| 1 |
Latent Representation Learning for Multimodal Brain Activity Translation |
提出SAMBA框架，通过学习统一潜在空间实现多模态脑活动数据的转换与融合。 |
representation learning spatiotemporal multimodal |
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| 2 |
Enhancing Spectrum Efficiency in 6G Satellite Networks: A GAIL-Powered Policy Learning via Asynchronous Federated Inverse Reinforcement Learning |
提出基于GAIL的策略学习以优化6G卫星网络的频谱效率 |
reinforcement learning policy learning imitation learning |
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| 3 |
VickreyFeedback: Cost-efficient Data Construction for Reinforcement Learning from Human Feedback |
提出VickreyFeedback，通过拍卖机制提升RLHF中数据标注的成本效率。 |
reinforcement learning RLHF large language model |
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| 4 |
HSTFL: A Heterogeneous Federated Learning Framework for Misaligned Spatiotemporal Forecasting |
提出HSTFL框架，解决异构时空预测中的跨域特征和地理异质性问题 |
representation learning spatiotemporal |
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| 5 |
TemporalPaD: a reinforcement-learning framework for temporal feature representation and dimension reduction |
TemporalPaD：用于时序特征表示与降维的强化学习框架 |
reinforcement learning predictive model |
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| 6 |
ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning |
ARLBench：用于强化学习超参数优化的高效灵活基准测试平台 |
reinforcement learning |
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| 7 |
Climate Adaptation with Reinforcement Learning: Experiments with Flooding and Transportation in Copenhagen |
利用强化学习进行气候适应：哥本哈根洪水与交通运输案例研究 |
reinforcement learning |
✅ |
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| 8 |
State-free Reinforcement Learning |
提出无状态强化学习算法以解决状态信息缺失问题 |
reinforcement learning |
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| 9 |
Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems |
提出基于多智能体强化学习的动态调度策略，优化物料搬运系统吞吐量。 |
reinforcement learning |
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| 10 |
Embed and Emulate: Contrastive representations for simulation-based inference |
提出基于对比学习的Embed and Emulate方法，用于加速高维系统中的仿真推断。 |
contrastive learning multimodal |
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