def __init__(self, number, time_limit=10, name=None):
""" This bot plays using a simple heuristic based on the weighted sum of board positions
:param number: Board.X for player1 or Board.O for player2
:param time_limit: The maximum time that the bot has to make a move
:param name: A descriptive name for the Bot
"""
if name is None:
name = "Heuristic1 Minimax"
MinimaxBot.__init__(self, number, time_limit, name=name)
self.player_type = 'h1 minimax'
def __init__(self, number, time_limit=4, name=None):
"""Minimax bot that plays with the H3 heuristic
:param number: Board.X for player1 or Board.O for player2
:param time_limit: The maximum time that the bot has to make a move
:param name: A descriptive name for the Bot
"""
if name is None:
name = "Heuristic3 Minimax"
MinimaxBot.__init__(self, number, time_limit, name=name)
self.player_type = 'h2 minimax'
def __init__(self, number, max_depth=4, name=None):
"""
The init method should follow this pattern. Just change the name of the bot.
:param number: Board.X for player1 or Board.O for player2
:param max_depth: The maximum depth of the lookahead
:param name: A descriptive name for the Bot
"""
if name is None:
name = "Example Minimax"
MinimaxBot.__init__(self, number, max_depth, name=name)
self.player_type = 'example minimax'
def __init__(self, number, name=None):
"""
Minimax bot which uses a simple feed-forward neural net to score board states
:param number: Board.X for player1 or Board.O for player2
:param name: A descriptive name for the Bot
"""
if name is None:
name = "Continuous Neural Net Bot"
MinimaxBot.__init__(self, number, name=name)
self.player_type = 'continuous-nn minimax'
objects = serialization.read_all("models/game/bots/weka_models/mlp-tuned-continuous.model")
self.classifier = Classifier(jobject=objects[0])
def __init__(self, number, name=None):
"""
Minimax bot which uses a nominal neural network to score board states
The neural net outputs one of ten classes. The higher the class number, the better the board state for X
:param number: Board.X for player1 or Board.O for player2
:param name: A descriptive name for the Bot
"""
if name is None:
name = "Nominal NeuralNet Bot"
MinimaxBot.__init__(self, number, name=name)
self.player_type = 'nominal-neuralnet minimax'
objects = serialization.read_all("models/game/bots/weka_models/mlp-tuned-categorical.model")
self.classifier = Classifier(jobject=objects[0])
def __init__(self, number, name=None):
"""
Minimax bot which uses a Model Tree to score board states
:param number: Board.X for player1 or Board.O for player2
:param name: A descriptive name for the Bot
"""
if name is None:
name = "Model Tree Bot"
MinimaxBot.__init__(self, number, name=name)
self.player_type = 'modeltree minimax'
objects = serialization.read_all(
"models/game/bots/weka_models/model-tree.model")
self.classifier = Classifier(jobject=objects[0])
def __init__(self, number, name=None):
"""
Minimax bot which uses a decision tree to score board states
The decision tree outputs one of ten classes. The higher the class number, the better the board state for X
:param number: Board.X for player1 or Board.O for player2
:param name: A descriptive name for the Bot
"""
if name is None:
name = "DTree Bot"
MinimaxBot.__init__(self, number, name=name)
self.player_type = 'dtree minimax'
objects = serialization.read_all(
"models/game/bots/weka_models/j48_default.model")
self.classifier = Classifier(jobject=objects[0])
def __init__(self, number, max_depth=2, name=None):
if name is None:
name = "Rando-Max Bot"
MinimaxBot.__init__(self, number, max_depth, name=name)
self.player_type = 'randomax'
random.seed()