Re: [Computer-go] Photo of an AlphaGo Girl

Wow that is... astonishing. Thanks for the post Ingo! This reddit is later on linked in the forum and includes speculations that it's not AlphaGo based on answers in similar positions. I'd disagree though - no whole game is the same and AlphaGo evolves and changes so much still through self-play.

[Computer-go] Introductory presentation about Computer Go and AlphaGo (Video)

Hi everyone, long time reader, sometimes poster. I gave a talk last week at Full Stack Fest about Computer Go and the advances that AlphaGo brought (but about MCTS as well of course). It's a 40mins presentation so I had to cut a lot. I think it's a good introduction and the talk was well received

Re: [Computer-go] AlphaGo won first game!

Wow, congrats to the AlphaGo team! Would love to see a more detailed analysis later today. On Mar 9, 2016 9:55 AM, "Marc Landgraf" wrote: > It was pointed out by Lee Sedol after the game and Kim Myungwan during > the game, that Q5 should have been better at R4. I would say this was > the final st

[Computer-go] Introductory computer go/MCTS presentation: slides and video

Hi there lovely computer-go mailing list, I gave a presentation titled "Beating Go Thanks to the Power of Randomness" at Rubyconf 2015. It is a full introductory talk which means: * the rules of Go are introduced (leaving out Ko and seki though.. time) * the discussion of MCTS is on a very high l

Re: [Computer-go] alarming UCT behavior

If you remove the limit on the tree size, does this still occur? Otherwise, I agree with Gonçalo - it seems unlikely. When I implemented Double Step [1] and had weird results I forgot to switch the perspective of the bots and even worse some of the move generation was buggy. Cheers, Tobi [1] a t

Re: [Computer-go] Facebook Go AI

Thanks for that observation Nick! For those that don't want to look for themselves: https://www.gokgs.com/gameArchives.jsp?user=darkforest https://www.gokgs.com/gameArchives.jsp?user=darkfores1 >From a quick look it seems like it is winning most of its games, even against 1d/2d players, but ther

Re: [Computer-go] AMAF/RAVE + heavy playouts - is it save?

, otherwise > I'd reference it. Hopefully somebody else can give the reference. I > suspect David probably co-authored the paper in which case apologies > to the other author for not crediting them here! > > I hope this helps > > Regards > > Raffles > > On 03-

[Computer-go] AMAF/RAVE + heavy playouts - is it save?

Hi everyone, I haven't yet caught up on most recent go papers. If what I ask is answered in one of these, please point there. It seems everyone is using quite heavy playouts these days (nxn patterns, atari escapes, opening libraris, lots of stuff that I don't know yet, ...) - my question is how d

[Computer-go] Codecentric Go Challenge is over! FJD won!

Hi everyone, haven't seen this on the mailing list yet (well anything after the second game), but the code centric go challenge is over, the last game was played yesterday. FJD won the best of five 3-1 only losing the first game. More information here: https://go.codecentric.de/ Congrats to Fran

Re: [Computer-go] Javascript go programs

Hi there, I started on a JavaScript engine quite some time ago :) At the time for a Mozilla competition but didn't quite complete it. It is already parallelized through web workers (performance + otherwise you get the busy JS popup etc.). https://github.com/PragTob/web-go It is written in Coffee

Re: [Computer-go] Report KGS Slow Tournament

thanks for this link, there are some really interesting papers there :) On 27.09.2015 03:10, Hiroshi Yamashita wrote: > His paper is also interesting. > Abakus got +130 Elo by online learning. > > Adaptive Playouts in Monte Carlo Tree Search with Policy Gradient > Reinforcement Learning > https://