File size: 14,719 Bytes
d91348d |
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 |
{
"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 0x7f3fa9d2fd40>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f3fa9d2fdd0>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f3fa9d2fe60>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f3fa9d2fef0>",
"_build": "<function ActorCriticPolicy._build at 0x7f3fa9d2ff80>",
"forward": "<function ActorCriticPolicy.forward at 0x7f3fa9d38050>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f3fa9d380e0>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f3fa9d38170>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f3fa9d38200>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f3fa9d38290>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f3fa9d38320>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7f3fa9d8c180>"
},
"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": 507904,
"_total_timesteps": 500000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1651904653.5359175,
"learning_rate": 0.0003,
"tensorboard_log": null,
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "gAWVvwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwNX2J1aWx0aW5fdHlwZZSTlIwKTGFtYmRhVHlwZZSFlFKUKGgCjAhDb2RlVHlwZZSFlFKUKEsBSwBLAUsBSxNDBIgAUwCUToWUKYwBX5SFlIxIL3Vzci9sb2NhbC9saWIvcHl0aG9uMy43L2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lIwEZnVuY5RLgEMCAAGUjAN2YWyUhZQpdJRSlH2UKIwLX19wYWNrYWdlX1+UjBhzdGFibGVfYmFzZWxpbmVzMy5jb21tb26UjAhfX25hbWVfX5SMHnN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi51dGlsc5SMCF9fZmlsZV9flIxIL3Vzci9sb2NhbC9saWIvcHl0aG9uMy43L2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaCB9lH2UKGgXaA6MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgYjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz8zqSowVTJhhZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"
},
"_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": 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
} |