3 ms·

Please elaborate... I’m curious.

• 7373737373 6y ago
  You often have a choice of either exploring the unknown, with possible but uncertain rewards, or just work with what you already have, and try to exploit it as best as possible. This is a common theme in machine learning and agent simulations, but can be found everywhere. > Exploration involves activities such as search, variation, risk taking, experimentation, discovery, and innovation. Exploitation involves activities such as refinement, efficiency, selection, implementation, and execution (from here: https://journals.sagepub.com/doi/full/10.1177/0256090915599709 https://journals.sagepub.com/doi/full/10.1177/02560909155997...)
  • emj 6y ago
    Well you need to do these stuff: > experimentation, discovery, and innovation. Is the important part, e.g. because of mindlessly surfing around and trying out new cool algorithms/demos made with obsucre tools, I became an expert at testing and integrating things which were not ment to be integrated with each other. That is a usefull skill.. But I can just as often fall into the trap of reiterating cool stories from the internet to other people. That is usually not helpfull. I.e. you need to do your own discoveries as well by trying them, not just share.