38 lines
1.5 KiB
Python
38 lines
1.5 KiB
Python
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class DefaultConfig:
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def __init__(self) -> None:
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pass
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def print_cfg(self):
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print(self.__dict__)
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class GeneralConfig(DefaultConfig):
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def __init__(self) -> None:
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self.env_name = "CartPole-v1" # name of environment
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self.algo_name = "DQN" # name of algorithm
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self.mode = "train" # train or test
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self.seed = 0 # random seed
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self.device = "cuda" # device to use
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self.train_eps = 200 # number of episodes for training
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self.test_eps = 20 # number of episodes for testing
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self.eval_eps = 10 # number of episodes for evaluation
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self.eval_per_episode = 5 # evaluation per episode
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self.max_steps = 200 # max steps for each episode
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self.load_checkpoint = False
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self.load_path = None # path to load model
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self.show_fig = False # show figure or not
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self.save_fig = True # save figure or not
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class AlgoConfig(DefaultConfig):
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def __init__(self) -> None:
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# set epsilon_start=epsilon_end can obtain fixed epsilon=epsilon_end
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# self.epsilon_start = 0.95 # epsilon start value
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# self.epsilon_end = 0.01 # epsilon end value
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# self.epsilon_decay = 500 # epsilon decay rate
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self.gamma = 0.95 # discount factor
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# self.lr = 0.0001 # learning rate
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# self.buffer_size = 100000 # size of replay buffer
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# self.batch_size = 64 # batch size
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# self.target_update = 4 # target network update frequency
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class MergedConfig:
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def __init__(self) -> None:
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pass
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