File size: 14,597 Bytes
685393f |
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 0x7f6142fed0e0>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f6142fed170>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f6142fed200>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f6142fed290>",
"_build": "<function ActorCriticPolicy._build at 0x7f6142fed320>",
"forward": "<function ActorCriticPolicy.forward at 0x7f6142fed3b0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f6142fed440>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f6142fed4d0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f6142fed560>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f6142fed5f0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f6142fed680>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7f614303f510>"
},
"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": 1652781175.0434828,
"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": -0.007616000000000067,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "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"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 492,
"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
} |