cs.LG(2025-11-11)

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支柱二:RL算法与架构 (RL & Architecture) (2) 支柱一:机器人控制 (Robot Control) (1)

🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)

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1 Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks 揭示机器人强化学习环境动态稀疏性的挑战与特性,为世界模型学习提供新视角 reinforcement learning world model MuJoCo
2 Aligning by Misaligning: Boundary-aware Curriculum Learning for Multimodal Alignment 提出边界感知课程学习方法BACL,提升多模态对齐性能。 curriculum learning

🔬 支柱一:机器人控制 (Robot Control) (1 篇)

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3 Multistep Quasimetric Learning for Scalable Goal-conditioned Reinforcement Learning 提出多步准度量学习,解决可扩展的、长时程目标条件强化学习问题 manipulation reinforcement learning

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