| {"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVMAAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLmRxbi5wb2xpY2llc5SMCURRTlBvbGljeZSTlC4=", "__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 0x7f36b2857320>", "_build": "<function DQNPolicy._build at 0x7f36b28573b0>", "make_q_net": "<function DQNPolicy.make_q_net at 0x7f36b2857440>", "forward": "<function DQNPolicy.forward at 0x7f36b28574d0>", "_predict": "<function DQNPolicy._predict at 0x7f36b2857560>", "_get_constructor_parameters": "<function DQNPolicy._get_constructor_parameters at 0x7f36b28575f0>", "set_training_mode": "<function DQNPolicy.set_training_mode at 0x7f36b2857680>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f36b284f3f0>"}, "verbose": 1, "policy_kwargs": {"net_arch": [256, 128, 96]}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "gAWVYwEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLAoWUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWCAAAAAAAAACamZm/KVyPvZRoCksChZSMAUOUdJRSlIwEaGlnaJRoEiiWCAAAAAAAAACamRk/KVyPPZRoCksChZRoFXSUUpSMDWJvdW5kZWRfYmVsb3eUaBIolgIAAAAAAAAAAQGUaAeMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLAoWUaBV0lFKUjA1ib3VuZGVkX2Fib3ZllGgSKJYCAAAAAAAAAAEBlGghSwKFlGgVdJRSlIwKX25wX3JhbmRvbZROdWIu", "dtype": "float32", "_shape": [2], "low": "[-1.2 -0.07]", "high": "[0.6 0.07]", "bounded_below": "[ True True]", "bounded_above": "[ True True]", "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "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", "n": 3, "_shape": [], "dtype": "int64", "_np_random": "RandomState(MT19937)"}, "n_envs": 1, "num_timesteps": 117008, "_total_timesteps": 117000, "_num_timesteps_at_start": 0, "seed": 21121, "action_noise": null, "start_time": 1652294779.8792417, "learning_rate": 0.004, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVfQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYIAAAAAAAAANxYlr5YHS49lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwKGlIwBQ5R0lFKULg=="}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAAGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVfQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYIAAAAAAAAAIccrL5qei89lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwKGlIwBQ5R0lFKULg=="}, "_episode_num": 717, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -6.837606837617471e-05, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 58008, "buffer_size": 10000, "batch_size": 128, "learning_starts": 1000, "tau": 1.0, "gamma": 0.99, "gradient_steps": 8, "optimize_memory_usage": false, "replay_buffer_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVNQAAAAAAAACMIHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5idWZmZXJzlIwMUmVwbGF5QnVmZmVylJOULg==", "__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 0x7f36b28aae60>", "add": "<function ReplayBuffer.add at 0x7f36b28aaef0>", "sample": "<function ReplayBuffer.sample at 0x7f36b28aaf80>", "_get_samples": "<function ReplayBuffer._get_samples at 0x7f36b282f050>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f36b28a72d0>"}, "replay_buffer_kwargs": {}, "train_freq": {":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>", ":serialized:": "gAWVYQAAAAAAAACMJXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi50eXBlX2FsaWFzZXOUjAlUcmFpbkZyZXGUk5RLEGgAjBJUcmFpbkZyZXF1ZW5jeVVuaXSUk5SMBHN0ZXCUhZRSlIaUgZQu"}, "actor": null, "use_sde_at_warmup": false, "exploration_initial_eps": 1.0, "exploration_final_eps": 0.08, "exploration_fraction": 0.2, "target_update_interval": 600, "_n_calls": 117008, "max_grad_norm": 10, "exploration_rate": 0.08, "exploration_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "system_info": {"OS": "Linux-5.10.107+-x86_64-with-debian-bullseye-sid #1 SMP Sun Apr 24 15:04:08 UTC 2022", "Python": "3.7.12", "Stable-Baselines3": "1.5.0", "PyTorch": "1.9.1", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}} |