text-to-image reinforcement pre-trained generate

Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning

概述 Learning form the Void (LfVoid) 根据给定的language instruction对observation进行appearance-based and structure-based修改得到goal images,为RL提供奖励信号。提升了example-bas ......

手写generator核心原理

1. generator 的使用 Generator 函数跟普通函数的写法有非常大的区别: 一是,function 关键字与函数名之间有一个星号; 二是,函数体内部使用 yield 语句,定义不同的内部状态(yield 在英语里的意思就是“产出”)。 最简单的 Generator 函数如下: fun ......
generator 原理 核心

generator基础知识

Generator 是 ES6 中新增的语法,和 Promise 一样,都可以用来异步编程。Generator 函数可以说是 Iterator 接口的具体实现方式。Generator 最大的特点就是可以控制函数的执行。 function* 用来声明一个函数是生成器函数,它比普通的函数声明多了一个*, ......
基础知识 generator 基础 知识

OpenSSL - Generate random string

zzh@ZZHPC:~$ openssl rand -hex 64 273fabd76b8dd62621325e4b04af332dd739702ae553ffc034a4af205faedbfee21202d3808e3640770b682c151aaa8308871533572d60947724 ......
Generate OpenSSL random string

【略读论文|时序知识图谱补全】DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning

会议:SIGIR,时间:2023,学校:苏州大学计算机科学与技术学院,澳大利亚昆士兰布里斯班大学信息技术与电气工程学院,Griffith大学金海岸信息通信技术学院 摘要: 原因:现在的时序知识图谱推理方法无法生成显式推理路径,缺乏可解释性。 方法迁移:由于强化学习 (RL) 用于传统知识图谱上的多跳 ......

【论文阅读】Improving language understanding by generative pre-training

原始题目:Improving language understanding by generative pre-training 中文翻译:通过生成预训练提高语言理解能力 发表时间:2018年 平台:Preprint 文章链接:https://www.mikecaptain.com/resource ......

OpenSSL - Certificate Generation

We will use the OpenSSL (https://www.openssl.org/source/) tool to generate self-signed certificates. A certificate authority (CA) is responsible for s ......
Certificate Generation OpenSSL

[Javascript] Using Generator to create a number generate with condition

const generateTimeMs = (min, max) => Math.floor(Math.random() * (max - min + 1)) + min /** * A generator which can generate numbers based on settings ......

[939] Generate a new shapefile based on a list of records and query polygons from a large shapefile

ref: arcpy.management.MakeFeatureLayer(in_features, out_layer, {where_clause}, {workspace}, {field_info}) ref: arcpy.management.SelectLayerByAttribute ......
shapefile Generate polygons records based

基于时间频率一致性对时间序列进行自监督对比预训练《Self-Supervised Contrastive Pre-Training for Time Series via Time-Frequency Consistency》(时序、时频一致性、对比学习)

2023年11月10日,今天看一篇论文,现在17:34,说实话,想摆烂休息,不想看,可还是要看,拴Q。 论文:Self-Supervised Contrastive Pre-Training for Time Series via Time-Frequency Consistency 或者是:Sel ......
一致性 时间序列 时间 时序 Time

study of 'Missing data imputation framework for bridge structural health monitoring based on slim generative adversarial networks'

the Stochastic Gradient Descent (SGD):为了提高鲁棒性,SGAIN框架的优化器采用了随机梯度下降(SGD) 一,SGAIN框架有两个重要目的:鉴别器D的目的是最大化正确预测M矩阵的概率;生成器的目的是最小化D预测M矩阵的概率。此外,利用反向传播算法对发生器和鉴别器 ......

Reinforcement Learning Chapter 1

本文参考《Reinforcement Learning:An Introduction(2nd Edition)》Sutton. 强化学习是什么 传统机器学习方法可分为有监督与无监督两类; 有监督学习 > 任务驱动 无监督学习 > 数据驱动 强化学习则可看作机器学习的“第三范式” > 模拟驱动,具体 ......
Reinforcement Learning Chapter

Error: install profile containers-default-0.50.1: generate default profile into pipe: get AppArmor version: convert AppArmor patch version: strconv.Atoi: parsing "0~alpha2": invalid syntax

Bug #2040082 “error parsing AppArmor version” : Bugs : golang-github-containers-common package : Ubuntu Bug #2040082 “error parsing AppArmor version” ......

TRL(Transformer Reinforcement Learning) PPO Trainer 学习笔记

(1) PPO Trainer TRL支持PPO Trainer通过RL训练语言模型上的任何奖励信号。奖励信号可以来自手工制作的规则、指标或使用奖励模型的偏好数据。要获得完整的示例,请查看examples/notebooks/gpt2-sentiment.ipynb。Trainer很大程度上受到了原 ......

