aima/agents.py
def compare_agents(EnvFactory, AgentFactories, n=10, steps=1000):
    """See how well each of several agents do in n instances of an environment.
    Pass in a factory (constructor) for environments, and several for agents.
    Create n instances of the environment, and run each agent in copies of
    each one for steps. Return a list of (agent, average-score) tuples."""
    envs = [EnvFactory() for i in range(n)]
    return [(A, test_agent(A, steps, copy.deepcopy(envs)))
            for A in AgentFactories]
def compare_agents(EnvFactory, AgentFactories, n=10, steps=1000):
    """See how well each of several agents do in n instances of an environment.
    Pass in a factory (constructor) for environments, and several for agents.
    Create n instances of the environment, and run each agent in copies of
    each one for steps. Return a list of (agent, average-score) tuples."""
    envs = [EnvFactory() for i in range(n)]
    return [(A, test_agent(A, steps, copy.deepcopy(envs)))
            for A in AgentFactories]
def compare_agents ( EnvFactory , AgentFactories , n = 10 , steps = 1000 ) : envs = [ EnvFactory ( ) for i in range ( n ) ] return [ ( A , test_agent ( A , steps , copy . deepcopy ( envs ) ) ) for A in AgentFactories ]
See how well each of several agents do in n instances of an environment.
    Pass in a factory (constructor) for environments, and several for agents.
    Create n instances of the environment, and run each agent in copies of
    each one for steps. Return a list of (agent, average-score) tuples.
See how well each of several agents do in n instances of an environment . Pass in a factory ( constructor ) for environments and several for agents . Create n instances of the environment and run each agent in copies of each one for steps . Return a list of ( agent average - score ) tuples .