Before revision:  Furthermore, based on this new operator, we derive new model-free RL algorithms named Greedy Multi-Step Q Learning (and Greedy Multi-step DQN) . Experiments reveal that the proposed methods are reliable, easy to implement , and achieve state-of-the-art performance on a series of standard benchmark datasets .
After revision:  Furthermore, based on this new operator, we derive new model-free RL algorithms named Greedy Multi-Step Q Learning (and Greedy Multi-step DQN) . Experiments reveal that the proposed methods are reliable, easy to implement . Moreover, without employing additional components of Rainbow except Double DQN, our method achieves competitive performance with Rainbow on the benchmark tasks .