✨ 5 Best Real-World Applications of Reinforcement Learning 🚀

 

Reinforcement learning is a type of machine learning that allows agents to automatically determine ideal behavior within an environment by maximizing some notion of cumulative reward.

Here are 5 best reinforcement learning real-world applications:

1️⃣ Self-Driving Automobile

📌 Reinforcement learning can be used for trajectory optimization, motion planning, dynamic pathing, and controller optimization.

🔗 https://aws.amazon.com/deepracer/?nc1=h_ls

2️⃣ Natural Language Processing (NLP)

📌 Reinforcement learning can be used for text summarization, question answering, and machine translation.

🔗 https://arxiv.org/pdf/1705.04304.pdf

3️⃣ Transportation

📌 Transportation companies such as Uber improve efficiency and lower costs using reinforcement learning.

🔗 https://pubs.giss.nasa.gov/abs/ta07100r.html

4️⃣ Healthcare

📌 RL systems can be used to treat patients in healthcare.

🔗 https://arxiv.org/pdf/1908.08796.pdf

5️⃣ Robotics Manipulation

📌 Robots can be trained to grasp a wide range of objects through with reinforcement learning.

🔗 https://ai.googleblog.com/2018/06/scalable-deep-reinforcement-learning.html

 

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