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Practical Reinforcement Learning Agents and Environments Temporal Diff Learning| packtpub com

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Lessons List | 5 Lesson

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Tanveer Ali

good 2024-09-10

Dr.Ghvs Sarma

Informative One 2024-08-05

Course Description

In Reinforcement learning, the agent is one who takes decisions based on the rewards and punishments. Consider an example of a batsman in cricket. He tries to hit the ball if he misses he gets a negative point. If he hits the ball then he gets a reward .