131–140 of 242 posts
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Pretty amazing book. I wish I could play a board game like that as well.
I always imagine the board game as essentially being SM's Civilisation but really, really good in an indescribable way - with some card games inbetween.
This is clearly part of DeepMind's long-game plan to achieve world domination through board game mastery. Naming the new algorithm after the book is a real tip of their hand... https://en.wikipedia.org/wiki/The_Player_of_Games
I really like seeing references to the Culture series when naming things: https://en.m.wikipedia.org/wiki/The_Player_of_Games
Allusions are fun and all, but I disagree. These are important problems that a lot of people have put their whole careers into researching. Silly names like these lack gravitas.
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I wish alphago was more "democratized" -- that is to say, I have many questions and experiments I'd love to run on it (a friend of mine and I have frequently pondered Go played in various different topological spaces, and I'd love to see an AI's result, for example).
Look into Katago. It's an open source AI in the same general style as AlphaGo, with an empasis on training speed. On 9x9 you can get up to superhuman really quickly on just a decent home machine (I think hours/days, can't remember exactly and it's probably improved since I looked).
(Edit: Misread what the other poster was trying to do, but I'm leaving this here as a reference for anyone else who just wants to use KataGo on their own machine on their own Go games.)
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You often don't need anywhere near the amount of compute in these papers to get similar performance. Suppose you're a business that needs to play games. Most people seem to think that it's a matter of plugging in the settings from the paper, buying the same hardware, then clicking a button and waiting. It's not. The specific settings matter a lot. But my main point is that you'll get most of your performance pretty r…
My thoughts, not being in the field, are parallel to the parent post. "It's nice and all that we're achieving better and better computer performance at things that used to require the human brain, but it seems we're doing so by building larger and larger computers."Not to detract from that achievement, I love large computers in their own right! I'm a dabbler in Go, and "somewhere below professional" at the game of po…
Yes, and in the case of deep RL, the ability to to get "lucky" random initialization seems to (still) matter a lot.
I work in real time control systems, which are roughly decision making under uncertainty problems. A lot of the RL research has become noise buoyed with large marketing budgets.
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Dominion and Homeworlds are pretty complicated! Maybe you can start with a simpler game like Splendor. In my 2-player Splendor rules engine, the following actions are possible: 1. Purchase a holding. (90 possible actions, one for each holding) 2. If you do not have 3 reserved cards, reserve a card and take a gold chip if possible. (93 possible actions, one for each holding and one for each deck of facedown cards) 3.…
I actually played Splendor for the first (three) time(s) some time ago and honestly didn't really like it. It's a very simple game, true. I feel like there are not many decision points for me as a player and therefore there is not much strategy involved. But maybe that is just my view after very few games. (At the same time that probably makes it a good choice for a game implementation) Thing is that for all my examp…
I like the game for what it is. I'd say, surprisingly strategic.
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I second this, it was excellent. I've only read a few Banks books, but this was my favorite.
I started with Consider Phlebas but stopped because it seems too slow for me. Does it get better in the later chapters?
so this is what Grimes latest song is about?
Yeah wtf, was my first thought. This is mind blowing if true.