DQN_MountainCar-v0 / config.json
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``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 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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:": 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