It used a revolutionary new algorithm — one that relied not on previous brute-force algorithms like Minimax but one that

Author : lkaik
Publish Date : 2021-01-07 17:34:23


It used a revolutionary new algorithm — one that relied not on previous brute-force algorithms like Minimax but one that

Whether you can or can’t solve the problem, there are some things you should do in the interview to increase your chances, including asking clarifying questions, explaining your thought process as you go along, and identifying pain points to your interviewer. If you can’t solve the problem you’ve been given, instead of just giving up, do these three things so you can demonstrate your problem-solving ability and possibly elicit some sort of hint from the interviewer.

Note: This section describes the algorithm for AlphaGo Zero, the version of AlphaGo developed after the initial model beat the world champion. AlphaZero, the system upon which AlphaGo Zero operates, not only taught itself how to play Go but also shogi and chess, beating world champions in each. It provides the most use to applications beyond board games too.

For one-off scripts I just call these with node path/to/my_script.js. For the recurring tasks though I add a script property to the package.json file so I can execute the commands with npm run mytask type statements.

Just looking at the board, there are hundreds of different places one could place down a stone — much more than is possible with a chessboard, which is smaller and whose pieces have more restrictions. There are about 10¹⁷⁰ possible games in Go, making it more than a googol (10¹⁰⁰) times more complex than chess. For this reason, Go is considered the most complex (popularized) board game.

Go is a two-player game played on a 19-by-19 board. Each player is given either black or white stones, and black goes first. Players place their stones at intersections and try to surround more territories around the board than their opponent (take up more than 50% of the board). A stone cannot be moved after it is placed. Stones can be captured if they are completely enclosed/surrounded by an opponent.

For one-off scripts I just call these with node path/to/my_script.js. For the recurring tasks though I add a script property to the package.json file so I can execute the commands with npm run mytask type statements.

Many people assume the same about the phone interview: get as many to pass as you can to impress the person on the other end of the line. This route is definitely not the most optimal. You should replace to impress with and work with. You should treat the phone interview as a partnership or a pair-programming task where you are the primary programmer.

If you feel the problem specification leaves room for some edge cases, this is a great time to pose the question about those so you can have that information before you begin coding. For example, if the problem is to find the lexicographically first string in an array, you could ask what sort of characters are allowed in the array or how many strings will be given. The answers to those questions may be obvious to you, but asking could uncover some detail that wasn’t originally laid out for you.

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At the beginning of the interview cycle for most software positions, there is a series of technical programming challenges, some on the phone with a person and some auto-graded. Those auto-graded assessments are really a mental test between you and the problem: get as many test cases to pass in the shortest amount of time possible.

By treating this like a partnership rather than a polygraph, you can establish a sort of rapport with your interviewer and improve your chances of success. Success in a technical interview is not predicated on solving every problem they can throw at you.

At its core, AlphaGo Zero uses a Monte Carlo Tree Search guided by a neural network. For each board’s position s, the Monte Carlo Tree Search outputs probabilities of playing each move and the final move is the one with the highest output probability.

Within the first two moves of chess, there are 400 possible next moves. Within the first two moves of Go, there are 130,000. The search space in Go is larger than the number of atoms in the universe, and for that reason, a Go-playing AI cannot use the brute-force methods that IBM’s Deep Blue used to beat Garry Kasparov (a brute-force method maps out the possible next moves and finds the most optimal one, such as Minimax).

“It’s a very intuitive game. If you ask a great Go player how it is they decided on a move, they’ll often tell you it felt right. So these things are generally computers are not great at.” - Demis Hassabis, CEO of DeepMind

Especially in the context of phone interviews, you may not get a complete problem specification. It may just be a few lines of comments and one or two examples. Before you even start coding, you should begin to pick your interviewer’s brain about the problem and test cases.



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