| 1 |
Ternary Mamba: Grouped Quantization-Aware Training of W1.58A16 State Space Models |
提出Ternary Mamba以解决SSM边缘部署的内存限制问题 |
Mamba SSM state space model |
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| 2 |
Memory-Efficient Meta-Reinforcement Learning for Adaptive Safety-Critical Control in Adversarial Spacecraft Proximity Operations |
提出记忆高效的元强化学习以解决自适应安全关键控制问题 |
reinforcement learning PPO SAC |
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| 3 |
Looped World Models |
提出LoopWM以解决长时间模拟中的计算效率问题 |
world model world models |
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| 4 |
Deep Reinforcement Learning for Minimum Zero-Forcing Sets |
提出SD-ZFS框架以解决最小零强迫集问题 |
reinforcement learning deep reinforcement learning |
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| 5 |
EnvRL: Learn from Environment Dynamics in Agentic Reinforcement Learning |
提出EnvRL框架以改善长时间任务中的稀疏奖励问题 |
reinforcement learning policy learning large language model |
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| 6 |
Continuous-time Optimal Stopping through Deep Reinforcement Learning |
提出CARLOS算法以解决连续时间最优停止问题 |
reinforcement learning deep reinforcement learning |
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| 7 |
OmniPlan: An Adaptive Framework for Timely and Near-Optimal Network Planning Optimization |
提出OmniPlan框架以解决网络规划优化问题 |
reinforcement learning deep reinforcement learning DRL |
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| 8 |
S4oP: Operator-level Pruning of Structured State Space Models for Resource-Constrained Devices |
提出S4oP以解决资源受限设备上的SSM模型效率问题 |
SSM state space model |
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| 9 |
Reversal Q-Learning |
提出Reversal Q-Learning以提升离线强化学习性能 |
reinforcement learning offline RL offline reinforcement learning |
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| 10 |
Multi-Adapter PPO: A Cross-Attention Enhanced Wavelength Selection Framework for LIBS Quantitative Analysis |
提出Multi-Adapter PPO框架以解决LIBS定量分析中的波长选择问题 |
reinforcement learning PPO |
✅ |
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| 11 |
Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets? |
评估数据集蒸馏在分类任务中的有效性与核心集的比较 |
distillation |
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| 12 |
Learning Fair Pareto-Optimal Policies in Multi-Objective Reinforcement Learning |
提出公平的Pareto最优策略以解决多目标强化学习中的公平性问题 |
reinforcement learning |
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| 13 |
From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning |
提出层次潜在选择模型以增强语言模型的组合泛化能力 |
reinforcement learning large language model |
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| 14 |
Continual Self-Improvement with Lightweight Experiential Latent Memories |
提出轻量级经验潜在记忆以实现持续自我改进 |
reinforcement learning large language model |
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| 15 |
Confusion-Aware Transfer Teacher Curriculum Learning Framework: Disentangling Scoring and Pacing Effects |
提出混淆感知转移教师课程学习框架以解决评分与节奏效应问题 |
curriculum learning |
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| 16 |
Expanding SPHERE-JEPA: A Family of Statistical Regularizers for the Hypersphere |
提出全维统计正则化方法以解决自监督学习中的表示崩溃问题 |
JEPA |
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| 17 |
MGUP: A Momentum-Gradient Alignment Update Policy for Stochastic Optimization |
提出MGUP以解决随机优化中的选择性更新问题 |
MAE large language model |
✅ |
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| 18 |
ResAware: Cross-Environment Website Fingerprinting via Resource-Privileged Distillation |
提出ResAware以解决跨环境网站指纹识别的鲁棒性问题 |
distillation |
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