adaa8aefa828c8b426e9ecf6e15f5990b3c1abef,baselines/deepq/experiments/train_mountaincar.py,,main,#,6

Before Change

def main():
    env = gym.make("MountainCar-v0")
    // Enabling layer_norm here is import for parameter space noise!
    model = deepq.models.mlp([64], layer_norm=True)
    act = deepq.learn(
        env,
        q_func=model,
        lr=1e-3,

After Change

    // Enabling layer_norm here is import for parameter space noise!
    act = deepq.learn(
        env,
        network=models.mlp(num_hidden=64, num_layers=1),
        lr=1e-3,
        total_timesteps=100000,
        buffer_size=50000,

Instances