There are fundamental principles that define reinforcement learning problems:
Using the concept of state and action values, algorithms can be used to determine the benefit of each situation. There are three major RL approaches:
Each of these techniques is applicable in different context. The next chapter uses a temporal-difference learning approach to provide adaptive strategies for deathmatch games.
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