just finished this part 1 of the RL course, EZ Clap 228 mean reward, very ez indeed
578a015
{ | |
"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 0x7f3df8ee6ef0>", | |
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f3df8ee6f80>", | |
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f3df8eed050>", | |
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f3df8eed0e0>", | |
"_build": "<function ActorCriticPolicy._build at 0x7f3df8eed170>", | |
"forward": "<function ActorCriticPolicy.forward at 0x7f3df8eed200>", | |
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f3df8eed290>", | |
"_predict": "<function ActorCriticPolicy._predict at 0x7f3df8eed320>", | |
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f3df8eed3b0>", | |
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f3df8eed440>", | |
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f3df8eed4d0>", | |
"__abstractmethods__": "frozenset()", | |
"_abc_impl": "<_abc_data object at 0x7f3df8f405d0>" | |
}, | |
"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": 1669252367928976710, | |
"learning_rate": 0.0003, | |
"tensorboard_log": null, | |
"lr_schedule": { | |
":type:": "<class 'function'>", | |
":serialized:": "gAWVwQIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsBSwFLE0MEiABTAJROhZQpjAFflIWUjEgvdXNyL2xvY2FsL2xpYi9weXRob24zLjcvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuAQwIAAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjEgvdXNyL2xvY2FsL2xpYi9weXRob24zLjcvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUdU5OaACMEF9tYWtlX2VtcHR5X2NlbGyUk5QpUpSFlHSUUpSMHGNsb3VkcGlja2xlLmNsb3VkcGlja2xlX2Zhc3SUjBJfZnVuY3Rpb25fc2V0c3RhdGWUk5RoH32UfZQoaBZoDYwMX19xdWFsbmFtZV9flIwZY29uc3RhbnRfZm4uPGxvY2Fscz4uZnVuY5SMD19fYW5ub3RhdGlvbnNfX5R9lIwOX19rd2RlZmF1bHRzX1+UTowMX19kZWZhdWx0c19flE6MCl9fbW9kdWxlX1+UaBeMB19fZG9jX1+UTowLX19jbG9zdXJlX1+UaACMCl9tYWtlX2NlbGyUk5RHPzOpKjBVMmGFlFKUhZSMF19jbG91ZHBpY2tsZV9zdWJtb2R1bGVzlF2UjAtfX2dsb2JhbHNfX5R9lHWGlIZSMC4=" | |
}, | |
"_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": 124, | |
"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 | |
} |