| 1 |
Conservation Buys Stability and Factoring Buys Counterfactuals in Physical World Models |
提出结构化方法以解决物理世界模型的稳定性与反事实问题 |
world model world models physically plausible |
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| 2 |
REARL: A Closed-loop Autonomous Driving Simulation Enhancement Framework with Real Traffic Data and Large Language Models |
提出REARL框架以解决自动驾驶仿真中的真实交通数据整合问题 |
PPO large language model |
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| 3 |
Video DeltaNet: A Video-Native Hybrid Attention for Livestream Video Generation |
提出Video DeltaNet以解决视频生成中的计算瓶颈问题 |
linear attention distillation spatiotemporal |
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| 4 |
Score Centering Stabilizes Off-policy Reinforcement Learning |
提出得分中心化以稳定离线强化学习 |
reinforcement learning large language model |
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| 5 |
Learn Your Own Thoughts: Abstract Token Curriculum |
提出抽象标记课程以提升大语言模型的思维能力 |
curriculum learning large language model chain-of-thought |
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| 6 |
MATCH: Model-Aware Tool Learning with Curriculum Scheduling and Hierarchically Gated Rewards |
提出MATCH框架以解决工具学习中的课程调度与奖励问题 |
reinforcement learning curriculum learning large language model |
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| 7 |
When EOS Tokens Disagree: Understanding Length Inflation in On-Policy Distillation |
提出终止标记对齐方法以解决OPD中的长度膨胀问题 |
distillation |
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| 8 |
Seismic Site Response Prediction from Sparse Observations Using Finite-Element-Pretrained Latent Dynamics |
提出FLARE-T以改善稀疏观测下的地震场地响应预测 |
latent dynamics |
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| 9 |
Model-based Bootstrap for Offline Policy Evaluation in Tabular Reinforcement Learning |
提出基于模型的自助法以解决离线策略评估中的不确定性量化问题 |
reinforcement learning |
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| 10 |
EPIG-Tree: Compute-Optimal Branching for Gradient-Efficient Reinforcement Learning |
提出EPIG-Tree以解决强化学习中的奖励分配效率问题 |
reinforcement learning |
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| 11 |
DeliveryGym: An RL Environment for Long-Horizon Embodied Agent Planning with Adaptive Curriculum |
提出DeliveryGym以解决长时间规划中的资源管理问题 |
reinforcement learning multimodal |
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| 12 |
NS3Learn: Transferring 5G NR Mode-2 Reception Realism from ns-3 to the Veins/SUMO Stack for Connected-Vehicle Safety Assessment |
提出NS3Learn以解决5G NR Mode-2接收现实性问题 |
distillation penetration |
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| 13 |
Mitigating Retaliatory Algorithmic Collusion in Repeated Games |
提出CURB框架以解决重复博弈中的报复性算法共谋问题 |
reinforcement learning reward shaping |
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| 14 |
CARE-VI: Conservative Adaptive Reliability Estimation for Value Improvement in Off-Policy Actor-Critic Learning |
提出CARE-VI以解决离线策略演员-评论家学习中的可靠性估计问题 |
SAC TD3 |
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| 15 |
ASGARD: Action-Space Guard for UAV Resilience via Reinforcement Learning |
提出ASGARD以解决无人机控制中的动作空间攻击问题 |
reinforcement learning teacher-student privileged information |
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| 16 |
REFINEPPO: Learning Continuous Control Policies by Iterative Action Refinement |
提出REFINEPPO以解决连续控制策略迭代改进问题 |
reinforcement learning deep reinforcement learning DRL |
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| 17 |
Efficient Bayes-Adaptive Reinforcement Learning with Temporal Logic Specifications |
提出高效的贝叶斯自适应强化学习以满足时间逻辑规范 |
reinforcement learning |
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| 18 |
Continuous Delayed-Memory Stochastic Gradient Descent and Continuous-Time Reinforcement Learning from History of Astrophysical Time Series Studies |
提出连续延迟记忆随机梯度下降以解决天体物理时间序列建模问题 |
reinforcement learning |
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