def test_evaluate_pong_random_agent(self):
hparams = registry.hparams("rlmb_tiny")
temp_dir = tf.test.get_temp_dir()
evaluator.evaluate(hparams,
temp_dir,
temp_dir,
agent_type="random",
eval_with_learner=False)
def test_evaluate_pong_random_agent(self):
loop_hparams = registry.hparams("rlmb_tiny")
planner_hparams = registry.hparams("planner_tiny")
temp_dir = tf.test.get_temp_dir()
evaluator.evaluate(
loop_hparams, planner_hparams, temp_dir, temp_dir, temp_dir,
agent_type="random", eval_with_learner=False, log_every_steps=None
)
