| 1 |
A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs |
提出一种原始对偶算法以解决线性MDP的离线强化学习问题 |
reinforcement learning offline RL offline reinforcement learning |
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| 2 |
Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design Framework |
提出Symbolic Q-network以解决符号回归中的专家知识整合问题 |
reinforcement learning offline reinforcement learning IMoS |
✅ |
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| 3 |
Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous Driving |
提出动态结构化剪枝方法以压缩深度强化学习网络 |
reinforcement learning deep reinforcement learning DRL |
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| 4 |
Do Transformer World Models Give Better Policy Gradients? |
提出动作世界模型以优化长时间跨度的策略梯度 |
reinforcement learning world model world models |
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| 5 |
Analyzing Adversarial Inputs in Deep Reinforcement Learning |
提出对抗输入分析框架以提升深度强化学习的安全性 |
reinforcement learning deep reinforcement learning DRL |
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| 6 |
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design |
提出离散流模型以解决多模态生成问题 |
flow matching multimodal |
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| 7 |
Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning |
提出aLLM4TS框架以解决时间序列表示学习问题 |
representation learning contrastive learning large language model |
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| 8 |
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy |
提出在线因果强化学习框架以提升决策可解释性 |
reinforcement learning policy learning |
✅ |
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| 9 |
OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences |
提出OIL-AD框架以解决决策序列中的异常检测问题 |
reinforcement learning imitation learning transformer policy |
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| 10 |
Group Distributionally Robust Dataset Distillation with Risk Minimization |
提出基于风险最小化的群体分布鲁棒数据集蒸馏方法 |
distillation |
✅ |
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| 11 |
Causal Representation Learning from Multiple Distributions: A General Setting |
提出一种非参数方法以解决多分布下的因果表示学习问题 |
representation learning |
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| 12 |
A Masked language model for multi-source EHR trajectories contextual representation learning |
提出基于掩码语言模型的多源电子健康记录轨迹表示学习方法 |
representation learning |
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| 13 |
On Provable Length and Compositional Generalization |
提出可证明的长度与组合泛化方法以解决序列模型的泛化问题 |
state space model chain-of-thought |
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| 14 |
Code as Reward: Empowering Reinforcement Learning with VLMs |
提出VLM-CaR框架以解决强化学习中的奖励计算问题 |
reinforcement learning |
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| 15 |
Online Cascade Learning for Efficient Inference over Streams |
提出在线级联学习以解决大语言模型推理效率问题 |
imitation learning large language model |
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| 16 |
Convergence of Natural Policy Gradient for a Family of Infinite-State Queueing MDPs |
提出自然策略梯度算法以解决无限状态队列MDP收敛问题 |
reinforcement learning PPO |
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| 17 |
Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference |
提出潜在计划变换器以解决长远规划问题 |
reinforcement learning offline reinforcement learning |
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