Vanishing Bias Heuristic-guided Reinforcement Learning Algorithm
Qinru Li Hao Xiang
Reinforcement Learning has achieved tremendous success in the many Atari
games. In this paper we explored with the lunar lander environment and
implemented classical methods including Q-Learning, SARSA, MC as well as tiling
coding. We also implemented Neural Network based methods including DQN, Double
DQN, Clipped DQN. On top of these, we proposed a new algorithm called Heuristic
RL which utilizes heuristic to guide the early stage training while alleviating
the introduced human bias. Our experiments showed promising results for our
proposed methods in the lunar lander environment.