAsmPvtxQJSGlFKUaBVNDwFoFkdAlQu0x/NJOHV9lChoBmgJaA9DCEsgJXZt2nBAlIaUUpRoFUvxaBZHQJUMLAXVLBd1fZQoaAZoCWgPQwhjZMkci05xQJSGlFKUaBVNIgFoFkdAlQxdsabWmXV9lChoBmgJaA9DCNpYiXmWunBAlIaUUpRoFUv1aBZHQJUMcX668QJ1fZQoaAZoCWgPQwjP1yyXTThzQJSGlFKUaBVL+mgWR0CVDigBLf1pdX2UKGgGaAloD0MIfEW3XtNecUCUhpRSlGgVTTABaBZHQJUOpeqrBCV1fZQoaAZoCWgPQwibWOAruvVvQJSGlFKUaBVNIQFoFkdAlQ6+HnEET3V9lChoBmgJaA9DCA7ZQLoYHnJAlIaUUpRoFUvvaBZHQJUP9YhdMTN1fZQoaAZoCWgPQwh6/N6mv3dvQJSGlFKUaBVNEAFoFkdAlRBmwmmcfHV9lChoBmgJaA9DCAQCnUlbEnJAlIaUUpRoFU2DAWgWR0CVENGjsUqQdX2UKGgGaAloD0MIOSaL+89Gc0CUhpRSlGgVTRkBaBZHQJUQ/FQ2uPp1fZQoaAZoCWgPQwi3f2WlyVZxQJSGlFKUaBVNNwFoFkdAlRE/8dgfEHV9lChoBmgJaA9DCGa+g584PHJAlIaUUpRoFU1DAWgWR0CVEf22G7BgdX2UKGgGaAloD0MIHNDSFew3cECUhpRSlGgVTRYBaBZHQJUTK0gKWs11fZQoaAZoCWgPQwiHiJtTiedwQJSGlFKUaBVL9mgWR0CVE3R0lqrSdX2UKGgGaAloD0MIBWoxeBhXckCUhpRSlGgVS/xoFkdAlROFBppN9HV9lChoBmgJaA9DCGx55Xpb729AlIaUUpRoFU0nAWgWR0CVE4rOqvNedX2UKGgGaAloD0MIFjJXBlVwcUCUhpRSlGgVTUEBaBZHQJUT27f51vF1fZQoaAZoCWgPQwguWRXhpjdxQJSGlFKUaBVNJQFoFkdAlRPoFJQLu3V9lChoBmgJaA9DCN6swfuq+2tAlIaUUpRoFU0BAWgWR0CVFYFfzBhydX2UKGgGaAloD0MIR3L5DynzcECUhpRSlGgVTRUBaBZHQJUWq3rleWx1fZQoaAZoCWgPQwhRobq5uHVxQJSGlFKUaBVNFgFoFkdAlRbM7yQPqnV9lChoBmgJaA9DCDXQfM7dH3FAlIaUUpRoFUv1aBZHQJUXj2OAAhl1fZQoaAZoCWgPQwg/jXvzW69xQJSGlFKUaBVNCQFoFkdAlRe5QLux8nV9lChoBmgJaA9DCPiqlQk/1W5AlIaUUpRoFUvxaBZHQJUYBrwe/6B1fZQoaAZoCWgPQwikb9I0KDVtQJSGlFKUaBVNBQFoFkdAlRh0BsANonV9lChoBmgJaA9DCOCFrdnKZXBAlIaUUpRoFU0MAWgWR0CVGTuMdcSodX2UKGgGaAloD0MIKcx7nOl2b0CUhpRSlGgVTdoBaBZHQJUaHoA4n4R1fZQoaAZoCWgPQwhz8bc9QSNxQJSGlFKUaBVNEAFoFkdAlRpbJjlPrXV9lChoBmgJaA9DCDI7i96p8m5AlIaUUpRoFU0HAWgWR0CVG7k5IYm+dX2UKGgGaAloD0MIgSTs20mDcUCUhpRSlGgVTRUBaBZHQJUcHrqt5lh1fZQoaAZoCWgPQwjdQlciEIpxQJSGlFKUaBVNIAFoFkdAlRw0DZDiO3V9lChoBmgJaA9DCLzOhvxz73JAlIaUUpRoFU0nAWgWR0CVHL+NcW0rdX2UKGgGaAloD0MIEOZ2L7dHcUCUhpRSlGgVTS0BaBZHQJUdYgow22p1fZQoaAZoCWgPQwhUqkTZW71vQJSGlFKUaBVL92gWR0CVHZNmUW2xdX2UKGgGaAloD0MICks8oKzxcUCUhpRSlGgVTQEBaBZHQJUe4u/UONJ1fZQoaAZoCWgPQwipoQ3AhoNsQJSGlFKUaBVNBQFoFkdAlR/ZOi35OHV9lChoBmgJaA9DCA2reCPzJnJAlIaUUpRoFU0cAWgWR0CVH9mlqJuVdX2UKGgGaAloD0MILH5TWOmKckCUhpRSlGgVS/toFkdAlSAF9BrvcHV9lChoBmgJaA9DCGheDrvvtXFAlIaUUpRoFUv/aBZHQJUgjbYbsGB1fZQoaAZoCWgPQwi37BD/sERwQJSGlFKUaBVNHgFoFkdAlSDBk/bCanV9lChoBmgJaA9DCKSJd4DnxHJAlIaUUpRoFU0fAWgWR0CVIgBDXvphdX2UKGgGaAloD0MImIdM+VBEckCUhpRSlGgVTQ8BaBZHQJUiRTjvNNd1fZQoaAZoCWgPQwj7k/jcSbVxQJSGlFKUaBVNFgFoFkdAlSKvacqe9XV9lChoBmgJaA9DCMDpXbxf+nFAlIaUUpRoFU0DAWgWR0CVI1+GGmDUdX2UKGgGaAloD0MIu5o8ZbX0cECUhpRSlGgVTQkBaBZHQJUj4AwPAfx1fZQoaAZoCWgPQwgQ5nYv96VxQJSGlFKUaBVL+2gWR0CVJKxLCemOdX2UKGgGaAloD0MIshLzrKS1OkCUhpRSlGgVS8loFkdAlSS7mhdt23V9lChoBmgJaA9DCFsKSPufxnJAlIaUUpRoFU0oAWgWR0CVJjOMERradX2UKGgGaAloD0MIK9mxEUgicECUhpRSlGgVTRcBaBZHQJUoWpYLb6B1fZQoaAZoCWgPQwgS2JyD52txQJSGlFKUaBVNiAFoFkdAlSi9oN/e+HV9lChoBmgJaA9DCLe28LzUH3BAlIaUUpRoFU0eAWgWR0CVKNLux8lYdX2UKGgGaAloD0MIk4rG2t+YckCUhpRSlGgVTQ8BaBZHQJUo6zE74i51fZQoaAZoCWgPQwik/+VatD1tQJSGlFKUaBVNEgFoFkdAlSlMNlRP43V9lChoBmgJaA9DCNEHy9iQJXNAlIaUUpRoFUvgaBZHQJUpd0IToMd1fZQoaAZoCWgPQwiMutbeJ5txQJSGlFKUaBVNBAFoFkdAlUUf9cbBGnV9lChoBmgJaA9DCMnGgy12wG5AlIaUUpRoFU0CAWgWR0CVRdsf7rLRdX2UKGgGaAloD0MIb7plh7jFcUCUhpRSlGgVTSMBaBZHQJVHtqBVdX11fZQoaAZoCWgPQwhBtixfl71vQJSGlFKUaBVNUwFoFkdAlUtdV7x/eHV9lChoBmgJaA9DCFhUxOnkIXJAlIaUUpRoFU2DAWgWR0CVTFA3DNyHdX2UKGgGaAloD0MI6WD9n4OfckCUhpRSlGgVTQEBaBZHQJVNWxt52Qp1fZQoaAZoCWgPQwhgOq3bIC9xQJSGlFKUaBVNYAFoFkdAlU46gqVhTnV9lChoBmgJaA9DCIWVCipqjHBAlIaUUpRoFU0MAWgWR0CVTldkauOkdX2UKGgGaAloD0MI66f/rHlIb0CUhpRSlGgVTTABaBZHQJVOxMpPRAt1fZQoaAZoCWgPQwgyIHu9+8lvQJSGlFKUaBVNOwFoFkdAlU/KsdT5wnV9lChoBmgJaA9DCCO8PQgBb2BAlIaUUpRoFU3oA2gWR0CVUBiTdLxqdX2UKGgGaAloD0MIlrGhm/1HckCUhpRSlGgVTRkBaBZHQJVQUlIEr5J1fZQoaAZoCWgPQwiPHOkMTORxQJSGlFKUaBVNDgFoFkdAlVCzZxrBTHV9lChoBmgJaA9DCHgI46fxGm1AlIaUUpRoFU2cAWgWR0CVVIOsT37DdX2UKGgGaAloD0MI+zvbo3dac0CUhpRSlGgVTVIBaBZHQJVVpGBnSOR1fZQoaAZoCWgPQwgnol9bP0U1QJSGlFKUaBVL1mgWR0CVVwa1TisGdX2UKGgGaAloD0MI5X6HogCAcUCUhpRSlGgVS/ZoFkdAlVdwXqJMx3V9lChoBmgJaA9DCN3Sakjc5G5AlIaUUpRoFU0oAWgWR0CVWJIJqqOtdX2UKGgGaAloD0MITx4Wao15cECUhpRSlGgVTQ4BaBZHQJVZR9iMHbB1fZQoaAZoCWgPQwj4TzdQYDZzQJSGlFKUaBVNDQFoFkdAlVrEZaV2R3V9lChoBmgJaA9DCNh+MsYHy2VAlIaUUpRoFU3oA2gWR0CVWuXarWAgdX2UKGgGaAloD0MIYYkHlM2nckCUhpRSlGgVTUYBaBZHQJVcLZh8Yyh1fZQoaAZoCWgPQwifWRKgpqttQJSGlFKUaBVNLAFoFkdAlVxVymygPHV9lChoBmgJaA9DCHKG4o63RXBAlIaUUpRoFU1aAWgWR0CVXlj3VTaTdX2UKGgGaAloD0MI8z6O5sj/cUCUhpRSlGgVTW8BaBZHQJVfmYzBRAN1fZQoaAZoCWgPQwjpDmJnCqFnQJSGlFKUaBVN6ANoFkdAlV++Ay2x6nV9lChoBmgJaA9DCMwollsaK3JAlIaUUpRoFU1mAWgWR0CVYvVUuL75dX2UKGgGaAloD0MIDksDP+r5ckCUhpRSlGgVS/VoFkdAlWMeWBz3iHV9lChoBmgJaA9DCBcq/1pe6W1AlIaUUpRoFU1cAWgWR0CVZcspG4I9dX2UKGgGaAloD0MI1QRR94FAZ0CUhpRSlGgVTegDaBZHQJVnAwK0D2d1fZQoaAZoCWgPQwjn/BTHQUFxQJSGlFKUaBVNrQJoFkdAlWgEBKcurnV9lChoBmgJaA9DCHhGW5WE/3BAlIaUUpRoFU06AWgWR0CVaAUqQRwqdX2UKGgGaAloD0MIFxHF5I3CbUCUhpRSlGgVTZoBaBZHQJVoQtWdVed1fZQoaAZoCWgPQwgQscHCSaZwQJSGlFKUaBVNJgFoFkdAlWiDpkf9xnV9lChoBmgJaA9DCJ/KaU+JWnFAlIaUUpRoFU1eAWgWR0CVaZ704BFNdX2UKGgGaAloD0MI7UW0HRNIcUCUhpRSlGgVTT0BaBZHQJVp4olUp/h1fZQoaAZoCWgPQwi+Mm/VdW1sQJSGlFKUaBVNvANoFkdAlWqzisGPgnV9lChoBmgJaA9DCKX1twTgeG5AlIaUUpRoFU0lAWgWR0CVa1G9HtngdX2UKGgGaAloD0MINuUK73KmcECUhpRSlGgVTbMBaBZHQJVrX7oB7u51fZQoaAZoCWgPQwjayeAoOcFxQJSGlFKUaBVNDwJoFkdAlWw3AEdNnHV9lChoBmgJaA9DCGiSWFLu2W9AlIaUUpRoFU0dAWgWR0CVbGgA6uGLdWUu"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 248, "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-5.10.147+-x86_64-with-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.9.16", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}
|
lunar_lander_ppo.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:bc660a1233f7935723e7dec868fdac45468bc1f415dcdc280cc183e6f757810c
|
| 3 |
+
size 147407
|
lunar_lander_ppo/data
CHANGED
|
@@ -44,11 +44,11 @@
|
|
| 44 |
},
|
| 45 |
"n_envs": 16,
|
| 46 |
"num_timesteps": 1015808,
|
| 47 |
-
"_total_timesteps": 1000000,
|
| 48 |
"_num_timesteps_at_start": 0,
|
| 49 |
"seed": null,
|
| 50 |
"action_noise": null,
|
| 51 |
-
"start_time":
|
| 52 |
"learning_rate": 0.0003,
|
| 53 |
"tensorboard_log": null,
|
| 54 |
"lr_schedule": {
|
|
@@ -57,11 +57,11 @@
|
|
| 57 |
},
|
| 58 |
"_last_obs": {
|
| 59 |
":type:": "<class 'numpy.ndarray'>",
|
| 60 |
-
":serialized:": "
|
| 61 |
},
|
| 62 |
"_last_episode_starts": {
|
| 63 |
":type:": "<class 'numpy.ndarray'>",
|
| 64 |
-
":serialized:": "
|
| 65 |
},
|
| 66 |
"_last_original_obs": null,
|
| 67 |
"_episode_num": 0,
|
|
@@ -70,21 +70,21 @@
|
|
| 70 |
"_current_progress_remaining": -0.015808000000000044,
|
| 71 |
"ep_info_buffer": {
|
| 72 |
":type:": "<class 'collections.deque'>",
|
| 73 |
-
":serialized:": "
|
| 74 |
},
|
| 75 |
"ep_success_buffer": {
|
| 76 |
":type:": "<class 'collections.deque'>",
|
| 77 |
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
