Quantifying Generalization in Reinforcement Learning
international conference on machine learning, 2018.
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 testing. This practice offers relatively little insight into an agentu0027s ability to generalize. We address this issue by using procedurally g...More
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