380 citations · 747 across the 3 of their papers we have counts for
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cs.LG2023
Hierarchical Reinforcement Learning in Complex 3D Environments
Bernardo Avila Pires, Feryal Behbahani, Hubert Soyer +3
Hierarchical Reinforcement Learning (HRL) agents have the potential to demonstrate appealing capabilities such as planning and exploration with abstraction, transfer, and skill reu…
cs.LG2016★ 380 cited
Learning to reinforcement learn
Jane X Wang, Zeb Kurth-Nelson, Dhruva Tirumala +6
In recent years deep reinforcement learning (RL) systems have attained superhuman performance in a number of challenging task domains. However, a major limitation of such applicati…