Papers09:24Chinese content研究:经验回放在 sEMG 手势识别跨用户持续学习中优于 EWC做肌电手势识别或持续学习的可以看看:在 NinaPro DB1 上对比了三种策略,经验回放遗忘率只有 EWC 的零头,还有训练窗口怎么切才不崩的细节。#continual learning#sEMG#gesture recognition#experience replayaarXiv cs.LG@Aran Ramakrishnan et al. (5)SourceRead laterReadWorth followingUsefulFollow continual learning
Papers10:16Chinese content大模型通过持续预训练适应瑞典新闻业瑞典学者用新闻数据微调大模型,发现经验回放能防止遗忘,提升新闻写作质量。#Swedish journalism#continued pre-training#experience replay#fine-tuningaarXiv cs.AI@Lukas Borggren et al. (3)SourceRead laterReadWorth followingUsefulFollow Swedish journalism
Papers11:42Chinese content图像强化学习中整合新颖性与惊喜的经验回放方法DeepMind团队提出NSPER方法,结合新颖性和惊喜信号,让强化学习更高效探索。#Reinforcement Learning#NSPER#experience replayaarXiv: Google DeepMind@Hoda Yamani et al. (3)SourceRead laterReadWorth followingUsefulFollow Reinforcement Learning