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Re: BrainLearn
Posted: Tue Sep 10, 2019 7:45 pm
by amchess
zullil wrote: ↑Sat Sep 07, 2019 4:30 pm
Forgive me, but it seems all you've done is add a "permanent" hash table. This has been done many times before, even for Stockfish. How is this different? I mean, who would want to publish this?
We are using the entry level techniques in RL:Q learning.
The search and evaluation function provides the penalties and bonuses you want.
But we are not here to teach you reinforcent learning
Re: BrainLearn
Posted: Tue Sep 10, 2019 8:43 pm
by zullil
amchess wrote: ↑Tue Sep 10, 2019 7:45 pm
zullil wrote: ↑Sat Sep 07, 2019 4:30 pm
Forgive me, but it seems all you've done is add a "permanent" hash table. This has been done many times before, even for Stockfish. How is this different? I mean, who would want to publish this?
We are using the entry level techniques in RL:Q learning.
The search and evaluation function provides the penalties and bonuses you want.
But we are not here to teach you reinforcent learning
Never asked for you to teach me anything. If nothing else, you might want to review your article/abstract, since there's absolutely nothing in it that seems to qualify as
reinforcement learning. What you present in the "article" seems to be nothing more than a hash table saved on disk, an idea that's been around for a long time. Perhaps if I review the source code I'll see something more... .
Re: BrainLearn
Posted: Wed Sep 11, 2019 12:05 am
by amchess
You might as well review you understanding on q learning because it is the simplest algorithm in reinforcement learning. At first you wanted penalties and bonuses, we gave you. You can tell us what you want next and we shall give you. Well, it looks like your definition of reinforcement learning is questionable
Re: BrainLearn
Posted: Wed Sep 11, 2019 1:39 am
by zullil
amchess wrote: ↑Wed Sep 11, 2019 12:05 am
You might as well review you understanding on q learning because it is the simplest algorithm in reinforcement learning. At first you wanted penalties and bonuses, we gave you. You can tell us what you want next and we shall give you. Well, it looks like your definition of reinforcement learning is questionable
I never mentioned bonuses or penalties, so you must have me confused with someone else. Good luck with your project.
Re: BrainLearn
Posted: Thu Sep 19, 2019 3:04 pm
by amchess
Re: BrainLearn
Posted: Fri Sep 20, 2019 10:49 pm
by amchess
Builds for gcc 8.
Bug corrected.
Now, the file is written only when the gui sends the quit command.
Important
An infinite analysis must be stopped before any other operation.
If not, the learning HashTable is not filled and the experience.bin file
is incorrectly written.
https://github.com/amchess/BrainLearn/r ... /tag/4.2.1
Re: BrainLearn
Posted: Thu Sep 26, 2019 5:45 pm
by amchess
Re: BrainLearn
Posted: Wed Dec 11, 2019 3:59 pm
by amchess
BrainLearn 6.0 released:
https://github.com/amchess/BrainLearn/releases/tag/6.0
The main novelties are
-support for live chessdb
-a new offline learning based on pattern recognition. It can be obtained via a private application. Without it, the behaviour is the same as the previous version.
The details in ReadMe file:
https://github.com/amchess/BrainLearn/b ... /Readme.md
Re: BrainLearn
Posted: Sun Dec 29, 2019 9:41 pm
by amchess
Re: BrainLearn
Posted: Sun Jan 12, 2020 5:53 pm
by Leo
How do I obtain the private offline learning application?