|
| 78 |
},
|
| 79 |
-
"_n_updates":
|
| 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:": "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"
|
|
|
|
| 44 |
},
|
| 45 |
"n_envs": 16,
|
| 46 |
"num_timesteps": 1015808,
|
| 47 |
+
"_total_timesteps": 1000000.0,
|
| 48 |
"_num_timesteps_at_start": 0,
|
| 49 |
"seed": null,
|
| 50 |
"action_noise": null,
|
| 51 |
+
"start_time": 1679646278690210133,
|
| 52 |
"learning_rate": 0.0003,
|
| 53 |
"tensorboard_log": null,
|
| 54 |
"lr_schedule": {
|
|
|
|
| 57 |
},
|
| 58 |
"_last_obs": {
|
| 59 |
":type:": "<class 'numpy.ndarray'>",
|
| 60 |
+
":serialized:": "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"
|
| 61 |
},
|
| 62 |
"_last_episode_starts": {
|
| 63 |
":type:": "<class 'numpy.ndarray'>",
|
| 64 |
+
":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
|
| 65 |
},
|
| 66 |
"_last_original_obs": null,
|
| 67 |
"_episode_num": 0,
|
|
|
|
| 70 |
"_current_progress_remaining": -0.015808000000000044,
|
| 71 |
"ep_info_buffer": {
|
| 72 |
":type:": "<class 'collections.deque'>",
|
| 73 |
+
":serialized:": "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"
|
| 74 |
},
|
| 75 |
"ep_success_buffer": {
|
| 76 |
":type:": "<class 'collections.deque'>",
|
| 77 |
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
|
| 78 |
},
|
| 79 |
+
"_n_updates": 248,
|
| 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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"
|
lunar_lander_ppo/policy.optimizer.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 87929
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5413f0548805b69fee1c81991dcddd1ad4599c69c880a8ff2dcc452364744454
|
| 3 |
size 87929
|
lunar_lander_ppo/policy.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 43393
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c314a0788ea444f553d3f8b477cd439b17b3f9eade42bbc66b3501f026968bf9
|
| 3 |
size 43393
|
replay.mp4
CHANGED
|
Binary files a/replay.mp4 and b/replay.mp4 differ
|
|
|
results.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"mean_reward":
|
|
|
|
| 1 |
+
{"mean_reward": 255.43477437556766, "std_reward": 14.448790381178886, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-24T08:52:46.699306"}
|