| { | |
| "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 0x7fc49228b940>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fc49228b9d0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fc49228ba60>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fc49228baf0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7fc49228bb80>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7fc49228bc10>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fc49228bca0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fc49228bd30>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7fc49228bdc0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fc49228be50>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fc49228bee0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fc49228bf70>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7fc4922876c0>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "observation_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "gAWVnwEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLCIWUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWIAAAAAAAAAAAAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/AACA/5RoCksIhZSMAUOUdJRSlIwEaGlnaJRoEiiWIAAAAAAAAAAAAIB/AACAfwAAgH8AAIB/AACAfwAAgH8AAIB/AACAf5RoCksIhZRoFXSUUpSMDWJvdW5kZWRfYmVsb3eUaBIolggAAAAAAAAAAAAAAAAAAACUaAeMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLCIWUaBV0lFKUjA1ib3VuZGVkX2Fib3ZllGgSKJYIAAAAAAAAAAAAAAAAAAAAlGghSwiFlGgVdJRSlIwKX25wX3JhbmRvbZROdWIu", | |
| "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": 1015808, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1677613493694760657, | |
| "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:": "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:": "gAWVfRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIsMivH2LnTUCUhpRSlIwBbJRNAQGMAXSUR0Crl/9onKGMdX2UKGgGaAloD0MIlX8tr9y8YUCUhpRSlGgVTegDaBZHQKuZ5BTn7pF1fZQoaAZoCWgPQwiDiNS0Cx5lQJSGlFKUaBVN6ANoFkdAq5o2nbZezHV9lChoBmgJaA9DCEKY273c4WZAlIaUUpRoFU3oA2gWR0CrmsdEsrd4dX2UKGgGaAloD0MI+boM/2kmaECUhpRSlGgVTegDaBZHQKua/pWV/tp1fZQoaAZoCWgPQwjFkJxMXDthQJSGlFKUaBVN6ANoFkdAq54ivJRwZXV9lChoBmgJaA9DCLDG2XSEZmFAlIaUUpRoFU3oA2gWR0CrrxxzJZGKdX2UKGgGaAloD0MIrKksCjsOZECUhpRSlGgVTegDaBZHQKuv8WuX/o91fZQoaAZoCWgPQwgrMGR1KylmQJSGlFKUaBVN6ANoFkdAq7EzupjtonV9lChoBmgJaA9DCCo6kss/1HBAlIaUUpRoFU2lAmgWR0Crsr3wCr93dX2UKGgGaAloD0MINlg4SXOnYECUhpRSlGgVTegDaBZHQKuzJWTX8O11fZQoaAZoCWgPQwgKE0azMpVkQJSGlFKUaBVN6ANoFkdAq7OD9wWFe3V9lChoBmgJaA9DCBx+N90y4mZAlIaUUpRoFU3oA2gWR0CruTbSZ0CBdX2UKGgGaAloD0MIRIts53trZkCUhpRSlGgVTegDaBZHQKu6+jqOcUd1fZQoaAZoCWgPQwgUlnhA2aBjQJSGlFKUaBVN6ANoFkdAq7sguuieunV9lChoBmgJaA9DCDUomgcwVGBAlIaUUpRoFU3oA2gWR0Cruyt9ph4MdX2UKGgGaAloD0MIZoS3ByGocUCUhpRSlGgVTWoBaBZHQKu+/gVoHs11fZQoaAZoCWgPQwhkAn6NJFdoQJSGlFKUaBVN6ANoFkdAq8WExEfDDXV9lChoBmgJaA9DCLK5ap6jl2VAlIaUUpRoFU3oA2gWR0Crx0sHB1s+dX2UKGgGaAloD0MI5bM8D+6db0CUhpRSlGgVTWsDaBZHQKvHYelsP8R1fZQoaAZoCWgPQwjHZdzUwDFkQJSGlFKUaBVN6ANoFkdAq8eU0rK/23V9lChoBmgJaA9DCBKhEWzckWNAlIaUUpRoFU3oA2gWR0CryBauGKyfdX2UKGgGaAloD0MIcF6c+OqvY0CUhpRSlGgVTegDaBZHQKvIRuXu3MJ1fZQoaAZoCWgPQwjir8ka9SJlQJSGlFKUaBVN6ANoFkdAq9lukLx7RnV9lChoBmgJaA9DCJ5haksdU1BAlIaUUpRoFU0JAWgWR0Cr2n/ustCidX2UKGgGaAloD0MIpDMw8jJDZUCUhpRSlGgVTegDaBZHQKva0JbdJrd1fZQoaAZoCWgPQwj2l92Th1djQJSGlFKUaBVN6ANoFkdAq9zQ0waisXV9lChoBmgJaA9DCDM2dLO/7mFAlIaUUpRoFU3oA2gWR0Cr31zErGzbdX2UKGgGaAloD0MIrimQ2VlRYkCUhpRSlGgVTegDaBZHQKvgotvn8sN1fZQoaAZoCWgPQwh7L75oD8VkQJSGlFKUaBVN6ANoFkdAq+dgKrq+rXV9lChoBmgJaA9DCEt4Qq8/mmRAlIaUUpRoFU3oA2gWR0Cr6Rl7laKUdX2UKGgGaAloD0MIFw6EZAFuX0CUhpRSlGgVTegDaBZHQKvpNhBqsU91fZQoaAZoCWgPQwikx+9t+j1lQJSGlFKUaBVN6ANoFkdAq+k+tGNJe3V9lChoBmgJaA9DCBReglOfpGVAlIaUUpRoFU3oA2gWR0Cr7A3mmtQsdX2UKGgGaAloD0MIILOz6B1vY0CUhpRSlGgVTegDaBZHQKvxJZaFEiN1fZQoaAZoCWgPQwi7mGa6V85hQJSGlFKUaBVN6ANoFkdAq/MBdpqREHV9lChoBmgJaA9DCCgNNQpJ5GNAlIaUUpRoFU3oA2gWR0Cr8xqohpxndX2UKGgGaAloD0MIsTGvIw5iYkCUhpRSlGgVTegDaBZHQKvzVSAH3UR1fZQoaAZoCWgPQwjl1M4wtQhkQJSGlFKUaBVN6ANoFkdAq/PZwZOzp3V9lChoBmgJaA9DCN+LL9pjcG9AlIaUUpRoFU2UAWgWR0Cr9akcS5AhdX2UKGgGaAloD0MI7pdPVowRYECUhpRSlGgVTegDaBZHQKwINfUnXup1fZQoaAZoCWgPQwimfXN/9aNaQJSGlFKUaBVN6ANoFkdArAjw3xWkrXV9lChoBmgJaA9DCIfCZ+vgumBAlIaUUpRoFU3oA2gWR0CsCSdXT3IudX2UKGgGaAloD0MIQUgWMIE2YUCUhpRSlGgVTegDaBZHQKwKaeU6gdx1fZQoaAZoCWgPQwj5oj1eSKZjQJSGlFKUaBVN6ANoFkdArAv5MzuWr3V9lChoBmgJaA9DCJ/Nqs/V+GZAlIaUUpRoFU3oA2gWR0CsDM1klNUPdX2UKGgGaAloD0MII4eIm9MfcECUhpRSlGgVTbMBaBZHQKwM+l3Qla91fZQoaAZoCWgPQwjFkJxM3KYwQJSGlFKUaBVNDwFoFkdArBCJHAh0Q3V9lChoBmgJaA9DCI2WAz1UmGNAlIaUUpRoFU3oA2gWR0CsEjT8YQ8PdX2UKGgGaAloD0MIJnDrbp7rZECUhpRSlGgVTegDaBZHQKwT2VIqbz91fZQoaAZoCWgPQwgBomDGFFZfQJSGlFKUaBVN6ANoFkdArBP7QZ4wAXV9lChoBmgJaA9DCOSghJm2c05AlIaUUpRoFU0nAWgWR0CsFcdHtnf3dX2UKGgGaAloD0MI68iRzkACYUCUhpRSlGgVTegDaBZHQKwXcUQkHD91fZQoaAZoCWgPQwjS30vhwSJvQJSGlFKUaBVNKQNoFkdArBh37k4m1XV9lChoBmgJaA9DCJTA5hw8xGRAlIaUUpRoFU3oA2gWR0CsHWS/KyOadX2UKGgGaAloD0MI/Ul87oS+ZUCUhpRSlGgVTegDaBZHQKwfOVeKKpF1fZQoaAZoCWgPQwhFZFjFmwJnQJSGlFKUaBVN6ANoFkdArB+56yB063V9lChoBmgJaA9DCJzfMNGgFGRAlIaUUpRoFU3oA2gWR0CsIYKbjLjhdX2UKGgGaAloD0MIF7zoK0hTSkCUhpRSlGgVTRUBaBZHQKwlht/nW8R1fZQoaAZoCWgPQwhNMnIW9iBKQJSGlFKUaBVL8WgWR0CsMHJuMuOCdX2UKGgGaAloD0MIJgD/lCrSX0CUhpRSlGgVTegDaBZHQKwxeLa24NJ1fZQoaAZoCWgPQwjVWwNbpfBoQJSGlFKUaBVN6ANoFkdArDK3WxyGSXV9lChoBmgJaA9DCEhQ/BizpHBAlIaUUpRoFU2GA2gWR0CsM9IN3GGVdX2UKGgGaAloD0MITWn9LQE5YUCUhpRSlGgVTegDaBZHQKw0fc1wYLt1fZQoaAZoCWgPQwgbu0T1VvRkQJSGlFKUaBVN6ANoFkdArDao5eZ5RnV9lChoBmgJaA9DCMql8QuvfEZAlIaUUpRoFU0JAWgWR0CsOwadMCcPdX2UKGgGaAloD0MIuoeE7/1DUkCUhpRSlGgVTRABaBZHQKw8Fci4axZ1fZQoaAZoCWgPQwihavRqgNFiQJSGlFKUaBVN6ANoFkdArDy8M3IdVHV9lChoBmgJaA9DCHOBy2PNwERAlIaUUpRoFUv2aBZHQKw9gkqtozx1fZQoaAZoCWgPQwjTo6meTEFjQJSGlFKUaBVN6ANoFkdArD6QexOclXV9lChoBmgJaA9DCE5iEFg5aDZAlIaUUpRoFUvvaBZHQKw+6E3bVSZ1fZQoaAZoCWgPQwgHtkqwuHxgQJSGlFKUaBVN6ANoFkdArEAC6Ymb9nV9lChoBmgJaA9DCNXt7CuP4GBAlIaUUpRoFU3oA2gWR0CsQBlzEJjUdX2UKGgGaAloD0MIbatZZ3yoZECUhpRSlGgVTegDaBZHQKxBUxesxPB1fZQoaAZoCWgPQwjf+UUJ+lZjQJSGlFKUaBVN6ANoFkdArEKYsVclgXV9lChoBmgJaA9DCFsiF5zBc0tAlIaUUpRoFUviaBZHQKxDDE/B3zN1fZQoaAZoCWgPQwjXiGAcXDdnQJSGlFKUaBVN6ANoFkdArENTbDdgv3V9lChoBmgJaA9DCH+kiAxrjnBAlIaUUpRoFU2ZAmgWR0CsR8s6BAfMdX2UKGgGaAloD0MI19zR/3JXXkCUhpRSlGgVTegDaBZHQKxJmfaHsTp1fZQoaAZoCWgPQwi9++O9amtrQJSGlFKUaBVNTwNoFkdArErCOFQEZHV9lChoBmgJaA9DCMFXdOu1iGNAlIaUUpRoFU3oA2gWR0CsS2Q0waisdX2UKGgGaAloD0MIcHmsGZk1bUCUhpRSlGgVTesBaBZHQKxepLpRoAZ1fZQoaAZoCWgPQwgPuoRDb8plQJSGlFKUaBVN6ANoFkdArF+kNrj5sXV9lChoBmgJaA9DCBmSk4nbL25AlIaUUpRoFU2BAWgWR0CsYf+0G/vfdX2UKGgGaAloD0MI9P3UeGk/aECUhpRSlGgVTegDaBZHQKxk+1Bt1p11fZQoaAZoCWgPQwiyD7IsGOpiQJSGlFKUaBVN6ANoFkdArGXp6nivPnV9lChoBmgJaA9DCKSnyCHiy2ZAlIaUUpRoFU3oA2gWR0CsZzJ5u63BdX2UKGgGaAloD0MIiZenc0U0YUCUhpRSlGgVTegDaBZHQKxoEywfQrt1fZQoaAZoCWgPQwh47GexlABnQJSGlFKUaBVN6ANoFkdArGhcinpB5XV9lChoBmgJaA9DCED35cx2xF9AlIaUUpRoFU3oA2gWR0CsaTynLq2SdX2UKGgGaAloD0MILQWk/Q/fY0CUhpRSlGgVTegDaBZHQKxpT1nM+vB1fZQoaAZoCWgPQwgQdopVg9dkQJSGlFKUaBVN6ANoFkdArGpd0xM363V9lChoBmgJaA9DCDc0ZacfB2dAlIaUUpRoFU3oA2gWR0Csa3JDeCTVdX2UKGgGaAloD0MIAOXv3lGPMUCUhpRSlGgVTRABaBZHQKxrn/y5I6N1fZQoaAZoCWgPQwgF4J9SpdRmQJSGlFKUaBVN6ANoFkdArGvdE7W/anV9lChoBmgJaA9DCD2YFB8fM2VAlIaUUpRoFU3oA2gWR0CscXJPRArydX2UKGgGaAloD0MI56c4DjzcZUCUhpRSlGgVTegDaBZHQKx1ORU3n6l1fZQoaAZoCWgPQwgSFaqbCytmQJSGlFKUaBVN6ANoFkdArHXNCXyAhHV9lChoBmgJaA9DCJViR+PQGHJAlIaUUpRoFU3ZAWgWR0CsetJtSAH3dX2UKGgGaAloD0MImggbnt7Oa0CUhpRSlGgVTa4CaBZHQKx7LMGorFx1ZS4=" | |
| }, | |
| "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 | |
| } |