How Can Reinforcement Learning Revolutionise the World of Technology?

If you are a data science student, you must know about the different branches of Artificial Intelligence, Machine Learning, and Deep Learning. While these fields are great for creating intelligent and autonomous algorithms, reinforcement learning is considered the most advanced. Therefore, in this post, we’ll learn about reinforcement learning and its applications.

What is Reinforcement Learning?

It is a field of machine learning based on a self-learning model. It helps devices make sequential decisions on their own. The model trains itself through a trial and error method, where it learns from its experiences after every successful iteration. Imagine playing a game where you get points for advancing to different rounds and penalties for failing. Reinforcement learning relies on rewards. We have to train the model to maximize its rewards after successive iterations. However, the reward policy is set by the developer. The model is given no instructions. It has to find solutions on its own and learn how to make correct decisions.

Now we have a clear idea of what reinforcement learning is, let’s discuss some of its potential applications:

Applications of Reinforcement Learning

1. Self-Driving Cars

While self-driving cars have started entering the commercial market, the experience is not entirely autonomous. You still need a person sitting behind the wheel as the car often makes errors in judgment.

Various researchers have tested reinforcement learning for self-driving, and the result shows it’s the right approach towards completely autonomous self-driving. Moreover, through reinforcement learning, cars can learn about various aspects of driving, like following a specific lane, avoiding collisions, recognizing road signs etc. For example, the AWS Deepracer is a prototype RL-based self-driving car that uses reinforcement learning for controlling its throttle and directions. It also uses cameras to visualize its path.

2. Digital Marketing

Digital marketing is growing at an incredible pace. While AI plays a massive role in marketing these days, reinforcement learning can produce better results in the future. In marketing, it is crucial to find the right audience for your product and target them effectively to generate leads and sales.

Through reinforcement learning, marketing analysts can predict the outcome of a marketing campaign, the behavior of the target audience, and reactions. Moreover, it’ll help media buyers make correct decisions as companies have to work with a limited marketing budget. Using it effectively can drastically improve profit margins.

3. Healthcare

The influence of AI and robotics is increasing in the healthcare and pharmaceutical industry. Usually, you have to consult a doctor to interpret your test results. However, through reinforcement learning, you won’t need a doctor to tell you what your tests mean. Instead, RL virtual doctors can identify the disease or disorder you’re suffering from through your tests. It can also recommend treatments and prescribe medicines, along with their respective dosage and timings. Thanks to reinforcement learning, you won’t have to wait for a doctor’s availability to understand your health status.

4. Gaming

Not everyone has time to play multiplayer games these days, and if we remember playing old-school games, the computer-controlled opponents were too easy to beat. However, with reinforcement learning, AI-controlled opponents are a lot more difficult to beat. You will feel like you are playing with an actual player. The model will learn the game on its own and will find solutions for in-game challenges. Reinforcement learning can also optimize your gaming experience and make it better. It can help your system use the hardware effectively and efficiently.

5. Robotics

The combination between AI and robotics can open doors to many exciting possibilities. For example, there are many ways to train a robot through AI. However, through reinforcement learning, developers can make robots learn many actions and gestures without coding lengthy instructions in their system.

Robots can learn things through a trial and error method, just like humans do. Moreover, the results of reinforcement learning will be comparatively better for training the robot’s AI model using a specific set of instructions. Robots can analyze their surroundings and can make the right decisions. Through reinforcement learning, robots can learn to do complex tasks even humans can’t perform.

6. Trading and Finance

Trading and finance involve a lot of historical data and trends, based on which analysts make various predictions. Therefore, trading analysts can predict future market trends and invest accordingly through reinforcement learning. Likewise, companies can predict future sales and lead generation figures using the reinforcement technique.

7. Image Processing

Facial recognition is one of the most used digital security gateways. It recognizes your facial elements through image processing. It can also be used to extract useful information from just an image. Reinforcement learning can make image processing smoother, more efficient, and more accurate. Apart from extracting information, you can enhance the quality and visibility of an image without editing it.

8. Manufacturing and Production

Manufacturing is primarily autonomous these days. However, some processes in industries still cannot be performed solely using a machine. Input from an operator or supervisor is essential. However, through reinforcement learning, even those processes can become completely autonomous. Machines can take decisions on their own. Your products will be consistent in terms of quality, depending upon the accuracy of your model. Also, a human workforce is slower and less efficient than a fully automated system. Finally, it can save you the wages of hundreds of employees.

9. Recommendations

If you run an e-commerce store, you have to target customers who want to buy your product. To find out your target audience, you must use historical data to determine customers’ preferences. Then, through reinforcement learning, you can push relevant advertisements and recommendations to your target customers. For example, if the customer is into gaming, you can recommend games or consoles available on your website. This feature can also be used in your e-commerce app. So, whenever a customer buys something, you can recommend another product they might be interested in.

10. Text Mining

Have you ever had to read an extremely long document and don’t have the time or interest to read so much? Well, reinforcement learning can help. The algorithm will scan large documents, intelligently highlight the crucial parts, and form a summarized version of the document, which will be easily readable and grammatically correct. RL can also create an AI-powered writing tool to create original content for blogs and websites, just like a human would.

If you are a student, you don’t have to plead with your friends: “please, write my essay for me“; an RL-based text mining and writing tool can prepare an essay for you. However, you can’t be sure about its quality. Therefore, instead of trusting robots, trust humans. We can write high quality essays for you at a minimal price. UK Essay Writers is the best essay writing service UK for your money.

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