Toybox: A Suite of Environments for Experimental Evaluation of Deep Reinforcement Learning
arXiv: Learning, 2019.
Evaluation of deep reinforcement learning (RL) is inherently challenging. In particular, learned policies are largely opaque, and hypotheses about the behavior of deep RL agents are difficult to test in black-box environments. Considerable effort has gone into addressing opacity, but almost no effort has been devoted to producing high q...More
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