class AlphaBetaPlayer:
"""
Minimax player with Alpha-Beta pruning
for mutiplayer games. Makes "paranoid assumption"
if number of players > 2.
Most of the work is done in search.py
"""
def __init__(self, gd, sim, role, heuristic=None, maxDepth=-1):
from ggp.search import Search
self.gd = gd
self.sim = sim
self.role = role
self.heuristic = heuristic
self.maxDepth = maxDepth
self.move = None
self.search = Search(gd, sim, role, self.shouldIStop,
self.processResponse)
def processResponse(self, sr):
self.move = sr.bestMove
def shouldIStop(self):
return False
def act(self, state, legal):
self.move = legal[self.role][0]
self.search.search(state, self.heuristic, maxDepth=self.maxDepth)
return self.move
def processReward(self, rewards):
# Clear out transposition table at end of match
self.search.tt = None
class AlphaBetaPlayer:
"""
Minimax player with Alpha-Beta pruning
for mutiplayer games. Makes "paranoid assumption"
if number of players > 2.
Most of the work is done in search.py
"""
def __init__(self, gd, sim, role, heuristic=None, maxDepth=-1):
from ggp.search import Search
self.gd = gd
self.sim = sim
self.role = role
self.heuristic = heuristic
self.maxDepth = maxDepth
self.move = None
self.search = Search(gd, sim, role, self.shouldIStop, self.processResponse)
def processResponse(self, sr):
self.move = sr.bestMove
def shouldIStop(self):
return False
def act(self, state, legal):
self.move = legal[self.role][0]
self.search.search(state, self.heuristic, maxDepth=self.maxDepth)
return self.move
def processReward(self, rewards):
# Clear out transposition table at end of match
self.search.tt = None
def __init__(self, gd, sim, role, heuristic=None, maxDepth=-1):
from ggp.search import Search
self.gd = gd
self.sim = sim
self.role = role
self.heuristic = heuristic
self.maxDepth = maxDepth
self.move = None
self.search = Search(gd, sim, role, self.shouldIStop,
self.processResponse)
def __init__(self, gd, sim, role, heuristic=None, maxDepth=-1):
from ggp.search import Search
self.gd = gd
self.sim = sim
self.role = role
self.heuristic = heuristic
self.maxDepth = maxDepth
self.move = None
self.search = Search(gd, sim, role, self.shouldIStop, self.processResponse)
