The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors

William H. Guss, Mario Ynocente Castro, Sam Devlin +12

Although deep reinforcement learning has led to breakthroughs in many difficult domains, these successes have required an ever-increasing number of samples, affording only a shrink…