| 1 |
Manifold Bandits: Bayesian Curriculum Learning over the Latent Geometry of Large Language Models |
提出贝叶斯流形课程学习以优化大语言模型的推理能力 |
reinforcement learning curriculum learning large language model |
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| 2 |
Direct Advantage Estimation for Scalable and Sample-efficient Deep Reinforcement Learning |
提出直接优势估计以解决深度强化学习的样本效率问题 |
reinforcement learning deep reinforcement learning latent dynamics |
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| 3 |
Sensorimotor World Models: Perception for Action via Inverse Dynamics |
提出传感运动世界模型以解决表示崩溃和动作对齐问题 |
world model world models JEPA |
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| 4 |
Uncertainty-Aware Reward Modeling for Stable RLHF |
提出不确定性感知奖励建模以解决RLHF中的奖励不可靠问题 |
reinforcement learning RLHF large language model |
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| 5 |
Multi-Modal Contrastive Learning for Implicit Earth Embeddings via Location Tying |
提出多模态对比学习方法以解决地理位置嵌入问题 |
contrastive learning multimodal |
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| 6 |
Connect the Dots: Training LLMs for Long-Lifecycle Agents with Cross-Domain Generalization Via Reinforcement Learning |
提出CoD框架以提升长生命周期智能体的跨域泛化能力 |
reinforcement learning large language model |
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| 7 |
CRAX: Fast Safe Reinforcement Learning Benchmarking |
提出CRAX以解决安全强化学习基准测试的计算效率问题 |
reinforcement learning curriculum learning |
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| 8 |
A Model-Driven Approach for Developing Families of Reinforcement Learning Environments |
提出模型驱动方法以高效开发强化学习环境家族 |
reinforcement learning curriculum learning |
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| 9 |
VIMPO: Value-Implicit Policy Optimization for LLMs |
提出VIMPO以解决大语言模型的奖励分配问题 |
reinforcement learning PPO large language model |
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| 10 |
SL-S4Wave: Self-Supervised Learning of Physiological Waveforms with Structured State Space Models |
提出SL-S4Wave以解决多通道生理波形建模问题 |
state space model contrastive learning |
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| 11 |
OnDeFog: Online Decision Transformer under Frame Dropping |
提出OnDeFog以解决帧丢失下的决策问题 |
reinforcement learning decision transformer |
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| 12 |
Boundary Embedding Shaping with Adaptive Contrastive Learning for Graph Structural Disentanglement |
提出边界嵌入塑形以解决图结构纠缠问题 |
contrastive learning |
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| 13 |
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning |
提出无奖励的集成方法以解决最小最大最优强化学习问题 |
reinforcement learning |
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| 14 |
Hierarchical Control in Multi-Agent Games: LLM-based Planning and RL Execution |
提出层次控制架构以解决多智能体游戏中的协调问题 |
reinforcement learning large language model |
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| 15 |
StreamKL: Fast and Memory-Efficient KL Divergence for Boosting Attention Distillation |
提出StreamKL以解决注意力蒸馏中的内存和速度问题 |
distillation |
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| 16 |
Multi-Granular Attention-Driven Reinforcement Learning Framework for Web Intelligent Enhancement Systems |
提出多粒度注意力驱动的强化学习框架以提升网络智能增强系统 |
reinforcement learning |
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| 17 |
Off-Policy Evaluation for Missingness-Aware Policies in MDPs with Rewards Missing Not at Random |
提出缺失奖励的离线强化学习评估方法以解决选择偏差问题 |
reinforcement learning offline reinforcement learning |
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