Skip to content

Igor Grovich

My feedback

1 result found

  1. 5 votes
    vote

    We're glad you're here

    Please sign in to leave feedback

    Signed in as (Sign out)
    You have left! (?) (thinking…)
    How important is this to you?

    We're glad you're here

    Please sign in to leave feedback

    Signed in as (Sign out)
    An error occurred while saving the comment
    Igor Grovich commented  · 

    Reinforcement learning, according to our recent publication, deals with a unique problem setting where a random agent tries to learn the best way to interact with the environment. In exchange for his actions, he receives delayed shortcuts, also known as rewards; the agent's ultimate goal is to find the optimal policy that maximizes the cumulative numerical return https://perfectial.com/blog/q-learning-applications/

    RL-based technologies have already been implemented by inventive companies to optimally configure multi-level web networks, build reliable recommendation algorithms, develop complex intrusion detection schemes for IoT networks, and the like.

Feedback and Knowledge Base