a39a10bd874fd9ae9a841a82619ee4f0760cf66e,examples/mujoco_all_diayn.py,,run_experiment,#Any#,152

Before Change

        add_p_z=variant["add_p_z"],
    )

    algorithm.train()


def launch_experiments(variants, args):
    for i, variant in enumerate(variants):

After Change

    )

    // Do the training
    for epoch, mean_return in algorithm.train():
        pass


def launch_experiments(variants, args):
    for i, variant in enumerate(variants):
        tag = "__".join(["%s_%s" % (key, variant[key]) for key in TAG_KEYS])
        log_dir = os.path.join(args.log_dir, tag)

Instances