def test_mab_run_many_arms(self):
mab = MultiArmedBandit(k=100, t=10**6)
mab.run_bandit_algorithm()
# With many arms, we don't analyse pulls of sub-optimal arms.
mab.analyse_regret()
mab.print_performance()
mab.plot_regret()
mab.ph.show_plots()
def run(self):
for i in range(self.total_experiment_count):
self.logger.debug("MAB instance {0}".format(i))
mab = None
mab = MultiArmedBandit(k=self.arms_count_k, t=self.arm_pulls_n)
mab.set_algorithms(self.algorithms_to_run)
mab.run_bandit_algorithm()
mab.analyse_regret()
self.update_average_regrets(mab)
self.current_experiment_count = self.current_experiment_count + 1
def test_mab_run(self):
mab = MultiArmedBandit(k=5, t=10**4)
algorithms_to_run = [("UCB1", UCB1), ("UCB-Inc", UCBIncremental),
("UCB-Doub-TR",
UCBDoubling, mh.ucb_doubling_radius),
("UCB-Doub", UCBDoubling)]
mab.set_algorithms(algorithms_to_run)
mab.run_bandit_algorithm()
mab.analyse_regret()
mab.analyse_suboptimal_arm_pulls()
# mab.print_performance()
mab.plot_suboptimal_arm()
mab.plot_regret()
mab.ph.show_plots()