| 1 |
Dynamic multi-agent deep reinforcement learning-based pricing and incentivization approach in multimodal transportation networks |
提出基于动态多智能体深度强化学习的定价与激励方法以解决多模式交通网络问题 |
reinforcement learning deep reinforcement learning multimodal |
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| 2 |
LOLLA: Deep Reinforcement Learning for Closed-Loop Link Adaptation Towards a GPU-Accelerated AI-RAN |
提出LOLLA以解决高动态环境下的链路适应问题 |
reinforcement learning deep reinforcement learning PPO |
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| 3 |
PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models |
提出PG-MAP以解决文本到图像模型推理对齐问题 |
flow matching classifier-free guidance latent optimization |
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| 4 |
Patient-Aware Contrastive Learning Preserves Per-Patient Structure in RR-Interval Representations |
提出患者感知对比学习以解决RR间期表示中的个体结构保留问题 |
representation learning contrastive learning geometric consistency |
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| 5 |
Group-Graph Policy Optimization for Long-Horizon Agentic Reinforcement Learning |
提出G2PO以解决长时间跨度强化学习中的奖励稀疏问题 |
reinforcement learning large language model |
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| 6 |
Provable Benefits of RLVR over SFT for Reasoning Models: Learning to Backtrack Efficiently |
提出RLVR方法以提升推理模型的回溯效率 |
reinforcement learning large language model chain-of-thought |
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| 7 |
MORL-A2C: Multi-Objective Reinforcement Learning Reranker for Optimizing Healthiness in MOPI-HFRS |
提出MORL-A2C以优化MOPI-HFRS中的健康饮食推荐 |
reinforcement learning behavior cloning |
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| 8 |
Superhuman AI for Generals.io Using Self-Play Reinforcement Learning |
提出超人类AI以解决Generals.io游戏中的策略挑战 |
reinforcement learning transformer policy |
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| 9 |
Self-Evolution for Multi-Turn Tool-Calling Agents via Divergence-Point Preference Learning |
提出自我进化方法以提升多轮工具调用代理的性能 |
preference learning DPO |
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| 10 |
ReNIO: Reweighting Negative Trajectory Importance for LLM On-Policy Distillation |
提出ReNIO以解决LLM蒸馏中负向轨迹重要性的问题 |
reinforcement learning distillation |
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| 11 |
One-Step Flow Matching for Generative Modeling of Path-Dependent Physical Fields |
提出基于流匹配的生成模型以高效模拟路径依赖物理场 |
flow matching distillation |
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| 12 |
Bridge the Gaps: Heterogeneous Attributed Graph Clustering via Quaternion Representation Learning |
提出AGREE框架以解决异构属性图聚类问题 |
representation learning |
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| 13 |
EvoRubrics: Dynamic Rubrics as Rewards via Adversarial Co-Evolution for LLM Reinforcement Learning |
提出EvoRubrics以解决静态评分标准在强化学习中的不足问题 |
reinforcement learning |
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| 14 |
TaLK: Text-attributed Graph Dataset Distillation via Coupling Language Model with Graph-Aware Kernel |
提出TaLK以解决文本属性图数据蒸馏问题 |
distillation |
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| 15 |
Hierarchical Reinforcement Learning for Sparse-Reward Search in Commutative Algebra |
提出层次强化学习框架以解决稀疏奖励的代数问题 |
reinforcement learning |
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