test1978
/

chess-model

Reinforcement Learning

monte-carlo-tree-search

adjacency-matrix

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test1978 commited on Sep 1

Commit

d98f21a

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1 Parent(s): f809e76

Update chess_mcvs.py

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chess_mcvs.py +1 -1

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@@ -2,7 +2,7 @@
 """
 chess_mcvs.py - Full implementation analogous to breakthrough_mcvs.py
-Features:t
 - Chess game logic using python-chess (full rules)
 - Fixed 64×64 padded weighted adjacency matrix (Hilbert-ordered pieces)
 - Piece-specific kappa values

 """
 chess_mcvs.py - Full implementation analogous to breakthrough_mcvs.py
+Features:
 - Chess game logic using python-chess (full rules)
 - Fixed 64×64 padded weighted adjacency matrix (Hilbert-ordered pieces)
 - Piece-specific kappa values