def player_vs_agent(args):
"""Sets up connector to play a player vs agent game.
Args:
args: Command-line arguments.
Returns:
Game connector.
"""
weighted_heuristics = _get_weighted_heuristics(args)
transposition_table = _get_transposition_table(args)
searcher = _get_searcher(args)
if args.player == Player.white:
white_agent = HumanAgent(Player.white)
black_agent = AutonomousAgent(Player.black, weighted_heuristics,
transposition_table, searcher,
args.max_depth)
elif args.player == Player.black:
white_agent = AutonomousAgent(Player.white, weighted_heuristics,
transposition_table, searcher,
args.max_depth)
black_agent = HumanAgent(Player.black)
else:
raise NotImplementedError
return LocalGameConnector(white_agent, black_agent, args.max_time, False)
def playGameHumanVsComp(game, nn, cpuct, first=True):
if first:
a1 = ComputerAgent(game, cpuct, nn)
a2 = HumanAgent(game)
else:
a1 = HumanAgent(game)
a2 = ComputerAgent(game, cpuct, nn)
return playGame(game, a1, a2)
def player_vs_player(args):
"""Sets up connector to play a player vs player game.
Args:
args: Command-line arguments.
Returns:
Game connector.
"""
white_agent = HumanAgent(Player.white)
black_agent = HumanAgent(Player.black)
return LocalGameConnector(white_agent, black_agent, args.max_time, False)
def get_agent(name, properties):
if name == "random":
return RandomAgent(world)
if name == "alphabeta":
return AlphaBetaAgent(world, properties)
if name == "human":
return HumanAgent(world)
if name == "dls":
return DLS(world)
def runner(env, settings):
agent = HumanAgent(settings['fps'] if 'fps' in settings else 60, env)
base_dir = get_data_base_dir(settings, env)
data = DataGatheringWithReset(base_dir)
p = HumanDataGatheringPlay(agent, env, data)
p.pre_main_loop()
while not p.done():
p.before_env_step()
p.env_step()
p.post_env_step()
def main():
parser = argparse.ArgumentParser(description='chat utility')
parser.add_argument('--model_file', type=str,
help='model file')
parser.add_argument('--domain', type=str, default='object_division',
help='domain for the dialogue')
parser.add_argument('--context_file', type=str, default='',
help='context file')
parser.add_argument('--temperature', type=float, default=1.0,
help='temperature')
parser.add_argument('--num_types', type=int, default=3,
help='number of object types')
parser.add_argument('--num_objects', type=int, default=6,
help='total number of objects')
parser.add_argument('--max_score', type=int, default=10,
help='max score per object')
parser.add_argument('--score_threshold', type=int, default=6,
help='successful dialog should have more than score_threshold in score')
parser.add_argument('--seed', type=int, default=1,
help='random seed')
parser.add_argument('--smart_ai', action='store_true', default=False,
help='make AI smart again')
parser.add_argument('--ai_starts', action='store_true', default=False,
help='allow AI to start the dialog')
parser.add_argument('--ref_text', type=str,
help='file with the reference text')
args = parser.parse_args()
utils.set_seed(args.seed)
human = HumanAgent(domain.get_domain(args.domain))
alice_ty = LstmRolloutAgent if args.smart_ai else LstmAgent
ai = alice_ty(utils.load_model(args.model_file), args)
agents = [ai, human] if args.ai_starts else [human, ai]
dialog = Dialog(agents, args)
logger = DialogLogger(verbose=True)
if args.context_file == '':
ctx_gen = ManualContextGenerator(args.num_types, args.num_objects, args.max_score)
else:
ctx_gen = ContextGenerator(args.context_file)
chat = Chat(dialog, ctx_gen, logger)
chat.run()
def play_vs_remote(args):
"""Sets up connector to play a game vs a remote agent.
Args:
args: Command-line arguments.
Returns:
Game connector.
