def reset(self, gameState=None):
super().reset()
self.cribThrow = []
if __name__ == '__main__':
# Initialize variables
player1 = DeepPeg(1, True, True, False)
player2 = Myrmidon(2, 5, False)
numHands = 500
repeatFlag = False
windowSize = 20
# Create and run arena
arena = Arena([player1, player2], repeatFlag, True)
results = arena.playHands(numHands)
# Plot results from arena
x = np.arange(1, numHands + 1 - windowSize, 1)
y0 = np.zeros(len(results[0]) - windowSize)
avgResult0 = np.average(results[0])
mu0 = np.zeros(len(y0))
y1 = np.zeros(len(results[1]) - windowSize)
avgResult1 = np.average(results[1])
mu1 = np.zeros(len(y1))
y2 = np.zeros(len(results[2]) - windowSize)
avgResult2 = np.average(results[2])
mu2 = np.zeros(len(y2))
for i in range(len(x)):
y0[i] = np.average(results[0][i:i + windowSize])
verboseFlag = True
# Training
if trainFlag:
learningAgents = [
DeepPeg(1, False, True, False)
] #[LinearB(1,0.5,0.9,False),NonLinearB(1,0.3,0.7,False),DeepPeg(1,True,False),Monty(1,False),Monty2(1,False)]
opponentAgents = [Myrmidon(2, 5, False), DeepPeg(2, False, False, False)]
for i in range(100):
for j in range(len(learningAgents)):
for k in range(len(opponentAgents)):
player1 = learningAgents[j]
player2 = opponentAgents[k]
arena = Arena([player1, player2], False, verboseFlag)
arena.playHands(10)
# Tournament
if tournamentFlag:
opponentAgents = [
PlayerRandom(1, False),
DeepPeg(1, True, False, False),
DeepPeg(1, False, False, False),
Myrmidon(2, 5, False)
]
numAgents = len(opponentAgents)
peggingResults = np.zeros((numAgents, numAgents))
handResults = np.zeros((numAgents, numAgents))
totalResults = np.zeros((numAgents, numAgents))
for i in range(numAgents):
for j in range(numAgents):
