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{ |
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"policy_class": { |
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":type:": "<class 'abc.ABCMeta'>", |
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"__module__": "sb3_contrib.qrdqn.policies", |
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"__doc__": "\n Policy class with quantile and target networks for QR-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 n_quantiles: Number of quantiles\n :param net_arch: The specification of the network architecture.\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 ", |
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"__init__": "<function QRDQNPolicy.__init__ at 0x7f40447aa9e0>", |
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"_build": "<function QRDQNPolicy._build at 0x7f40447aaa70>", |
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"make_quantile_net": "<function QRDQNPolicy.make_quantile_net at 0x7f40447aab00>", |
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"forward": "<function QRDQNPolicy.forward at 0x7f40447aab90>", |
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"_predict": "<function QRDQNPolicy._predict at 0x7f40447aac20>", |
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"_get_constructor_parameters": "<function QRDQNPolicy._get_constructor_parameters at 0x7f40447aacb0>", |
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"set_training_mode": "<function QRDQNPolicy.set_training_mode at 0x7f40447aad40>", |
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"__abstractmethods__": "frozenset()", |
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"_abc_impl": "<_abc_data object at 0x7f40447f9fc0>" |
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}, |
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"verbose": 1, |
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"policy_kwargs": { |
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":type:": "<class 'dict'>", |
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"net_arch": [ |
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256, |
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], |
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"n_quantiles": 25, |
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"optimizer_class": "<class 'torch.optim.adam.Adam'>", |
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"optimizer_kwargs": { |
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"eps": 7.8125e-05 |
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} |
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}, |
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"dtype": "float32", |
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"low": "[-1.2 -0.07]", |
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"high": "[0.6 0.07]", |
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"bounded_below": "[ True True]", |
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"bounded_above": "[ True True]", |
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"__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 ", |
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} |