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About Reinforcement Learning
Reinforcement learning is a machine learning technique that trains an agent through trial-and-error interactions with an environment. The agent learns to select optimal actions by receiving rewards for positive behaviors and punishments for undesirable behaviors. Two key challenges in reinforcement learning are balancing exploration of new actions with exploitation of optimal actions, and processing delayed rewards rather than immediate feedback.
Detailed Information
Author: | ['Rajachandra Voodiga'] |
---|---|
Publication Year: | 2022 |
Pages: | 23 |
Language: | English |
Format: | |
Price: | FREE |
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