47 lines
1.2 KiB
Python
47 lines
1.2 KiB
Python
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# A wrap for rlcard
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# Here, we include a random model as the default baseline
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import rlcard
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from rlcard.agents import RandomAgent
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from rlcard.models.model import Model
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class DoudizhuRandomModelSpec(object):
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def __init__(self):
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self.model_id = 'doudizhu-random'
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self._entry_point = DoudizhuRandomModel
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def load(self):
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model = self._entry_point()
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return model
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class DoudizhuRandomModel(Model):
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''' A random model
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'''
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def __init__(self):
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''' Load random model
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'''
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env = rlcard.make('doudizhu')
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self.agent = RandomAgent(action_num=env.action_num)
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self.player_num = env.player_num
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@property
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def agents(self):
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''' Get a list of agents for each position in a the game
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Returns:
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agents (list): A list of agents
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Note: Each agent should be just like RL agent with step and eval_step
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functioning well.
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'''
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return [self.agent for _ in range(self.player_num)]
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@property
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def use_raw(self):
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''' Indicate whether use raw state and action
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Returns:
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use_raw (boolean): True if using raw state and action
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'''
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return False
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