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20232026
most citedAchieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping

1 citations · 2 across the 9 of their papers we have counts for

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cs.LG2023★ 1 cited

Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping

Yining Li, Peizhong Ju, Ness Shroff

Reinforcement learning often needs to deal with the exponential growth of states and actions when exploring optimal control in high-dimensional spaces (often known as the curse of…

cs.LG2023

DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization

Peiwen Qiu, Yining Li, Zhuqing Liu +5

Decentralized bilevel optimization has received increasing attention recently due to its foundational role in many emerging multi-agent learning paradigms (e.g., multi-agent meta-l…