| 44 |
Decision Titan: Test-Time Training for Long-Term Memory in Offline Reinforcement Learning |
提出Decision Titan以解决离线强化学习中的长期记忆问题 |
reinforcement learning offline RL offline reinforcement learning |
|
|
| 45 |
Homomorphic Advantage Operator: Stabilizing Reinforcement Learning Under Fully Homomorphic Encryption Constraints |
提出同态优势算子以解决强化学习中的同态加密问题 |
reinforcement learning OMOMO |
|
|
| 46 |
SPHERE: Adaptive VR Indoor Scene Generation via LLM-Enhanced Spatial Preference Learning and Human-in-the-Loop RL |
提出SPHERE以解决用户偏好在VR室内场景生成中的不足问题 |
reinforcement learning preference learning large language model |
✅ |
|
| 47 |
Dependency-Aware Reward Shaping for Agentic Reinforcement Learning |
提出依赖感知奖励塑形方法以优化强化学习中的步骤信用分配 |
reinforcement learning reward shaping large language model |
✅ |
|
| 48 |
On the Divergence of Accuracy and Mechanism Consistency in Time Series World Models |
提出时间序列世界模型以解决预测准确性与机制一致性问题 |
world model world models MAE |
|
|
| 49 |
Grounding Large Language Models in DSGE Simulators for Policy Generation and Forecasting |
将大型语言模型与DSGE模拟器结合以生成经济政策 |
PPO large language model |
|
|
| 50 |
Network World Models as Environments for Algorithm Design on Complex Systems |
提出基于网络世界模型的算法设计方法以优化复杂系统干预 |
world model world models |
|
|
| 51 |
Optimal Transport Meets Reinforcement Learning: A Survey |
综述最优传输在强化学习中的应用与挑战 |
reinforcement learning offline RL imitation learning |
|
|
| 52 |
LineupRL: Verifiable Reinforcement Learning for Time Series Captioning via Caption-to-Series Identification |
提出LineupRL以解决时间序列描述中的奖励设计问题 |
reinforcement learning large language model |
|
|
| 53 |
PPO-HRAP: Proximal Policy Optimization with a Hybrid Regime-Aware Policy for Risk-Controlled Trading |
提出PPO-HRAP以解决风险控制交易中的收益与回撤平衡问题 |
reinforcement learning PPO |
|
|
| 54 |
Reinforcement Learning to Accelerate Primal-Dual Hybrid Gradient for Linear Programming |
提出GALLOP以加速线性规划的原始-对偶混合梯度方法 |
reinforcement learning |
|
|
| 55 |
Sharpening Tax in Post-Training |
提出Sharpening Tax以量化后训练对解决方案覆盖率的影响 |
reinforcement learning large language model |
|
|
| 56 |
Mapping the RAG Landscape: A Four Axis Taxonomy of Efficiency, Defense, Interactivity, and Reasoning |
提出四轴分类法以提升检索增强生成模型的效率与可靠性 |
reinforcement learning large language model |
|
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| 57 |
Rethinking Probability-Based Reinforcement Learning From Posterior Concentration |
提出RLCPR以解决长时推理中的奖励不稳定问题 |
reinforcement learning |
|
|
| 58 |
ProtoFlow: Prototype-Guided Flow Matching for Multivariate Time Series Forecasting |
提出ProtoFlow以解决多变量时间序列预测中的生成建模问题 |
flow matching |
|
|
| 59 |
AbsorbEvo: An Agentic Framework for Autonomous Inverse Design of Microwave Absorbers |
提出AbsorbEvo框架以实现微波吸收体的自主逆向设计 |
predictive model large language model |
|
|
| 60 |
Improving Math Reasoning through Value-guided Informative Search |
提出APIVIS框架以提升数学推理能力 |
reinforcement learning large language model |
|
|
| 61 |
ActiveSaddler: Automated Curriculum Learning for Agent Harness Optimization |
提出ActiveSaddler以解决自动化课程学习中的优化问题 |
curriculum learning |
|
|
| 62 |
IGNITE Tokamak World Model Architecture |
提出IGNITE模型以高效模拟核聚变等离子体行为 |
world model world models foundation model |
|
|
| 63 |
Calibration-risk routing for controlled world-model adaptation |
提出模型校正世界模型以解决模拟器与目标之间的适应问题 |
reinforcement learning world model world models |
|
|
| 64 |
World Action Modeling with Progressive Visual Planning |
提出ProWAM以解决长时间预测中的视觉动态与动作生成问题 |
world action model world action models |
✅ |
|
| 65 |
How To Train Your World Model: Fine-tuning vs RAG for LM-based World Modeling |
提出混合世界建模系统以优化语言模型的环境模拟 |
world model world models |
|
|
| 66 |
Tropical Reinforcement Learning |
提出热带强化学习以解决语言模型的组合推理问题 |
reinforcement learning large language model |
|
|
| 67 |
RISED: RubrIcs for agentic multi-environment Selection and sElf-Distillation |
提出RISED以解决多环境强化学习中的数据选择问题 |
distillation generalist agent |
|
|
| 68 |
THPL: A Vision-to-Language Decision Support Framework for Rainbow Trout Feeding Management in RAS |
提出THPL框架以解决循环水养殖系统中虹鳟鱼喂养管理问题 |
direct preference optimization spatiotemporal multimodal |
|
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| 69 |
Reinforcement Learning Techniques for the Optimization of Target Polarization in Nuclear Physics Scattering Experiments |
提出数据驱动控制框架以优化核物理散射实验中的目标极化 |
reinforcement learning |
|
|
| 70 |
Rethinking Probability-Based Reinforcement Learning From Posterior Concentration |
提出RLCPR以解决长序列推理中的奖励不稳定问题 |
reinforcement learning |
|
|
| 71 |
Learning Multiple Timescales for Goal-Conditioned Reinforcement Learning |
提出GITA以解决长时间跨度目标条件强化学习问题 |
reinforcement learning |
|
|
| 72 |
World Editing: Intervening on Executable Worlds at Increasing Depth |
提出世界编辑方法以解决可执行世界编辑不足问题 |
world model world models |
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