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20222025
most citedVariational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills

1 citations · 2 across the 6 of their papers we have counts for

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cs.RO2023

Explaining the Decisions of Deep Policy Networks for Robotic Manipulations

Seongun Kim, Jaesik Choi

Deep policy networks enable robots to learn behaviors to solve various real-world complex tasks in an end-to-end fashion. However, they lack transparency to provide the reasons of…

cs.RO2023

Adaptive and Explainable Deployment of Navigation Skills via Hierarchical Deep Reinforcement Learning

Kyowoon Lee, Seongun Kim, Jaesik Choi

For robotic vehicles to navigate robustly and safely in unseen environments, it is crucial to decide the most suitable navigation policy. However, most existing deep reinforcement…