295 citations · 405 across the 47 of their papers we have counts for
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eess.SY2026
Hybrid Offline-Online Multi-Agent Decision Transformers for Wireless Resource Management
Yiming Zhang, Kun Yang, Cong Shen +1
This paper develops a hybrid offline-online multi-agent reinforcement learning framework based on decision transformers. The policy is first pretrained offline via supervised seque…
cs.LG2026
Efficient Multi-objective Prompt Optimization via Pure-exploration Bandits
Donghao Li, Chengshuai Shi, Weijuan Ou +2
Prompt engineering has become central to eliciting the capabilities of large language models (LLMs). At its core lies prompt selection -- efficiently identifying the most effective…
cs.LG2026
-Divergence Regularized RLHF: Two Tales of Sampling and Unified Analyses
Di Wu, Chengshuai Shi, Jing Yang +1
Reinforcement Learning from Human Feedback (RLHF) has become a cornerstone technique for post-training large language models. While most existing approaches rely on the reverse KL-…