Re: [Computer-go] Neural networks + MCTS applied to chemical syntheses

In particular, they had no way to train a value net, so it was back to AlphaGo v1 style of training just a policy net and reusing it as the rollout policy. On Fri, Apr 6, 2018 at 6:31 AM Fidel Santiago wrote: > Hello, > > Apparently the lessons of Alphago (and many

[Computer-go] Neural networks + MCTS applied to chemical syntheses

Hello, Apparently the lessons of Alphago (and many others) are being applied to other fields: https://www.nature.com/articles/d41586-018-03774-5 "The authors devised a computational process that starts by automatically extracting chemical transformations from a large commercial database, being

Re: [computer-go] Neural networks

these things have definitions, folks. everything isn't everything else. s. On Tue, Nov 3, 2009 at 7:43 AM, Willemien wilem...@googlemail.com wrote: I disagree with the point that MCTS is a neural network, In my opinion (and i maybe completely off target) One of the essences of neural

Re: [computer-go] Neural networks

On Tue, Nov 3, 2009 at 6:43 AM, Willemien wilem...@googlemail.com wrote: I disagree with the point that MCTS is a neural network, In my opinion (and i maybe completely off target) One of the essences of neural networks is that the program changes/learns from the games it has played. . I

Re: [computer-go] Neural networks

Well, at its esence a computer is an universal Turing Machine. If you organize the program as a neural network or as a MC algorithm is just cosmetics. You can see the circuits of your computer as neurons simulating a Von Neumann architecture that is simulating a neural network or a MC or

Re: [computer-go] Neural networks

2009/10/31 compgo...@aol.com: Present day MC Go programs are neural networks. The playout is the trainng process. What? ___ computer-go mailing list computer-go@computer-go.org http://www.computer-go.org/mailman/listinfo/computer-go/

Re: [computer-go] Neural networks

Álvaro Begué wrote: 2009/10/31 compgo...@aol.com: Present day MC Go programs are neural networks. The playout is the trainng process. What? ___ computer-go mailing list computer-go@computer-go.org

Re: [computer-go] Neural networks

On Sun, Nov 1, 2009 at 7:50 PM, Aldric Giacomoni ald...@trevoke.net wrote: Álvaro Begué wrote: 2009/10/31  compgo...@aol.com: Present day MC Go programs are neural networks. The playout is the trainng process. What? ___ computer-go mailing list

Re: [computer-go] Neural networks

Present day MC Go programs are neural networks. The playout is the trainng process. DL -Original Message- From: Petr Baudis pa...@ucw.cz To: computer-go@computer-go.org Sent: Wed, Oct 14, 2009 7:26 am Subject: [computer-go] Neural networks Hi! Is there some high-level reason

Re: [computer-go] Neural networks

On Wed, Oct 14, 2009 at 05:12:58PM +0200, Heikki Levanto wrote: On Wed, Oct 14, 2009 at 03:34:59PM +0300, Petri Pitkanen wrote: Neural network tend to work well in those cases where evaluation function is smooth, like backgammon. Even inbackgammon neural networks do give good results if

[computer-go] Neural networks

Hi! Is there some high-level reason hypothesised about why there are no successful programs using neural networks in Go? I'd also like to ask if someone has a research tip for some interesting Go sub-problem that could make for a nice beginner neural networks project. Thanks, --

Re: [computer-go] Neural networks

Neural network tend to work well in those cases where evaluation function is smooth, like backgammon. Even inbackgammon neural networks do give good results if situation has possibility of sudden equity changes like deep backgames and deep anchor games. Top backgammon programs 3-ply search on top

Re: [computer-go] Neural networks

In my opinion NeuroGo was quite succesful with neural networks. Magog's main strength came from neural networks. Steenvreter uses 'neural networks' to set priors in the Monte Carlo Tree. Erik On Wed, Oct 14, 2009 at 2:26 PM, Petr Baudis pa...@ucw.cz wrote:  Hi!  Is there some high-level

Re: [computer-go] Neural networks

Petr Baudis wrote: Hi! Is there some high-level reason hypothesised about why there are no successful programs using neural networks in Go? I'd also like to ask if someone has a research tip for some interesting Go sub-problem that could make for a nice beginner neural networks project.

Re: [computer-go] Neural networks

On Wed, Oct 14, 2009 at 03:34:59PM +0300, Petri Pitkanen wrote: Neural network tend to work well in those cases where evaluation function is smooth, like backgammon. Even inbackgammon neural networks do give good results if situation has possibility of sudden equity changes like deep backgames

Re: [computer-go] Neural networks

Neural networks are not considered obsolete by the machine learning community; in fact there is much active research on neural networks and the term is understood to be quite general. SVMs are linear classifiers for hand-engineered features. When a single layer of template-matchers isn't enough,

RE: [computer-go] Neural networks - numenta

-background-htm.ph p David -Original Message- From: computer-go-boun...@computer-go.org [mailto:computer-go- boun...@computer-go.org] On Behalf Of Rémi Coulom Sent: Wednesday, October 14, 2009 6:07 AM To: computer-go Subject: Re: [computer-go] Neural networks Petr Baudis wrote: Hi

Re: [computer-go] Neural networks - numenta

I'm not Remi, but I know a bit about Numenta. I gave a lightning talk at their workshop about a year and a half ago. A few people at Numenta are interested in using their software for Go, and I was working with one of them before my heart problems stopped that work. I do not think that

Re: [computer-go] Neural networks - numenta

David Fotland wrote: Remi, what do you think of Numenta http://www.numenta.com/, a startup that is using feedforward/feedback networks to model learning and pattern recognition in the neocortex. Does this approach make sense or is it just startup hype?

Re: [computer-go] Neural networks - numenta

-boun...@computer-go.org [mailto:computer-go- boun...@computer-go.org] On Behalf Of Rémi Coulom Sent: Wednesday, October 14, 2009 6:07 AM To: computer-go Subject: Re: [computer-go] Neural networks Petr Baudis wrote:   Hi!   Is there some high-level reason hypothesised about why

Re: [computer-go] Neural networks

[ Digression: Some ANN architectures are more biologically plausible than others. Neuromorphic Engineering is a good search term to see what's going on along those lines. (But for a beginner project, the standard multi-layer perceptron with backpropogation would still be the natural choice.)

[computer-go] Neural Networks

Anyone recommend a good book on programming Neural Networks in C or C++? Been digging around the net for while and haven't come up with anything other than an encyclopedia-like definition/writeup. No examples or tutorials. Thanks! -Josh ___

Re: [computer-go] Neural Networks

FANN (http://leenissen.dk/fann/) is a great neural network library written in C. I don't know much about books on *programming* neural networks specifically, but I know of many great books on neural networks. I am a big fan of Bishop's Neural Networks for Pattern Recognition even if you aren't

Re: [computer-go] Neural Networks

On 7/20/07, Joshua Shriver [EMAIL PROTECTED] wrote: Anyone recommend a good book on programming Neural Networks in C or C++? Been digging around the net for while and haven't come up with anything other than an encyclopedia-like definition/writeup. No examples or tutorials. There are some C

Re: [computer-go] Neural Networks

George Dahl said: FANN (http://leenissen.dk/fann/) is a great neural network library written in C. I don't know much about books on *programming* neural networks specifically, but I know of many great books on neural networks. I am a big fan of Bishop's Neural Networks for Pattern

Re: [computer-go] Neural Networks

The initial patterns are, of course, bitmaps of the board. When a nonzero signal finally arrives at cell #5, one of the 1-bits is randomly selected as the move. (If that turns out illegal, the actual move is pass.) Without understanding everything about what you're doing (not even close), I'm