def main(_):
game = pyspiel.load_game(
FLAGS.game,
{"players": FLAGS.players},
)
if FLAGS.sampling == "external":
solver = pyspiel.ExternalSamplingMCCFRSolver(
game,
avg_type=pyspiel.MCCFRAverageType.FULL,
)
elif FLAGS.sampling == "outcome":
solver = pyspiel.OutcomeSamplingMCCFRSolver(game)
run_iterations(game, solver)
print("Persisting the model...")
with open(MODEL_FILE_NAME.format(FLAGS.sampling), "wb") as file:
pickle.dump(solver, file, pickle.HIGHEST_PROTOCOL)
print("Loading the model...")
with open(MODEL_FILE_NAME.format(FLAGS.sampling), "rb") as file:
loaded_solver = pickle.load(file)
print("Exploitability of the loaded model: {:.6f}".format(
pyspiel.exploitability(game, loaded_solver.average_policy())))
run_iterations(game, solver, start_iteration=int(FLAGS.iterations / 2))
def main(_):
game = pyspiel.load_game(
FLAGS.game,
{"players": pyspiel.GameParameter(FLAGS.players)},
)
if FLAGS.sampling == "external":
solver = pyspiel.ExternalSamplingMCCFRSolver(
game,
avg_type=pyspiel.MCCFRAverageType.FULL,
)
elif FLAGS.sampling == "outcome":
solver = pyspiel.OutcomeSamplingMCCFRSolver(game)
for i in range(FLAGS.iterations):
solver.run_iteration()
print("Iteration {} exploitability: {:.6f}".format(
i, pyspiel.exploitability(game, solver.average_policy())))