kingabzpro's picture
Hparams-optimized-4
065fe6f
raw
history blame
No virus
15.1 kB
{"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 0x7fba7bdd8f80>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fba7bddf050>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fba7bddf0e0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fba7bddf170>", "_build": "<function ActorCriticPolicy._build at 0x7fba7bddf200>", "forward": "<function ActorCriticPolicy.forward at 0x7fba7bddf290>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fba7bddf320>", "_predict": "<function ActorCriticPolicy._predict at 0x7fba7bddf3b0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fba7bddf440>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fba7bddf4d0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fba7bddf560>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fba7be1cdb0>"}, "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": 32, "num_timesteps": 520000, "_total_timesteps": 500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1652299366.0560315, "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:": "gAWVkwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksghZSMAUOUdJRSlC4="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.040000000000000036, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 250, "n_steps": 650, "gamma": 0.997, "gae_lambda": 0.98, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 32, "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-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022", "Python": "3.7.13", "Stable-Baselines3": "1.5.0", "PyTorch": "1.11.0+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}