Reinforcement Learning, Deep Learning, Machine Learning, Neural Networks, Algorithms.
be positive, negative, or zero, depending on whether the agent’s action led to a desirable, undesirable, or neutral outcome. The agent’s objective is to learn a policy that maximizes the expected sum of future rewards, or the expected return. Designing the reward function is an important aspect of