| 1 |
Vertical Symbolic Regression via Deep Policy Gradient |
提出垂直符号回归深度策略梯度方法以解决符号方程发现问题 |
reinforcement learning deep reinforcement learning |
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| 2 |
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records |
提出FairEHR-CLP以解决电子健康记录中的公平性问题 |
predictive model contrastive learning multimodal |
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| 3 |
Dense Reward for Free in Reinforcement Learning from Human Feedback |
提出基于人类反馈的密集奖励方法以优化强化学习 |
reinforcement learning RLHF reward shaping |
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| 4 |
Augmenting Offline Reinforcement Learning with State-only Interactions |
提出状态交互增强离线强化学习以解决奖励反馈缺失问题 |
reinforcement learning offline reinforcement learning |
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| 5 |
Developing A Multi-Agent and Self-Adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk Management |
提出MASA框架以解决动态投资组合风险管理问题 |
reinforcement learning deep reinforcement learning |
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| 6 |
Repeat After Me: Transformers are Better than State Space Models at Copying |
提出Transformer模型以解决GSSM在复制任务中的局限性 |
state space model large language model |
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| 7 |
Self-Supervised Contrastive Pre-Training for Multivariate Point Processes |
提出自监督对比预训练方法以解决多变量事件流建模问题 |
representation learning large language model foundation model |
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| 8 |
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces |
提出Graph-Mamba以解决大规模图序列建模问题 |
Mamba SSM state space model |
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| 9 |
Learning and Calibrating Heterogeneous Bounded Rational Market Behaviour with Multi-Agent Reinforcement Learning |
提出一种新方法以解决异质有界理性市场行为建模问题 |
reinforcement learning policy learning |
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| 10 |
Adaptive Primal-Dual Method for Safe Reinforcement Learning |
提出自适应原始对偶方法以解决安全强化学习问题 |
reinforcement learning PPO |
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| 11 |
ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update |
提出O-DICE以解决离线强化学习中的分布校正估计问题 |
reinforcement learning offline RL offline reinforcement learning |
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| 12 |
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning |
提出TDIL方法以解决单一示范模仿学习中的稀疏奖励问题 |
imitation learning |
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| 13 |
Closure Discovery for Coarse-Grained Partial Differential Equations Using Grid-based Reinforcement Learning |
提出基于网格强化学习的闭合项发现方法以解决PDE问题 |
reinforcement learning |
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| 14 |
Score-based Causal Representation Learning: Linear and General Transformations |
提出基于得分的因果表示学习以解决干预识别问题 |
representation learning |
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| 15 |
Control in Stochastic Environment with Delays: A Model-based Reinforcement Learning Approach |
提出一种基于模型的强化学习方法以解决延迟反馈的控制问题 |
reinforcement learning |
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| 16 |
AlphaRank: An Artificial Intelligence Approach for Ranking and Selection Problems |
提出AlphaRank以解决固定预算排名与选择问题 |
reinforcement learning deep reinforcement learning |
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