Reinforcement Learning, Markov Decision Process, Deep Learning, Machine Learning, Artificial Intelligence.
return) Equation 1 : Total Return as a simple sum of all rewards in an episodic task Thus the return G at time t, is the sum of all rewards at time steps t+1, t+2,t+3…….. up to T. This definition of return G can be suitable for some episodic tasks. But for continuing tasks where the time of