def test_efg_game(self):
game = pyspiel.load_efg_game(pyspiel.get_sample_efg_data())
# EFG games loaded directly by string cannot serialize because the game's
# data cannot be passed in via string parameter.
for _ in range(0, 100):
self.sim_game(
game,
check_pyspiel_serialization=False,
check_pickle_serialization=False)
game = pyspiel.load_efg_game(pyspiel.get_kuhn_poker_efg_data())
for _ in range(0, 100):
self.sim_game(
game,
check_pyspiel_serialization=False,
check_pickle_serialization=False)
# EFG games loaded by file should serialize properly:
filename = file_utils.find_file(
"open_spiel/games/efg/sample.efg", 2)
if filename is not None:
game = pyspiel.load_game("efg_game(filename=" + filename + ")")
for _ in range(0, 100):
self.sim_game(game)
filename = file_utils.find_file(
"open_spiel/games/efg/sample.efg", 2)
if filename is not None:
game = pyspiel.load_game("efg_game(filename=" + filename + ")")
for _ in range(0, 100):
self.sim_game(game)
def test_simple_game(self):
game = pyspiel.load_efg_game(SIMPLE_EFG_DATA)
env = rl_environment.Environment(game=game)
with self.session() as sess:
agent = dqn.DQN(sess,
0,
state_representation_size=game.
information_state_tensor_shape()[0],
num_actions=game.num_distinct_actions(),
hidden_layers_sizes=[16],
replay_buffer_capacity=100,
batch_size=5,
epsilon_start=0.02,
epsilon_end=0.01)
total_reward = 0
sess.run(tf.global_variables_initializer())
for _ in range(100):
time_step = env.reset()
while not time_step.last():
agent_output = agent.step(time_step)
time_step = env.step([agent_output.action])
total_reward += time_step.rewards[0]
agent.step(time_step)
self.assertGreaterEqual(total_reward, 75)
def test_kuhn_poker_efg(self): game = pyspiel.load_efg_game(pyspiel.get_kuhn_poker_efg_data()) val1, val2, _, _ = sequence_form_lp.solve_zero_sum_game(game) # value from Kuhn 1950 or https://en.wikipedia.org/wiki/Kuhn_poker self.assertAlmostEqual(val1, -1 / 18) self.assertAlmostEqual(val2, +1 / 18)
