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For questions related to the concept of Markov decision process (MDP), which is a mathematical framework for modeling decision making in situations where outcomes are partly random and partly under the control of a decision-maker. The concept of MDP is useful for studying optimization problems solved via dynamic programming and reinforcement learning.
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What is the reward system of reinforcement learning?
Can you describe this reward system in more detail?
I understand that the environment sends a signal indicating whether or not the action taken by the agent was 'good' or not, but it seems too simple. …