V
主页
何泰然 - Generative Adversarial Imitation Learning
发布人
视频摘要:本视频介绍了在imitation learning中引入GAN思想的Generative Adversarial Imitation Learning。介绍了Imitation learning以及主流的Behavior Cloning与Inverse reinforcement learning的方法,讲解了Generative Adversarial Imitation Learning的算法框架思想。 先导知识列表:生成式对抗网络、强化学习的概念基础
打开封面
下载高清视频
观看高清视频
视频下载器
陈天奇 - TVM
冯思远-Learning-based Deep Learning Compiler
潘哲逸-Urban Traffic Prediction from Spatio Temporal Data Using Deep Meta Learning
西云佳 - Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
程若愚 - Least-Squares Temporal Difference Learning
侯博涵-Transformer
王鸿伟 - Knowledge Graph Neural Networks for Recommender Systems
赵寒烨 - AdaGrad
侯嘉伟 - Graph convolutional neural networks for web-scale recommender systems
潘哲逸 - Cluster-GCN
强推!【CNN卷积神经网络详解】所有的卷积神经网络动画都是错的!除了这个动画!1小时带你吃透神经网络!(人工智能、机器学习算法、图像处理、AI)
韩松 - Model Compression and Efficient Deep Learning
宋宇轩-variational autoencoder
晋嘉睿 - HetGNN
林己 - TSM(Temporal Shift Module)
沈贯 - Automated phrase mining from massive text corpra
张力文 - Gaussian Mixture Latent Vector Grammars
秦佳锐 - RippleNet
揭秘印度街头骗局,谨防上当受骗!
秦佳锐 - Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
任侃 - Deep Learning for Market Price Modeling
任云玮-Optimization: Old and New
罗雅婷 - Mining Quality Phrases from Massive Text Corpora
房宇辰 - Variance Reduction for OL2R
黄泽人 - QMIX
任哲-unsupervised deep learning for optical flow esitmaiton
赖行 - Soft Actor-Critic
朱晨旭 - node importance in KG
房宇辰 - Jointly Learning Explainable Rules for Recommendation with Knowledge Graph
冯思远 - Parameter Hub
张文涛 - CNN for Text Classification
韩文娟 - Neural Probabilistic Models for Unsupervised Dependency Parsing
谢雨桐-A Brief Introduction to Graph Machine Learning Methods in Drug Discovery
陈伟哲 - TD3
刘相宇 - Reinforcement Learning with Deep Energy-Based Policies
粟锐 - Interactive Teaching Algorithm for IRL
YouthAI 2020 实践班结营答辩--漫画上色组
西云佳 - Session-based Recommendations with RNN
苏起冬 - pipedream
钱苏澄 - FL System