| 1 |
Adjoint Guidance Flow: Amortized Critic Guidance for VLA Policies |
提出Adjoint Guidance Flow以优化VLA策略的长期任务回报 |
behavior cloning vision-language-action VLA |
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| 2 |
LRC-JEPA: Disentangling Dynamics and Residual Context for Efficient World Models |
提出LRC-JEPA以解决动态与残余上下文纠缠问题 |
world model world models JEPA |
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| 3 |
Distillation Defenses Easily Break After Reinforcement Learning |
提出强化学习后蒸馏攻击的新威胁模型 |
reinforcement learning distillation large language model |
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| 4 |
KiT: A Foundation Model for Financial Time-Series Forecasting using DiffusionTransformers |
提出KiT模型以解决金融时间序列预测中的信号噪声问题 |
flow matching foundation model |
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| 5 |
Structured Latent Modeling for Supervised Multimodal Information Decomposition |
提出结构化潜变量建模以解决多模态信息分解问题 |
representation learning multimodal |
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| 6 |
On-Policy or Off-Policy Learning? A Systematic Study of Distillation Dynamics |
研究蒸馏动态中的策略影响,挑战传统观点 |
reinforcement learning policy learning distillation |
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| 7 |
TIDE: Teacher-Student Transition via Informative Distillation and Exploration for Agentic RL |
提出TIDE以解决多回合强化学习中的教师-学生动态平衡问题 |
reinforcement learning teacher-student distillation |
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| 8 |
Learning What to Recall: Adaptive Multi-Cue Episodic Memory for World Models |
提出未来感知回忆框架以解决世界模型中的记忆选择问题 |
world model world models |
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| 9 |
Graph World Models for Constrained Epidemic Policy Planning |
提出EpiMind以解决区域间疫情政策规划问题 |
world model world models |
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| 10 |
Beyond Teacher Assignment: Domain-Normalized Multi-Teacher On-Policy Distillation |
提出域归一化多教师在线蒸馏以提升强化学习模型性能 |
reinforcement learning distillation instruction following |
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| 11 |
NeuronDiscover: Agent-in-Twin for Mechanistic Discovery in Neuronal Microenvironments with World Action Models |
提出NeuronDiscover以解决神经微环境中的机制发现问题 |
world action model world action models |
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| 12 |
Scalable In-Context Reinforcement Learning with Recurrent Algorithm Distillation |
提出递归算法蒸馏以解决长时间决策的可扩展性问题 |
reinforcement learning distillation |
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| 13 |
Teacher-Student Gaps Are Not Enough: Outcome-Guided On-Policy Distillation for Multi-Turn Autonomous Agents |
提出结果导向的在线蒸馏方法以提升多回合自主代理的表现 |
teacher-student distillation |
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| 14 |
BA-DPO: Bias-Adjusted Direct Preference Optimization for Language Model Alignment |
提出BA-DPO以解决语言模型偏见对齐问题 |
DPO direct preference optimization |
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| 15 |
Control-Geometry Straightening for Sampling-Based Latent Planning |
提出控制几何直化方法以优化基于采样的潜在规划 |
world model worldmodel world models |
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| 16 |
An RL View of OPD: Least Square Policy Distillation for Sample-Efficient LLM Reasoning |
提出最小二乘策略蒸馏以提高样本效率的语言模型推理 |
reinforcement learning teacher-student distillation |
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| 17 |
d-OPD: Future-Aware On-Policy Distillation for Block Diffusion Language Models |
提出d-OPD以解决AR与块扩散模型监督不匹配问题 |
distillation large language model |
✅ |
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| 18 |
Not All Rollouts Are Worth Learning: On Trajectory Valuation for Post-Training Reinforcement Learning |
提出动态轨迹估值方法以优化强化学习训练 |
reinforcement learning PPO DPO |
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| 19 |
Provable Benefits of Regularization: Fast Rates for Adversarial Imitation Learning |
提出双重正则化算法以提升对抗模仿学习的样本效率 |
policy learning imitation learning |
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| 20 |
Riccati State Space Models: Non-iterative Parallelization for Nonlinear Sequence Modeling |
提出RiccatiSSM以解决非线性序列建模的并行化问题 |
SSM state space model |
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| 21 |
ReSPO: Reshaped Sequence Policy Optimization for Gradient Starvation in Off-Policy Learning |
