Understanding Reinforcement Learning
Machine learning has a branch where RL (reinforcement learning) thrives. It mimics behavioral psychology where an agent interacts with an environment to maximize rewards over time.
RL involves the agent taking actions, getting feedback (rewards/penalties), and adjusting behavior. The goal? Optimizing long-term performance in a sequential decision-making setup.
The Role of Reinforcement Learning in Autonomous Systems
Modern tech advances allow robots to operate independently. Reinforcement learning makes this possible. Reinforcement learning is a type of artificial intelligence. It allows machines to learn and make choices. This article discusses reinforcement learning’s key role in autonomous systems. We look at real-world uses, advantages, and difficulties. Autonomous systems impact transportation, healthcare, and manufacturing.
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