File size: 18,096 Bytes
fedb65b |
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 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 |
{
"policy_class": {
":type:": "<class 'abc.ABCMeta'>",
":serialized:": "gASVMAAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLmRxbi5wb2xpY2llc5SMCURRTlBvbGljeZSTlC4=",
"__module__": "stable_baselines3.dqn.policies",
"__doc__": "\n Policy class with Q-Value Net and target net for DQN\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 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 DQNPolicy.__init__ at 0x7f0e2f7d2950>",
"_build": "<function DQNPolicy._build at 0x7f0e2f7d29e0>",
"make_q_net": "<function DQNPolicy.make_q_net at 0x7f0e2f7d2a70>",
"forward": "<function DQNPolicy.forward at 0x7f0e2f7d2b00>",
"_predict": "<function DQNPolicy._predict at 0x7f0e2f7d2b90>",
"_get_constructor_parameters": "<function DQNPolicy._get_constructor_parameters at 0x7f0e2f7d2c20>",
"set_training_mode": "<function DQNPolicy.set_training_mode at 0x7f0e2f7d2cb0>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7f0e2fc4d7e0>"
},
"verbose": 1,
"policy_kwargs": {
"net_arch": [
256,
256
]
},
"observation_space": {
":type:": "<class 'gym.spaces.box.Box'>",
":serialized:": "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",
"dtype": "float32",
"_shape": [
4
],
"low": "[-4.8000002e+00 -3.4028235e+38 -4.1887903e-01 -3.4028235e+38]",
"high": "[4.8000002e+00 3.4028235e+38 4.1887903e-01 3.4028235e+38]",
"bounded_below": "[ True True True True]",
"bounded_above": "[ True True True True]",
"_np_random": null
},
"action_space": {
":type:": "<class 'gym.spaces.discrete.Discrete'>",
":serialized:": "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",
"n": 2,
"_shape": [],
"dtype": "int64",
"_np_random": "RandomState(MT19937)"
},
"n_envs": 1,
"num_timesteps": 50176,
"_total_timesteps": 50000,
"_num_timesteps_at_start": 0,
"seed": 0,
"action_noise": null,
"start_time": 1654678072.0081553,
"learning_rate": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"tensorboard_log": null,
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"_last_obs": null,
"_last_episode_starts": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gASViQAAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSwGFlGgDjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYolDAQGUdJRiLg=="
},
"_last_original_obs": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gASVmgAAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSwFLBIaUaAOMBWR0eXBllJOUjAJmNJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiiUMQpLjePYGuP7+rLlO+oL0lPpR0lGIu"
},
"_episode_num": 459,
"use_sde": false,
"sde_sample_freq": -1,
"_current_progress_remaining": -0.0035199999999999676,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "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"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gASVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 24704,
"buffer_size": 1,
"batch_size": 64,
"learning_starts": 1000,
"tau": 1.0,
"gamma": 0.99,
"gradient_steps": 128,
"optimize_memory_usage": false,
"replay_buffer_class": {
":type:": "<class 'abc.ABCMeta'>",
":serialized:": "gASVNQAAAAAAAACMIHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5idWZmZXJzlIwMUmVwbGF5QnVmZmVylJOULg==",
"__module__": "stable_baselines3.common.buffers",
"__doc__": "\n Replay buffer used in off-policy algorithms like SAC/TD3.\n\n :param buffer_size: Max number of element in the buffer\n :param observation_space: Observation space\n :param action_space: Action space\n :param device:\n :param n_envs: Number of parallel environments\n :param optimize_memory_usage: Enable a memory efficient variant\n of the replay buffer which reduces by almost a factor two the memory used,\n at a cost of more complexity.\n See https://github.com/DLR-RM/stable-baselines3/issues/37#issuecomment-637501195\n and https://github.com/DLR-RM/stable-baselines3/pull/28#issuecomment-637559274\n :param handle_timeout_termination: Handle timeout termination (due to timelimit)\n separately and treat the task as infinite horizon task.\n https://github.com/DLR-RM/stable-baselines3/issues/284\n ",
"__init__": "<function ReplayBuffer.__init__ at 0x7f0e2fc59710>",
"add": "<function ReplayBuffer.add at 0x7f0e2fc597a0>",
"sample": "<function ReplayBuffer.sample at 0x7f0e2fc3e7a0>",
"_get_samples": "<function ReplayBuffer._get_samples at 0x7f0e2fc3e830>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7f0e2fd12f30>"
},
"replay_buffer_kwargs": {},
"train_freq": {
":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>",
":serialized:": "gASVYgAAAAAAAACMJXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi50eXBlX2FsaWFzZXOUjAlUcmFpbkZyZXGUk5RNAAFoAIwSVHJhaW5GcmVxdWVuY3lVbml0lJOUjARzdGVwlIWUUpSGlIGULg=="
},
"actor": null,
"use_sde_at_warmup": false,
"exploration_initial_eps": 1.0,
"exploration_final_eps": 0.04,
"exploration_fraction": 0.16,
"target_update_interval": 10,
"_n_calls": 50176,
"max_grad_norm": 10,
"exploration_rate": 0.04,
"exploration_schedule": {
":type:": "<class 'function'>",
":serialized:": "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"
}
} |