def main(n_iterations, failure_alignment, alignment_strategy, num_games,
directory):
for ite in range(n_iterations):
winners = []
games = create_games(failure_alignment, num_agents)
is_game_finished = False
computed_games = 0
# def signal_handler(signal, frame):
# print('You pressed Ctrl+C - or killed me with -2'
# agents = [game.agents for game in games]
# umpires = [game.umpire for game in games]
# aligned = "negative" if failure_alignment else "positive"
# file_name = "holistic/negotiated_{0}_{1}_games_{2}_agents.pkl".format(aligned, computed_games, num_agents)
# store_files(umpires, agents, winners, file_name, directory)
# sys.exit(0)
# signal.signal(signal.SIGINT, signal_handler)
for k, game_ in enumerate(games):
game_.umpire.compute_distance_agents(game_.agents)
game_.umpire.compute_distance_agents(game_.agents,
measure=Distances.HELLINGER)
game_.umpire.compute_mean_fitness(game_.agents)
for i in range(num_games):
while not is_game_finished:
for game in games:
is_game_finished = game.consume_time_step()
if is_game_finished:
winners.append(game.agents[0].strategy.max_tries)
reward_agents(game.agents, reward)
computed_games += 1
break
print("GAME FINISHED ", i)
envs = get_new_environments(
max_tries,
env_size,
num_objects,
symbols=AgentKnowledge.holistic_symbols)
for k, game_ in enumerate(games):
game_.umpire.compute_distance_agents(game_.agents)
game_.umpire.compute_distance_agents(
game_.agents, measure=Distances.HELLINGER)
game_.umpire.compute_mean_fitness(game_.agents)
game_.reset_game(envs[k])
is_game_finished = False
agents = [game.agents for game in games]
umpires = [game.umpire for game in games]
aligned = "negative" if failure_alignment else "positive"
file_name = "holistic/negotiated_{0}_{1}_games_{2}.pkl".format(
aligned, computed_games, str(ite))
store_files(umpires, agents, winners, file_name, directory)
def main(n_iterations, failure_alignment, alignment_strategy, num_games, directory):
for ite in range(n_iterations):
print("ITERATION: ", ite)
winners = []
alignment = alignment_strategy() if alignment_strategy else None
games = create_games(failure_alignment, num_agents, alignment)
computed_games = 0
# def signal_handler(signal, frame):
# print('You pressed Ctrl+C - or killed me with -2'
# agents = [game.agents for game in games]
# umpires = [game.umpire for game in games]
# aligned = "negative" if failure_alignment else "positive"
# align_strat = games[0].learners[0].architecture.align_strat.__class__.__name__ if failure_alignment else ""
# file_name = "word/teachers_{0}_{1}_{2}_games_{3}_agents.pkl".format(aligned, align_strat, computed_games, num_agents)
# store_files(umpires, agents, winners, file_name, directory)
# sys.exit(0)
# signal.signal(signal.SIGINT, signal_handler)
for k, game_ in enumerate(games):
game_.umpire.compute_distance_learners(game_.learners, game_.teachers[0].architecture.language_matrix)
game_.umpire.compute_distance_agents(game_.learners, measure=Distances.JENSEN_SHANNON)
game_.umpire.compute_distance_agents(game_.learners, measure=Distances.HELLINGER)
is_game_finished = False
for i in range(num_games):
while not is_game_finished:
for game in games:
is_game_finished = game.consume_time_step()
if is_game_finished:
winners.append(game.agents[0].strategy.max_tries)
reward_agents(game.agents, reward)
computed_games += 1
break
print("GAME FINISHED ", i)
envs = get_new_environments(max_tries, env_size, num_objects)
for k, game_ in enumerate(games):
game_.umpire.compute_distance_learners(game_.learners, game_.teachers[0].architecture.language_matrix)
game_.umpire.compute_distance_agents(game_.learners, measure=Distances.JENSEN_SHANNON)
game_.umpire.compute_distance_agents(game_.learners, measure=Distances.HELLINGER)
game_.umpire.compute_mean_fitness(game_.agents)
game_.reset_game(envs[k])
is_game_finished = False
umpires = [game.umpire for game in games]
learners = [game.learners for game in games]
aligned = "negative" if failure_alignment else "positive"
align_strat = games[0].learners[0].architecture.align_strat.__class__.__name__ if failure_alignment else ""
file_name = "word/teachers_{0}_{1}_{2}_games_{3}.pkl".format(aligned, align_strat, num_games, str(ite))
store_files(umpires, learners, winners, file_name, directory)