提出ReSPO以解决离线学习中的梯度饥饿问题 |
reinforcement learning policy learning |
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| 22 |
DivOPD: Spread Wide, Look Close for Asynchronous On-Policy Distillation of Multi-turn Agents |
提出DivOPD以解决异步多回合代理的蒸馏训练问题 |
teacher-student distillation |
✅ |
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| 23 |
Coding Agent Memory Post-training: Unlocking the Memory Potential of Pre-trained File Operations for Long-Horizon Tasks via Reinforcement Learning |
提出CAMG以解决长时间任务中的记忆使用问题 |
reinforcement learning PPO |
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| 24 |
Manifold-Stable Flow Matching |
提出流匹配方法以解决流生成中的流形约束问题 |
flow matching |
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| 25 |
Learning High-Risk High-Precision Motion Control |
提出SCOOT算法以解决高风险高精度运动控制问题 |
reinforcement learning deep reinforcement learning DRL |
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| 26 |
$λ$-JEPA Spectral Anti-Collapse Regularization for Self-Supervised Learning |
提出SACReg以解决自监督学习中的表示崩溃问题 |
JEPA |
✅ |
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| 27 |
KV-streams for Efficient Compaction in Agentic Reinforcement Learning |
提出KV-streams以解决长上下文训练效率问题 |
reinforcement learning |
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| 28 |
Cartridges++: KV Cache Compression without Off-Context Derailment |
提出Cartridges++以解决KV缓存压缩中的上下文偏差问题 |
distillation large language model |
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| 29 |
Reward-Aligned Reweighting for On-Policy Distillation |
提出R²-OPD以解决标准OPD中教师偏好与学生决策不匹配问题 |
distillation |
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| 30 |
Frontier Learning: Training LLM Reasoners at the Edge of Capability |
提出前沿学习以解决LLM推理能力提升问题 |
reinforcement learning large language model |
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| 31 |
Inductive Feedback for Mixed-Policy Distillation |
提出混合策略蒸馏的新方法以解决反馈利用不足问题 |
distillation |
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| 32 |
SpikeCredit: Temporal Credit Carrier for Reinforcement Learning with Sparse Rewards |
提出SpikeCredit以解决稀疏奖励强化学习中的信用分配问题 |
reinforcement learning |
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| 33 |
Adversarial Consistency-Guided Representation Learning for Multi-view Clustering |
提出ACGRL框架以解决多视角聚类中的一致性问题 |
representation learning |
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| 34 |
FlexiWorld: Learning and Planning via Flexible Action Chunks Across Multiple Time Scales |
提出FlexiWorld以解决长时间跨度目标规划问题 |
world model world models JEPA |
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| 35 |
SymbolicArena: A Unified Infrastructure for Benchmark Distillation and Dynamic Evaluation in Symbolic Regression |
提出SymbolicArena以解决符号回归基准评估的有效性问题 |
distillation |
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| 36 |
GraphHCA: Closed-Form Hindsight Credit Assignment for Long-Horizon LLM Agents |
提出GraphHCA以解决长时间跨度LLM代理的信用分配问题 |
reinforcement learning large language model |
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| 37 |
Cross-Rollout Bellman Closure for Long-Horizon Agentic Reinforcement Learning |
提出交叉回滚贝尔曼闭包以解决长时间跨度强化学习问题 |
reinforcement learning |
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| 38 |
MaPP: A Unified Marginalized Posterior-Predictive Framework for Data-Efficient RLVR |
提出MaPP框架以提升数据效率的RLVR方法 |
reinforcement learning large language model |
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| 39 |
Quality Determines Direction, Length Shapes Magnitude: Length Control for Open-Ended Reinforcement Learning |
提出质量引导长度优势塑造以解决开放式强化学习中的长度控制问题 |
reinforcement learning |
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| 40 |
FORGE: Form-Optimal Routing of Grounded Evidence for Frozen LLM Agents |
提出FORGE框架以优化冻结LLM代理的证据路由 |
distillation foundation model |
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| 41 |
DreamingGoose: Staged Distillation from Autoregressive Transformers to Bidirectional Recurrent Diffusion Language Models |
提出DreamingGoose以实现自回归变换器到双向扩散语言模型的蒸馏 |
distillation |
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| 42 |
An analysis of Mirror-Descent Soft Actor-Critic |
提出镜面下降软演员-评论家以提高收敛性 |
reinforcement learning SAC |
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