View Steam Achievements Includes 36 Steam Achievements. Publisher: Aksys Games. Share Embed. Add to Cart. View Community Hub. All Rights Reserved. Licensed to and published by Aksys Games. See all. Customer reviews.
Overall Reviews:. Recent Reviews:. Review Type. All 81 Positive 38 Negative All 81 Steam Purchasers 69 Other All Languages 81 Your Languages 59 Customize. Date Range. To view reviews within a date range, please click and drag a selection on a graph above or click on a specific bar. Show graph. Brought to you by Steam Labs. Specifically, the game takes place in the Saitama Prefecture.
The story is simple, revolving around a high school student, Kei Takanashi, and a group of other high school students who stumble into the outer realm, and begin battling other MINDS and MIND Users to help protect and save people. Development The game was first announced in March in an issue of Famitsu. The game was scheduled for release in August 1, in Japan, and was the first game released by publisher GungHo Online Entertainment since buying out Acquire in After the existence of a pre-order spot for the game was noted at websites such as GameStop in January , Aksys Games formally announced the game for a physical and digital release in North America, and a digital-only release in Europe, on the 30th of January.
The game was later greenlit via the Steam Greenlight voting system and is now available for PC via Steam. Then, Leela Zero really started to take off.
A user named benediamond got the ball rolling with a non-working prototype of chess support for Leela Zero. It needed a fair bit of additional work, which I did, and then coded up the server and client in Go [the coding language, not the game -Ed. Then, I launched it on Talkchess , and the support has been incredible since then! Is it just you, or others, or? GL: There is an extremely active community! Folkert Huizinga Error was one of the earliest to join and has been the driving force behind the training process, which generates the new networks.
It's an extremely hard, and time-consuming part of the project, and he's done an amazing job. We got a donation of the training hardware as well, which has been fantastic. Then a bunch of great developers have stepped up to help out as well, special mention to Andy Olsen KillerDucky and Alexander Lyashuk mooskagh.
AS: How close is it to Alpha Zero, or how different? GL: It's quite close to AlphaZero in concept. For example, there is a critical change in the network architecture that was required for chess that wasn't in the paper the number of layers in the policy head for the technically inclined.
GL: Keeping up with the community! There is a lot of passion, but it's a part-time project on my side. Others have really stepped up and made huge contributions thankfully. GL: It depends smiley. It's very sensitive to the hardware, and the time control used. AS: How much strength does a decent video card add? GL: A huge amount! GL: How much interest and passion there is around this project. It's been fantastic to watch the community really get excited, and all the chess personalities who have tried playing it.
AS: While testing the engine in Fritz, I noticed a number of very strange tactical oversights, even in fairly simple positions.
Is this normal, and if so, when would they be overcome? GL: Definitely normal, the network is still learning tactics, especially at low depths. Also, we are on a much smaller network than DeepMind used 10x instead of 20x Also, at the current rate of development, how long would it take to reach that level presuming similar hardware?
GL: From their paper, 44 million if I recall correctly, while we are at 8. However, we've also had some significant bugs during the training process, and have been learning a lot as we go. I wouldn't be surprised if our run took longer. GL: I've always loved the combination of distributed systems and chess.
A few years back I also developed "fishtest", which helped take Stockfish to number one on the rating lists although these days, a wonderful community has taken it on.
My professional work is on developing autonomous cars, which is extremely fun and challenging. Also, you most definitely want a video card to run it properly. The faster the better, but anything beyond Intel integrated graphics should be a plus. If you have a discrete GPU graphics card , get the gpu-win. Many other programs rely on this library so you may have it already. It is vital this be done before trying to install it as a UCI engine.
Naturally, you can download any version really, even when it was rated a big fat zero. Right-click on the blue Network number and save. You then unzip it to the main Leela folder. Now you will have a very large file with a long name that looks like a secret code. Rename it to weights. This is a simple command that will have the computer run a full tuning of your computer to get best results with Leela.
It may take minutes, so be patient. Running the script will do a full tune of your graphics card to get optimal results. Please note this can improve performance to almost double even! The multiple computer chess world champion comes in a new and yet more powerful version. When you want to update the neural network with the latest version, all you need to do is download the newest Network file, and rename it again.
If you would like to contribute some of your computer time to help Leela, just double-click on the client. It will start running self-play games, and send them to the site.
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