Quantifying Generalization in Reinforcement Learning

Karl Cobbe, Oleg Klimov, Christopher Hesse, Taehoon Kim, John Schulman

Abstract: 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 both training and t...