790 citations · 2k across the 18 of their papers we have counts for
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cs.LG2017★ 74 cited
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Justin Fu, Katie Luo, Sergey Levine
Reinforcement learning provides a powerful and general framework for decision making and control, but its application in practice is often hindered by the need for extensive featur…
cs.LG2017★ 59 cited
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
Justin Fu, John D. Co-Reyes, Sergey Levine
Deep reinforcement learning algorithms have been shown to learn complex tasks using highly general policy classes. However, sparse reward problems remain a significant challenge. E…