What is Reinforcement Learning Software?

Reinforcement Learning (RL) Software is a subset of machine learning software, where insights are extracted from data to create logic-based models driven by these insights.

Reinforcement learned models can be used by software to streamline or automate critical tasks.

Categorically, reinforcement learning is concerned with how software programs take actions in environments to maximize rewards programmed in or “learned” by the system.

It is one of the three basic paradigms in machine learning, along with supervised and unsupervised learning. It focuses on a quality balance between exploiting current knowledge and exploring matters that are not well understood.

AI, machine learning, and reinforcement learning are increasingly seeing applications within the business world to automate tasks and contribute important insights to spot opportunities, drive revenue, and reduce costs.

 

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