cs.LG（2025-09-06）

📊 共 11 篇论文

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (6) 支柱二：RL算法与架构 (RL & Architecture) (3) 支柱一：机器人控制 (Robot Control) (2)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (6 篇)

#	题目	一句话要点	标签	🔗	⭐
1	Fisher Random Walk: Automatic Debiasing Contextual Preference Inference for Large Language Model Evaluation	提出Fisher随机游走方法，用于大规模语言模型评估中的自动去偏上下文偏好推断。	large language model
2	time2time: Causal Intervention in Hidden States to Simulate Rare Events in Time Series Foundation Models	提出时间序列Transformer模型的因果干预方法，模拟罕见事件并进行压力测试。	foundation model
3	Learning to Route: Per-Sample Adaptive Routing for Multimodal Multitask Prediction	提出一种自适应路由框架，用于解决多模态多任务预测中的数据异构性问题。	multimodal
4	GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR	GraMFedDHAR：图神经网络与差分隐私联邦学习用于多模态人体活动识别	multimodal
5	ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization	ProfilingAgent：利用Profiling引导的Agentic推理实现自适应模型优化	large language model foundation model
6	Finetuning LLMs for Human Behavior Prediction in Social Science Experiments	通过微调LLM，提升社会科学实验中人类行为预测的准确性	large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (3 篇)

#	题目	一句话要点	标签	🔗	⭐
7	Causal Debiasing Medical Multimodal Representation Learning with Missing Modalities	提出一种因果去偏的多模态医学表征学习方法，解决缺失模态带来的偏差问题。	predictive model representation learning multimodal
8	Offline vs. Online Learning in Model-based RL: Lessons for Data Collection Strategies	模型强化学习中离线与在线学习对比研究，揭示数据收集策略对性能的影响	reinforcement learning world model model-based RL
9	Reinforcement Learning with Anticipation: A Hierarchical Approach for Long-Horizon Tasks	提出基于预期学习的强化学习框架，解决长时程任务中的层级策略学习问题	reinforcement learning geometric consistency

🔬 支柱一：机器人控制 (Robot Control) (2 篇)

#	题目	一句话要点	标签	🔗	⭐
10	A Physics-Informed Neural Networks-Based Model Predictive Control Framework for $SIR$ Epidemics	提出基于物理信息神经网络的模型预测控制框架以解决SIR疫情建模问题	MPC model predictive control
11	Simulation Priors for Data-Efficient Deep Learning	SimPEL：利用仿真先验提升深度学习在数据稀缺场景下的性能	sim-to-real reinforcement learning

⬅️ 返回 cs.LG 首页 · 🏠 返回主页