def human_against_ismcts(target_points: int):
agents = [
HumanInputAgent(position=0),
make_ismcts_agent(),
make_ismcts_agent(),
make_ismcts_agent()
]
game = TichuGame(*agents)
res = game.start_game(target_points=target_points)
return res
def human_against_ismcts(target_points: int):
def make_agent():
return BaseMonteCarloAgent(
make_best_ismctsearch(name='Best'),
iterations=100000, max_time=10, cheat=False
)
agents = [HumanInputAgent(position=0), make_agent(), make_agent(), make_agent()]
game = TichuGame(*agents)
res = game.start_game(target_points=target_points)
return res
def human_against_random(target_points: int):
agents = [
HumanInputAgent(position=0),
RandomAgent(),
RandomAgent(),
RandomAgent()
]
game = TichuGame(*agents)
res = game.start_game(target_points=target_points)
return res
def ismcts_against_ismcts(target_points: int):
agents = [
make_ismcts_agent(),
make_ismcts_agent(),
make_ismcts_agent(),
make_ismcts_agent()
]
game = TichuGame(*agents)
res = game.start_game(target_points=target_points)
return res
def _run_game(self, target_points=1000):
game = TichuGame(*self.agents)
return game.start_game(target_points=target_points)
def create_agent_against_agent(type1, type2) -> TichuGame:
agents = [type1(), type2(), type1(), type2()]
return TichuGame(*agents)