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20192026
most citedSustainable Online Reinforcement Learning for Auto-bidding

5 citations · 13 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.LG2026

Kwai Summary Attention V2 Technical Report

OneRec Team, Chenglong Chu, Guohong Mu +30

Summary-token architectures such as Kwai Summary Attention (KSA) compress distant context into learnable Summary token per chunk, and hybrid variants interleave these layers with f…

cs.IR2026

KUAISHOU Explorer LLM-Rec Challenge 2026: Reasoning Generative Recommendation

Jiangxia Cao, Hao Peng, Wenlong Xu +97

Generative recommendation, has been attracted a surge of attentions in industrial and academic research community, towards to build more smart system to build next-generation recom…

cs.LG2026

Breaking the Curse of Repulsion: Remoteness-Aware Control of Negative Off-Policy Updates

Yusen Huo, Changping Wang, Yangru Huang +2

Off-policy policy optimization reuses historical behavior, including negative-advantage samples that suppress known failures. We show that repeated reuse can turn this useful signa…

cs.AI2026

DARA: Few-shot Budget Allocation in Online Advertising via In-Context Decision Making with RL-Finetuned LLMs

Mingxuan Song, Yusen Huo, Bohan Zhou +5

Optimizing the advertiser's cumulative value of winning impressions under budget constraints poses a complex challenge in online advertising, under the paradigm of AI-Generated Bid…

cs.AI2026

DecisionLLM: Large Language Models for Long Sequence Decision Exploration

Xiaowei Lv, Zhilin Zhang, Yijun Li +10

Long-sequence decision-making, which is usually addressed through reinforcement learning (RL), is a critical component for optimizing strategic operations in dynamic environments,…