cs.LG(2025-06-01)

📊 共 7 篇论文 | 🔗 1 篇有代码

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支柱二:RL算法与架构 (RL & Architecture) (4) 支柱九:具身大模型 (Embodied Foundation Models) (2 🔗1) 支柱七:动作重定向 (Motion Retargeting) (1)

🔬 支柱二:RL算法与架构 (RL & Architecture) (4 篇)

#题目一句话要点标签🔗
1 Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning 提出基于动作依赖图的全局最优协同强化学习方法 reinforcement learning
2 Closing the Gap between TD Learning and Supervised Learning with $Q$-Conditioned Maximization 提出GCReinSL,通过Q值条件最大化弥合TD学习与监督学习在离线强化学习中的差距 reinforcement learning offline RL offline reinforcement learning
3 Generalized Linear Markov Decision Process 提出广义线性MDP框架,解决传统线性MDP在非线性奖励场景下的局限性 reinforcement learning offline RL
4 Accelerated Learning with Linear Temporal Logic using Differentiable Simulation 提出结合可微仿真与线性时序逻辑的学习方法以解决稀疏奖励问题 reinforcement learning differentiable simulation

🔬 支柱九:具身大模型 (Embodied Foundation Models) (2 篇)

#题目一句话要点标签🔗
5 Uni-LoRA: One Vector is All You Need Uni-LoRA:提出一种单向量LoRA统一框架,实现极致参数高效的LLM微调。 large language model
6 SafeSteer: Interpretable Safety Steering with Refusal-Evasion in LLMs SafeSteer:利用类别特定steering vectors在LLM中实现可解释的安全引导与拒绝规避 large language model

🔬 支柱七:动作重定向 (Motion Retargeting) (1 篇)

#题目一句话要点标签🔗
7 Beyond Attention: Learning Spatio-Temporal Dynamics with Emergent Interpretable Topologies 提出InterGAT模型,通过可解释拓扑学习提升时空预测性能与效率。 spatial relationship

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