Re: [SPAM] Re: [SPAM] [computer-go] Paper about Mogo's Opening Strategy
I'm sure many people are curious - MoGo(TW?) doesn't participate much in computer tournaments nowadays, are you working on some new exciting things or is the project mostly asleep right now? :-) Competitions are very boring and time consuming. Other people from the mogo-team can participate in tournaments if they want to, but for me I prefer to work on improvements, and in particular I prefer to try big changes (which fail 97% of the time) than small changes which provide negligible improvements. When there are computations every 2 months, the small improvements often take all the place. There are works in progress around MoGo: - We'd like to have an almost solving of 9x9 Go, by working in particular on a huge opening book. Nonetheless, there's still a lot of work on that. For example, MoGoTW can play very stupid move if the opponent makes a stupid opening move, and removing this would be great. - As many people, we would really like to have learning from one branch of the tree to another. We have some things which provide a few percents improvements, but we are a bit tired of this kind of small improvements, and I'd like a big change. - Also, we have many applications in progress in other fields, from classical artificial intelligence tasks (like expensive optimization or active learning) or for completely industrial tasks (like my favorite application, namely power management) - We also try to automatize the building and validation of patterns or UCT formula - something which is important far beyond Go. However, for Go, this is clearly not very important - mogo and all strong programs are by far too optimized for improving a lot by empirical tuning. For partially observable games, things are very different I think - as pointed out in some nice papers tuning becomes the main thing in very difficult frameworks like partially observable games, making them quite interesting as a benchmark. I guess some of these goals are shared by many people in this mailing list, so I'm sorry for this long email with probably nothing very original in it :-) ___ computer-go mailing list computer-go@computer-go.org http://www.computer-go.org/mailman/listinfo/computer-go/
Re: [SPAM] Re: [SPAM] [computer-go] Paper about Mogo's Opening Strategy
Hi! On Sun, Jan 17, 2010 at 04:02:38PM +0100, Olivier Teytaud wrote: I'm sure many people are curious - MoGo(TW?) doesn't participate much in computer tournaments nowadays, are you working on some new exciting things or is the project mostly asleep right now? :-) Competitions are very boring and time consuming. Other people from the mogo-team can participate in tournaments if they want to, but for me I prefer to work on improvements, and in particular I prefer to try big changes (which fail 97% of the time) than small changes which provide negligible improvements. When there are computations every 2 months, the small improvements often take all the place. I understand this sentiment a bit. :) I've found that when working on big new things, the required infrastructure changes bring improvements even to the original engine, but that's probably only true in very modular designs and for young programs like mine, not very evolved ones like Mogo. But looking backwards, I also wish I'd spend less time fine-tuning playout strategies etc. and focus on more fundamental changes. - As many people, we would really like to have learning from one branch of the tree to another. We have some things which provide a few percents improvements, but we are a bit tired of this kind of small improvements, and I'd like a big change. Yes, I'm personally convinced that solving this really well will lead to the next big advance in Computer Go. I'm working hard on this problem as well. ;-) - Also, we have many applications in progress in other fields, from classical artificial intelligence tasks (like expensive optimization or active learning) or for completely industrial tasks (like my favorite application, namely power management) This is very interesting, do you have pointers to any papers or presentations concerning MCTS applications like this in any detail? If not yet, I'm sure many people on this list will be interested to hear about any publications in this area too when you finish some of the applications. Thanks, Petr Pasky Baudis ___ computer-go mailing list computer-go@computer-go.org http://www.computer-go.org/mailman/listinfo/computer-go/
Re: [SPAM] Re: [SPAM] Re: [SPAM] [computer-go] Paper about Mogo's Opening Strategy
This is very interesting, do you have pointers to any papers or presentations concerning MCTS applications like this in any detail? If not yet, I'm sure many people on this list will be interested to hear about any publications in this area too when you finish some of the applications. 1) Application to fundamental AI tasks: Application to noisy non-linear optimization (Algorithmica 2009): http://hal.inria.fr/inria-00369788 (personnally, this work convinced me that UCT was really a great algorithm - for noisy applications, UCT really brings an improvement over many forms of MCTS, and as I've spent a long time trying to solve the same thing with other tools without success, I've been very surprised of succeeding at the first trial with UCT) Application to non-linear optimization: http://hal.inria.fr/inria-00374910/fr/ Application to active learning (ECML 2009) http://hal.inria.fr/inria-00433866 2) Benchmarks on problems not too far from industry: - Guillaume Chaslot et al published something around stock management - Martin Müller et al published something around planning 3) Directly real-world or industrial applications Application to library tuning (ICML 2009) http://hal.inria.fr/inria-00379523/ The application to energy management is a big concern to me - it's in progress. These problems have a huge ecological and economical importance, it would really be great if computer-Go had an impact on this, and the specificities of the problem are perfect - withing the partially observable nature of the problem :-) ___ computer-go mailing list computer-go@computer-go.org http://www.computer-go.org/mailman/listinfo/computer-go/
