| { | |
| "policy_class": { | |
| ":type:": "<class 'abc.ABCMeta'>", | |
| ":serialized:": "gAWVMAAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLmRxbi5wb2xpY2llc5SMCURRTlBvbGljeZSTlC4=", | |
| "__module__": "stable_baselines3.dqn.policies", | |
| "__annotations__": "{'q_net': <class 'stable_baselines3.dqn.policies.QNetwork'>, 'q_net_target': <class 'stable_baselines3.dqn.policies.QNetwork'>}", | |
| "__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 0x298ec7880>", | |
| "_build": "<function DQNPolicy._build at 0x298ec7910>", | |
| "make_q_net": "<function DQNPolicy.make_q_net at 0x298ec79a0>", | |
| "forward": "<function DQNPolicy.forward at 0x298ec7a30>", | |
| "_predict": "<function DQNPolicy._predict at 0x298ec7ac0>", | |
| "_get_constructor_parameters": "<function DQNPolicy._get_constructor_parameters at 0x298ec7b50>", | |
| "set_training_mode": "<function DQNPolicy.set_training_mode at 0x298ec7be0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x298ee9340>" | |
| }, | |
| "verbose": 2, | |
| "policy_kwargs": {}, | |
| "num_timesteps": 1000000, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1721716908791064000, | |
| "learning_rate": 0.001, | |
| "tensorboard_log": null, | |
| "_last_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWV9QAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJaAAAAAAAAAAPFXAr/qCJm8H8QBv22MSLwylQq/+zwkvMbvDb+VmES8cn8Kv/CWJLxzExC/9KyIvAkaBL+thae8aCLyvpetq7ytTRO/lmAovOO+C79l8jq8U/cHv9L3zrtXXwm/7SyjvDQlHr+Y0aC8/dARvx+yprxSgwm/jy6rvJgsGL+b6p68lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwKGlIwBQ5R0lFKULg==" | |
| }, | |
| "_last_episode_starts": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAEBAQEBAQEBAQEBAQEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg==" | |
| }, | |
| "_last_original_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWV9QAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJaAAAAAAAAAAFMf+76az46820P9vuCcNLw+BAi/ri8lvGTdCr/76Ea8Fu0Hv4d+JbwLzgu/zQ6KvLi7/b48nJ28j2fnvlgen7wqrBC/k3ctvBnTCL9ZSDy8Y1kGv3xDz7vvRQS/Jo+avKceGb8IXKW8bJsMvyFFqLzeKQS/DIqivEM1E79dEKK8lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwKGlIwBQ5R0lFKULg==" | |
| }, | |
| "_episode_num": 4992, | |
| "use_sde": false, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": 0.0, | |
| "_stats_window_size": 100, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 15610, | |
| "observation_space": { | |
| ":type:": "<class 'gymnasium.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "bounded_below": "[ True True]", | |
| "bounded_above": "[ True True]", | |
| "_shape": [ | |
| 2 | |
| ], | |
| "low": "[-1.2 -0.07]", | |
| "high": "[0.6 0.07]", | |
| "low_repr": "[-1.2 -0.07]", | |
| "high_repr": "[0.6 0.07]", | |
| "_np_random": null | |
| }, | |
| "action_space": { | |
| ":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", | |
| ":serialized:": "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", | |
| "n": "3", | |
| "start": "0", | |
| "_shape": [], | |
| "dtype": "int64", | |
| "_np_random": "Generator(PCG64)" | |
| }, | |
| "n_envs": 16, | |
| "buffer_size": 10000, | |
| "batch_size": 64, | |
| "learning_starts": 1000, | |
| "tau": 1.0, | |
| "gamma": 0.99, | |
| "gradient_steps": 1, | |
| "optimize_memory_usage": false, | |
| "replay_buffer_class": { | |
| ":type:": "<class 'abc.ABCMeta'>", | |
| ":serialized:": "gAWVNQAAAAAAAACMIHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5idWZmZXJzlIwMUmVwbGF5QnVmZmVylJOULg==", | |
| "__module__": "stable_baselines3.common.buffers", | |
| "__annotations__": "{'observations': <class 'numpy.ndarray'>, 'next_observations': <class 'numpy.ndarray'>, 'actions': <class 'numpy.ndarray'>, 'rewards': <class 'numpy.ndarray'>, 'dones': <class 'numpy.ndarray'>, 'timeouts': <class 'numpy.ndarray'>}", | |
| "__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: PyTorch 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 Cannot be used in combination with handle_timeout_termination.\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 0x298bfad40>", | |
| "add": "<function ReplayBuffer.add at 0x298bfadd0>", | |
| "sample": "<function ReplayBuffer.sample at 0x298bfae60>", | |
| "_get_samples": "<function ReplayBuffer._get_samples at 0x298bfaef0>", | |
| "_maybe_cast_dtype": "<staticmethod(<function ReplayBuffer._maybe_cast_dtype at 0x298bfaf80>)>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x2988ec740>" | |
| }, | |
| "replay_buffer_kwargs": {}, | |
| "train_freq": { | |
| ":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>", | |
| ":serialized:": "gAWVYQAAAAAAAACMJXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi50eXBlX2FsaWFzZXOUjAlUcmFpbkZyZXGUk5RLBGgAjBJUcmFpbkZyZXF1ZW5jeVVuaXSUk5SMBHN0ZXCUhZRSlIaUgZQu" | |
| }, | |
| "use_sde_at_warmup": false, | |
| "exploration_initial_eps": 1.0, | |
| "exploration_final_eps": 0.05, | |
| "exploration_fraction": 0.1, | |
| "target_update_interval": 500, | |
| "_n_calls": 62500, | |
| "max_grad_norm": 10, | |
| "exploration_rate": 0.05, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "batch_norm_stats": [], | |
| "batch_norm_stats_target": [], | |
| "exploration_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| } | |
| } |