Reinforcement Learning, Artificial Intelligence, Machine Learning, Data Science, Statistics.
rewards, reflecting how much emphasis is placed on the future. A factor of 0 implies indifference to future rewards, making qπ(s,a)=r, while a factor of 1 signifies equal importance given to immediate and future rewards, leading to The discount factor is crucial for continuous tasks, preventing