File size: 18,863 Bytes
7b4b94b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 |
{
"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 0x7fa48d3d2ee0>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fa48d3d2f70>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fa48d3d4040>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fa48d3d40d0>",
"_build": "<function ActorCriticPolicy._build at 0x7fa48d3d4160>",
"forward": "<function ActorCriticPolicy.forward at 0x7fa48d3d41f0>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7fa48d3d4280>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fa48d3d4310>",
"_predict": "<function ActorCriticPolicy._predict at 0x7fa48d3d43a0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fa48d3d4430>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fa48d3d44c0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7fa48d3d4550>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7fa48dad1f00>"
},
"verbose": 1,
"policy_kwargs": {},
"observation_space": {
":type:": "<class 'gym.spaces.box.Box'>",
":serialized:": "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",
"dtype": "float64",
"_shape": [
11
],
"low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf]",
"high": "[inf inf inf inf inf inf inf inf inf inf inf]",
"bounded_below": "[False False False False False False False False False False False]",
"bounded_above": "[False False False False False False False False False False False]",
"_np_random": null
},
"action_space": {
":type:": "<class 'gym.spaces.box.Box'>",
":serialized:": "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",
"dtype": "float32",
"_shape": [
3
],
"low": "[-1. -1. -1.]",
"high": "[1. 1. 1.]",
"bounded_below": "[ True True True]",
"bounded_above": "[ True True True]",
"_np_random": "RandomState(MT19937)"
},
"n_envs": 1,
"num_timesteps": 1001472,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": 0,
"action_noise": null,
"start_time": 1675875083557760434,
"learning_rate": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"tensorboard_log": "runs/Hopper-v3__trpo__3691468246__1675875079/Hopper-v3",
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"_last_obs": null,
"_last_episode_starts": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWVdQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYCAAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksChZSMAUOUdJRSlC4="
},
"_last_original_obs": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWVJQEAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJawAAAAAAAAAA3DAdKu+vM/QlHwe8i0Vr/BUYvJiBxxP4D7CiHaVVu/VueGohzBbD8gqsteulkhvw/u7sdj0me/qowZNZ9HbT8AZJPaY61Uvy58bFX5f2W/kKc752h7Qb+VCNkjRvfzP5BYnDawKVY/5r0osn7ybb/FGsKvRF5wv9itGiXhRl+/yISBfrCmbL+UqRwlEwptvx1ZPZ1TvXA/zKe2LZfoVT8qfWVkU2puP7EvgG8jf2+/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksCSwuGlIwBQ5R0lFKULg=="
},
"_episode_num": 0,
"use_sde": false,
"sde_sample_freq": -1,
"_current_progress_remaining": -0.0014719999999999178,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "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"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 489,
"n_steps": 1024,
"gamma": 0.99,
"gae_lambda": 0.95,
"ent_coef": 0.0,
"vf_coef": 0.0,
"max_grad_norm": 0.0,
"normalize_advantage": true,
"batch_size": 128,
"cg_max_steps": 25,
"cg_damping": 0.1,
"line_search_shrinking_factor": 0.8,
"line_search_max_iter": 10,
"target_kl": 0.01,
"n_critic_updates": 20,
"sub_sampling_factor": 1
} |