| 1 |
MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning |
提出MAMBA以解决元强化学习中的样本效率问题 |
reinforcement learning world model world models |
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| 2 |
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning |
提出最小最大最优算法以解决分布鲁棒离线强化学习问题 |
reinforcement learning offline RL offline reinforcement learning |
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| 3 |
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning |
提出SINDy-RL以解决深度强化学习的高数据需求问题 |
reinforcement learning deep reinforcement learning DRL |
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| 4 |
uaMix-MAE: Efficient Tuning of Pretrained Audio Transformers with Unsupervised Audio Mixtures |
提出uaMix-MAE以高效调优预训练音频变换器 |
masked autoencoder MAE |
✅ |
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| 5 |
EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning |
提出EquiAV框架以解决音视频对比学习中的不对称性问题 |
representation learning contrastive learning |
✅ |
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| 6 |
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting |
提出TimeMachine以解决长时间序列预测中的依赖捕获问题 |
Mamba |
✅ |
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| 7 |
A Reinforcement Learning Approach to Dairy Farm Battery Management using Q Learning |
提出基于Q学习的电池管理方法以优化奶牛场能源使用 |
reinforcement learning |
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| 8 |
A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024 |
汇总AAAI 2024人本中心表示学习研讨会接受论文 |
representation learning |
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| 9 |
Towards a theory of model distillation |
提出模型蒸馏理论以优化复杂模型简化问题 |
distillation |
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| 10 |
Detecting Anomalies in Dynamic Graphs via Memory enhanced Normality |
提出STRIPE以解决动态图异常检测问题 |
contrastive learning mutual attention |
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| 11 |
Self-Supervised Learning for Time Series: Contrastive or Generative? |
对比与生成方法的自监督学习在时间序列分析中的比较研究 |
representation learning MAE |
✅ |
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