def getAction(self, board):
self.root = Node(chess.Board(board.fen()), None)
for i in range(0, Global.MAX_ITERS):
newNode = self.treePolicy()
tempBoard = newNode.rollout()
newNode.backpropagate(Global.HEURISTIC(tempBoard, board.turn) - Global.HEURISTIC(board, board.turn))
if self.iterationalFlip:
self.depressed = not self.depressed
if Global.BEST_PICK:
return self.getHighestValue()
if self.depressed:
return self.getLeastVisited()
return self.getMostVisited()
def playGame(agents):
board = chess.Board()
currentTurn = 0
while not board.is_game_over():
agent = agents[currentTurn % 2]
agentMove = agent.getAction(chess.Board(board.fen()))
board.push(agentMove)
# if VERBOSE:
print("Turn: " + str(currentTurn))
print("Current Move: " + str(agentMove))
print("Current Board:")
print(board)
print(Global.HEURISTIC(board, (currentTurn % 2) == 0))
print("")
currentTurn = currentTurn + 1
if currentTurn > Global.MAX_TURNS:
return "0 - 0"
results = board.result().split("-")
if results[0].strip() == "1":
return "1 - 0"
if results[1].strip() == "1":
return "0 - 1"
return "0 - 0"
def playGame(agents):
board = checkers.CheckerBoard()
currentTurn = 0
while not board.is_over():
agent = agents[currentTurn % 2]
agentMove = agent.getAction(board.copy())
board.make_move(agentMove)
# if VERBOSE:
print("Turn: " + str(currentTurn))
print("Current Move: " + str(agentMove))
print("Current Board:")
print(board)
print(Global.HEURISTIC(board, (currentTurn % 2) == 0))
print("")
currentTurn = currentTurn + 1
if currentTurn > Global.MAX_TURNS:
return "0 - 0"
return board.result()
