Viewing profile — jonath_laurent

I agree with you. What I am taking issue with is the article presenting a multitude of (unnecessarily) complex refutations (as if one wasn't enough) and suggesting that there is no…

I am in fact disputing this empirical fact, or at least the interpretation of it that is suggested in the article. There is no such thing in mathematics such as an unresolved dispu…

This is a good comment and I believe your justification is equally valid. The reason for the apparent disagreement is that in order to point out a logical flaw in an argument, one …

I would argue that this Wikipedia article is misleading and that it confuses more than it clarifies when it comes to resolving the paradox. In particular, I am disputing the fact t…

I do not like this explanation. In my opinion, the fancy mathematical argument involving infinite series is an unnecessary distraction from a much more fundamental and mundane mist…

This comment explains the fundamental reason why the reasoning is incorrect. I offer the same perspective in a different comment ( https://news.ycombinator.com/item?id=31569991 ). …

Some excellent critiques have been provided in this thread already but I would like to offer a different perspective. In programming terms, the switching argument (see original lin…

As a researcher in machine learning, I wanted to explore applications of Deepmind’s AlphaZero algorithm beyond board games (such as in automated theorem proving or chemical synthes…

I think that MuZero is a fascinating algorithm, but that a lot of news articles are misleading when they present it as a new, superior substitute for AlphaZero. MuZero is solving a…

I am wondering if your idea of using GBDTs in combination with AlphaZero might not be most influential in areas where no neural network architecture is known to provide the right i…

Thanks! You can easily find my email address from my github. I am not aware of a canonical discord channel for discussing AlphaZero but the Lc0 community has a discord channel on w…

This needs clarification indeed. As I explain in the documentation, the aim of AlphaZero.jl is not to compete with hyper-specialized and hyper-optimized implementations such as LC0…

This is interesting, thanks! Is there anything else you can tell me about the results of your experiments with small networks? I am really interested in this. For example: did you …

And what were the results of these experiments? What error rate can you reach with the smallest network architecture you tried for example?

Actually, I found your blog article when I was reading about AlphaZero and I found it useful!

What do you mean by WLD output head? So far, the main idea I have pulled from the Lc0 crowd is to have a prior temperature indeed. The next thing I am planning to add is the possib…

Your series of blog articles has been an important source of inspiration in writing AlphaZero.jl and I cite it frequently in the documentation. Thanks to you and your team!

Thanks for your kind message.

Multiple GPUs support definitely belongs to the TODO list. However, I am currently limited by the state of CUDA.jl on this, as it does not have a device-aware memory pool yet. I am…

I agree with the quoted numbers. As I mentioned in another comment, you have to keep in mind that AlphaZero is an extremely sample-inefficient learning technique, even for simple p…

Yes. Go 19x19 would be completely intractable on a single machine (one comment is citing a $25 million cost estimate in computing power to train AlphaGo Zero). A more reasonable ta…

Such an evaluation is available in the tutorial: https://jonathan-laurent.github.io/AlphaZero.jl/dev/tutorial... Admittedly, the connect four agent is still far from perfect but th…

Yes, the agent is trained without access to the deterministic solution.

I completely agree with you. Let me just add two remarks. First, although picking 9x9 boards makes connect-four intractable for bruteforce search indeed, I would be suprised if it …

I suspect FLux/Knet are still slightly slower and less memory efficient than PyTorch/TF, although things are moving very fast here! This is not relevant in understanding AlphaZero.…