Not sure if RL is for your business? Try automating a single aspect of your business with RL techniques and see the improvements for yourself.
An Environment the agent interacts with
A policy that the agent follows to make decisions
A reward system for the agent to follow after completing an action
RL Solves the Bigger Picture
Having an RL model, you won’t have to divide a single problem into subproblems. RL techniques can directly work on the problem to maximize the long-term reward.
Data Collection on the Go
You won’t have to collect data as an extra step of the process. Training data in RL is collected as the agent interacts with the environment.
Dynamic and Adaptive
RL algorithms enable working with uncertain environments. They introduce an inherent adaptability and are built to respond to changes in the environment.
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