"""
loop = asyncio.get_event_loop()
if args.human:
agent = HumanAgent(args.player)
else:
agent = AutonomousAgent(args.player, _get_weighted_heuristics(args),
_get_transposition_table(args),
_get_searcher(args), args.max_depth)
return RemoteGameConnector(agent, args.max_time, args.learn, args.id,
args.hostname, args.port, loop)
def main(args):
parser = ArgumentParser(description='')
parser.add_argument('--height', type=int, required=True,
help='Heigth of the map')
parser.add_argument('--width', type=int, required=True,
help='Width of the map')
parser.add_argument('--num-powerups', type=int, required=True,
help='Number of powerups to put in the game map')
parser.add_argument('--num-monsters', type=int, required=True,
help='Number of monsters to put in the game map')
parser.add_argument('--initial-strength', default=100, type=int,
help='Initial strength of each agent')
parser.add_argument('--save-dir', type=str,
help='Save directory for saving the map')
parser.add_argument('--map-file', type=str,
help='Path to the map JSON file')
parser.add_argument('--play-against-human', action='store_true',
help='Whether to have a Human player as one of the '
'agents in the game')
parser.add_argument('--play-against-seekers',action='store_true', help='Whether to have a Seeker player as one of the '
'agents in the game')
parser.add_argument('--show-map', action='store_true',
help='Whether to display the map in the terminal')
parser.add_argument('--map-type', choices=MAP_TYPES, default='ascii',
help='Select map type. Choices are {' +
', '.join(MAP_TYPES) + '}')
parser.add_argument('--verbose', action='store_true',
help='Whether to be verbose when playing game')
args = parser.parse_args(args)
# TODO: Change how agents are populated
agent = RandomAgent(args.height, args.width, args.initial_strength)
agents = [agent]
if args.play_against_human:
human = HumanAgent(args.height, args.width, args.initial_strength)
agents.append(human)
game_driver = GameDriver(
height=args.height, width=args.width,
num_powerups=args.num_powerups,
num_monsters=args.num_monsters,
agents=agents,
initial_strength=args.initial_strength,
show_map=args.show_map, map_type=args.map_type,
save_dir=args.save_dir, map_file=args.map_file)
#Play against seekers
if args.play_against_seekers:
seeker = SeekerAgent(args.height, args.width, args.initial_strength)
agents.append(seeker)
game_driver = GameDriver(
height=args.height, width=args.width,
num_powerups=args.num_powerups,
num_monsters=args.num_monsters,
agents=agents, initial_strength=args.initial_strength, show_map=args.show_map, map_type=args.map_type, save_dir=args.save_dir, map_file=args.map_file)
print('Starting game')
game_driver.play(verbose=args.verbose)
''' Rock-Paper-Scissors game Starter code for Stanford CME 193 author: Sven Schmit ''' from game import Game from agent import HumanAgent, InstructorAgent, MyAgent # We can specify which agents we want to play the game here # Optional: pass this in using the command line game = Game(HumanAgent(), InstructorAgent()) # How many rounds do we want to play # Optional: pass this in using the command line number_rounds = 10 game.play(number_rounds) # Print summary game.summary()
def __init__(self):
self.env = gym.make("CartPole-v1")
self.human_agent = HumanAgent()
font = pygame.font.SysFont(TEXT_FONT, 40)
label_font = pygame.font.SysFont(TEXT_FONT, 20)
surface = pygame.display.set_mode((800, 600))
pygame.display.set_caption("Visualize")
surface.fill(WHITE)
computer = None
if 'ac' in sys.argv[1]:
computer = AcAgent(Player.black, None)
elif 'agz' in sys.argv[1]:
computer = ZeroAgent(Player.black, None)
else:
computer = Agent(Player.black, ExpCollector())
computer.model.load_weights(sys.argv[1])
human = HumanAgent(Player.red)
state = GameState(board, Player.red)
while True:
surface.fill(WHITE)
board = state.board
draw_chess_board(surface)
draw_pieces(surface, font, board)
draw_label(surface, label_font)
for event in pygame.event.get():
if event.type == QUIT:
pygame.quit()
sys.exit()
pygame.display.update()
if state.player == Player.red:
