Open nguyencongminh090 opened 2 years ago
Will this algorithm work with arbitrary number of stones? For example, to find 4 balancing moves for a 7 stone position?
I'm not sure, but it can be more complex. In that case, the first move will depend on the nearby move to make a connection and then the second stone will balance after making step 1. (Swap2 with n stones) What do you mean about "4 balancing moves for a 7 stone position"? I don't understand why 4 balancing moves. I think this algorithm only works with 2 balancing moves.
This is why I asked. Algorithm currently used in AG is general - can be used to balance arbitrary position using any number of moves. I agree it could be optimized but currently I don't see any possibility for doing so.
Hmm... What is your current algorithm? Can you give me some example case? I wanna try, I hope I can help.
solution for the standard case. Because it is quite different when swap2 with 3 stones, you only have 3 stones and 1 threat from the connection of 2 stones of black but with more than 3 stones, it has a lot of potential threat, connection. Can we use 2 ways for 2 types? (I want to discuss more this problem via email)
Neural network calculates probability of winning for given position. During match the search looks for a move that has highest probability of winning. During balancing I change the function to look for move that has probability of winning closest to 0.5. And that's it. This is why I think my algorithm is better as it is provably correct and not based on a heuristic approach. Look into [https://github.com/MaciejKozarzewski/AlphaGomoku/blob/master/src/mcts/EdgeSelector.cpp]() for details.
Hmm.... I think we need a test.
My testcase base on connection of 2 stones of black. Testcase 1: Long connection:
Testcase 2: Near connection:
Testcase 3: No connection.
I have a method to balance opening (swap2 with 3 stones), that is:
Hope it is helpful!