What Does Reward Path Mean?
In reinforcement learning, a reward path is a path that an agent takes in order to obtain cumulative rewards. This terminology isn’t really used very much on its own in machine learning, but the concept of reward is central to many machine learning algorithms and Markov decision process models.
Techopedia Explains Reward Path
A Markov decision process runs an agent through a sequence of states and analyzes the result. Q-learning or reinforcement learning practices run the model continually, looking for rewards and adapting the model appropriately. So you could say that the reward path is the path that generates the most reward.
