| 1 |
Solving Continual Offline Reinforcement Learning with Decision Transformer |
提出多头决策变换器以解决持续离线强化学习中的遗忘问题 |
reinforcement learning offline RL offline reinforcement learning |
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| 2 |
CNN-DRL with Shuffled Features in Finance |
提出CNN-DRL与特征重排结合以提升金融数据奖励 |
reinforcement learning deep reinforcement learning DRL |
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| 3 |
QoS Improvement in Multi User Cellular-Symbiotic Radio Network Assisted by Active-STAR-RIS |
提出主动STAR-RIS以提升多用户蜂窝网络的服务质量 |
reinforcement learning deep reinforcement learning DRL |
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| 4 |
MambaTab: A Plug-and-Play Model for Learning Tabular Data |
提出MambaTab以解决表格数据学习的高效性问题 |
Mamba SSM |
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| 5 |
Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information |
提出最大条件互信息法以改进知识蒸馏中的贝叶斯条件分布估计 |
distillation |
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| 6 |
Generative AI for O-RAN Slicing: A Semi-Supervised Approach with VAE and Contrastive Learning |
提出生成式AI驱动的半监督学习架构以优化O-RAN切片资源分配 |
contrastive learning |
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| 7 |
Learning from Sparse Offline Datasets via Conservative Density Estimation |
提出保守密度估计以解决离线强化学习中的外推误差问题 |
reinforcement learning offline RL offline reinforcement learning |
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| 8 |
Robust Anomaly Detection for Particle Physics Using Multi-Background Representation Learning |
提出多背景表示学习以增强粒子物理异常检测 |
representation learning |
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| 9 |
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation |
提出DiConStruct以解决模型可解释性与预测性能的矛盾问题 |
distillation |
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