Keras Deep Learning Cookbook

Init code base

The preceding described code is listed in the following snippet: 

class DQNAgent(AbstractDQNAgent):     def __init__(self, model, policy=None, test_policy=None, enable_double_dqn=False,               enable_dueling_network=False,              dueling_type='avg', *args, **kwargs): super(DQNAgent, self).__init__(*args, **kwargs) # Validate (important) input. if hasattr(model.output, '__len__') and len(model.output) > 1:            raise ValueError('Model "{}" has more than one output. DQN expects a model that has a single output.'.format(model))        if model.output._keras_shape != (None, self.nb_actions):            raise ValueError('Model output "{}" has invalid shape. DQN expects a model that has one dimension for each action, in this case {}.'.format(model.output, self.nb_actions)) ...