Reinforcement Learning

Reinforcement Learning is one of the most advanced branches of Artificial Intelligence.

It deals with problems that require interacting with an environment, where feedback is not provided immediately after each interaction. These algorithms must therefore deduce which actions lead to positive feedback, thus learning to perform optimally.
If you have any business problem where feedback is not immediate, Imaginary Cloud can help you find optimal strategies to solve this problem.
Reinforcement Learning can be applied to digital platforms when deciding how to engage with a user. Deciding when to trigger notifications, when to show ads, and which content to show to the user, is key to ensuring that the user does not lose interest in your platform. In these cases, positive feedback is given when the user clicks a notification to open the app and for every second that is spent there, and negative feedback can be given when the user closes the app. Reinforcement Learning algorithms can be used to optimally engage with each user, to learn at which moments the notifications and ads are more effective, and which content keeps the user on the platform longer.

Games are a perfect example of a possible application of Reinforcement Learning. Games usually require interacting with an environment to achieve an objective, like gaining points or passing a level, which provides positive feedback. RL agents can be trained on these games to deduce which actions bring the agent closer to the objective. Once trained, these agents can play the games autonomously, often at a superhuman level. Imaginary Cloud can build the systems required to train and deploy these agents, allowing truly autonomous play.

Imaginary Cloud can build the systems required to train and deploy these agents, allowing truly autonomous play.

There are many other applications of Reinforcement Learning, including robotics, self-driving, electric power generation control, portfolio management, personalized medical treatment plans, and many more.
Imaginary Cloud will help you identify how your business may benefit from using Reinforcement Learning and build custom solutions for you.
Take your business to the next level by incorporating Reinforcement Learning algorithms to solve your toughest problems.

Reinforcement Learning

Reinforcement Learning is one of the most advanced branches of Artificial Intelligence.

It deals with problems that require interacting with an environment, where feedback is not provided immediately after each interaction. These algorithms must therefore deduce which actions lead to positive feedback, thus learning to perform optimally.
If you have any business problem where feedback is not immediate, Imaginary Cloud can help you find optimal strategies to solve this problem.
Reinforcement Learning can be applied to digital platforms when deciding how to engage with a user. Deciding when to trigger notifications, when to show ads, and which content to show to the user, is key to ensuring that the user does not lose interest in your platform. In these cases, positive feedback is given when the user clicks a notification to open the app and for every second that is spent there, and negative feedback can be given when the user closes the app. Reinforcement Learning algorithms can be used to optimally engage with each user, to learn at which moments the notifications and ads are more effective, and which content keeps the user on the platform longer.

Games are a perfect example of a possible application of Reinforcement Learning. Games usually require interacting with an environment to achieve an objective, like gaining points or passing a level, which provides positive feedback. RL agents can be trained on these games to deduce which actions bring the agent closer to the objective. Once trained, these agents can play the games autonomously, often at a superhuman level. Imaginary Cloud can build the systems required to train and deploy these agents, allowing truly autonomous play.

Imaginary Cloud can build the systems required to train and deploy these agents, allowing truly autonomous play.

There are many other applications of Reinforcement Learning, including robotics, self-driving, electric power generation control, portfolio management, personalized medical treatment plans, and many more.
Imaginary Cloud will help you identify how your business may benefit from using Reinforcement Learning and build custom solutions for you.
Take your business to the next level by incorporating Reinforcement Learning algorithms to solve your toughest problems.

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