def get_action(self):
legal_actions = self.Maze.get_legal_dirs(self.position)
if utilities.rand_bool(self.epsilon):
return utilities.rand_choice(legal_actions)
boltz_values = self.softmax([self.qValues[(self.position, a)] for a in legal_actions])
return np.random.choice(legal_actions, p=boltz_values)
def get_action(self):
"""
Compute epsilon greedy move
"""
legal_actions = self.Maze.get_legal_dirs(self.position)
if utilities.rand_bool(self.epsilon):
return utilities.rand_choice(legal_actions)
# get mapping from move to value
lst = [(self.qValues[(self.position, action)], action) for action in legal_actions]
best = max(lst)[0]
tiedMoves = [move for val, move in lst if val == best]
return utilities.rand_choice(tiedMoves)