tensorforce/agents/agent.py
def reset(self):
        """
        Resets the agent to its initial state (e.g. on experiment start). Updates the Model's internal episode and
        time step counter, internal states, and resets preprocessors.
        """
        self.episode, self.timestep, self.next_internals = self.model.reset()
        self.current_internals = self.next_internals
def reset(self):
        """
        Resets the agent to its initial state (e.g. on experiment start). Updates the Model's internal episode and
        time step counter, internal states, and resets preprocessors.
        """
        self.episode, self.timestep, self.next_internals = self.model.reset()
        self.current_internals = self.next_internals
def reset ( self ) : self . episode , self . timestep , self . next_internals = self . model . reset ( ) self . current_internals = self . next_internals
Resets the agent to its initial state (e.g. on experiment start). Updates the Model's internal episode and
        time step counter, internal states, and resets preprocessors.
Resets the agent to its initial state ( e . g . on experiment start ) . Updates the Model s internal episode and time step counter internal states and resets preprocessors .