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 )