Quantifying Generalization in Reinforcement Learning

Karl Cobbe, Oleg Klimov, Chris Hesse +2

In this paper, we investigate the problem of overfitting in deep reinforcement learning. Among the most common benchmarks in RL, it is customary to use the same environments for bo…