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config.py
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config.py
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from config.config import DefaultConfig
class AlgoConfig(DefaultConfig):
def __init__(self) -> None:
# set epsilon_start=epsilon_end can obtain fixed epsilon=epsilon_end
self.epsilon_start = 0.95 # epsilon start value
self.epsilon_end = 0.01 # epsilon end value
self.epsilon_decay = 500 # epsilon decay rate
self.gamma = 0.99 # discount factor
self.lr = 0.0001 # learning rate
self.buffer_size = 100000 # size of replay buffer
self.batch_size = 64 # batch size
self.target_update = 4 # target network update frequency
self.value_layers = [
{'layer_type': 'linear', 'layer_dim': ['n_states', 256],
'activation': 'relu'},
{'layer_type': 'linear', 'layer_dim': [256, 256],
'activation': 'relu'},
{'layer_type': 'linear', 'layer_dim': [256, 'n_actions'],
'activation': 'none'}]