正文
1.【CMU课程:深度增强学习与控制】《CMU 10703: Deep Reinforcement Learning and Control (Spring 2017)》by Katerina Fragkiadaki, Ruslan Satakhutdinov
https://katefvision.github.io/
视频:
https://www.bilibili.com/video/av18865689/
By 爱可可-爱生活
2.Texygen自由文本生成评测平台,重点评测基于生成式对抗网络的诸多文本生成模型,包括SeqGAN, MaliGAN, RankGAN, TextGAN, GSGAN, LeakGAN等,评测指标覆盖文本的词组分布、单句质量、多句多样性等。
github:
https://github.com/geek-ai/Texygen/
论文:
https://arxiv.org/abs/1802.01886
By zwner
https://mp.weixin.qq.com/s/JUjTNNMiPYQQlZVIxWOtGQ
By 数盟
4.自然语言处理的神经网络模型初探
https://cloud.tencent.com/developer/article/1036794
By 腾讯云
https://mp.weixin.qq.com/s/6cFvh0OgouY_Lg7awxv_3g
By 机器之心