牛哥精选 · 半年

📋 全部 🤖 AI·大模型 ⚡ 效率工具 📝 深度技术 🚀 产品观察 💰 商业科技 🔓 开源项目 🎨 设计创意 📖 阅读推荐 🏷 资源合集 🌱 成长效率

🤖 AI·大模型 arXiv 计算机视觉 2026-06-19

CARE: Competence-Aware Reward Shaping for Adaptive Reasoning Length in Video-MLLMs

视频大模型推理长度不再是死板固定，CARE用能力感知奖励塑形实现自适应思考，效率与精度兼顾。

arXiv:2606.19927v1 Announce Type: new Abstract: In multimodal video reasoning, reinforcement learning-based methods typically rely on simplistic and i…

视频mllm 推理长度奖励塑造自适应能力感知

🤖 AI·大模型 arXiv AI 2026-05-28

OccuReward: LLM-Guided Occupant-Centric Reward Shaping for Demographic Equity in Grid-Interactive Buildings

用大语言模型指导奖励函数设计，提升电网交互建筑中的群体公平性，兼顾效率与伦理

arXiv:2605.28168v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated promising capability in generating reward functions for…

大语言模型奖励塑造人口公平电网交互建筑可持续性

🔧 开发工具 arXiv AI 2026-05-19

Shaping Sparse Rewards in Reinforcement Learning: A Semi-supervised Approach

速览强化学习稀疏奖励的半监督解决方案，来自arXiv最新研究

arXiv:2501.19128v5 Announce Type: replace-cross Abstract: In many real-world scenarios, reward signal for agents are exceedingly sparse, making it cha…

强化学习稀疏奖励半监督学习奖励塑造机器学习

📅 日期

2026-05-20 2026-05-19

🐂 牛哥精选

CARE: Competence-Aware Reward Shaping for Adaptive Reasoning Length in Video-MLLMs

OccuReward: LLM-Guided Occupant-Centric Reward Shaping for Demographic Equity in Grid-Interactive Buildings

Shaping Sparse Rewards in Reinforcement Learning: A Semi-supervised Approach

📅 日期