使用ES6生成器(Generators)和redux-saga与使用ES2017的async/await和redux-thunk相比的优缺点。

内容来自 DOC https://q.houxu6.top/?s=使用ES6生成器(Generators)和redux-saga与使用ES2017的async/await和redux-thunk相比的优缺点。 目前关于redux的最新讨论焦点是redux-saga/redux-saga。它使用生成器 ......

Adding Conditional Control to Text-to-Image Diffusion Models

https://mp.weixin.qq.com/s/iL6YitT7EGP6DnrBehb9MQ 1.Adding Conditional Control to Text-to-Image Diffusion Models 论文地址:https://arxiv.org/pdf/2302.05543 ......

关于topology generated by functions的一些思考

平时所学的拓扑都是直接给出开集族或者是basis or subbasis,然后由basis or subbasis生成拓扑。 前些天看Kechris时,遇到了weak topology。泛函分析时学过weak convergence,但没有接触过weak topology。 它给出的定义是gener ......
generated functions topology by

Example for generate RSA key

1. Use OpenSSLGenerate private key:> openssl genrsa -out private.pem 2048By default the format of output is PKCS#1-PEM Generate public key:> openssl r ......
generate Example for RSA key

How to format lists in pandoc-generated docx documents?

Sorry, the list indentations are currently hard-coded and can't be customized. You could, however, postprocess the docx produced by pandoc, changing t ......

Introduction of Deep Reinforcement Learning

Reading Notes about the book Deep Reinforcement Learning written by Aske Plaat Recently, I have been reading the book Deep Reinforcement Learning writ ......
Reinforcement Introduction Learning Deep of

Tabular Value-Based Reinforcement Learning

Reading Notes about the book Deep Reinforcement Learning written by Aske Plaat Recently, I have been reading the book Deep Reinforcement Learning writ ......

Autoregressive Search Engines: Generating Substrings as Document Identifiers

目录概SEAL代码 Bevilacqua M., Ottaviano G., Lewis P., Yih W., Riedel S. and Petroni F. Autoregressive search engines: generating substrings as document ide ......

openapi-generator修改默认生成的Model文件名称

openapi-generator为各种语言都以抽象类的形式进行了默认配置 以Typescript为例,其中的抽象类路径为 openapi-generator\modules\openapi-generator\src\main\java\org\openapitools\codegen\langu ......

Generative AI 新世界 | Falcon 40B 开源大模型的部署方式分析

在上期文章,我们探讨了如何在自定义数据集上来微调(fine-tuned)模型。本期文章,我们将重新回到文本生成的大模型部署场景,探讨如何在 Amazon SageMaker 上部署具有 400 亿参数的 Falcon 40B 开源大模型。 ......
Generative 模型 方式 Falcon 40B

[Compose] Async generator, Promise + generator

function getData(d) { setTimeout(() => { if (typeof d "number") { run.next(d/2) } else { run.next(d) } }, 500) } function* gen() { var x = 1 + (yield ......
generator Compose Promise Async

GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks

目录概符号说明GraphPrompt代码 Liu Z., Yu X., Fang Y. and Zhang X. GraphPrompt: Unifying pre-training and downstream tasks for graph neural networks. WWW, 2023. ......

GPT-GNN: Generative Pre-Training of Graph Neural Networks

目录概符号说明GPT-GNN代码 Hu Z., Dong Y., Wang K., Chang K. and Sun Y. GPT-GNN: Generative pre-training of graph neural networks. KDD, 2020. 概 比较早的一篇图预训练模型. 符号 ......

MybatisX-Generator自动代码生成插件使用

使用步骤: 1、安装MybatisX插件; 2、idea的database连接数据库; 3、数据库表上右键,点击MybatisX-Generator; 4、 进行生成代码的配置,按自己的项目项目修改如图三个位置的路径,配置完成后点击Next 5、本人项目是Mybatis-plus项目,如图的配置是针 ......

Atcoder Beginner Contest 324 G Generate Arrays 题解-Treap

为了更好的阅读体验,请点击这里 题目链接 套上平衡树板子就能做的很快的题,然后因为是指针存树,因此交换只需要把序列大小较小的挨个拿出来插到相应的地方即可。复杂度 \(O(N \log^2 N)\)。 但是一定要记住 不可以直接使用 std::swap 交换包含带有指针的类的实例(如代码中的 Trea ......
题解 Beginner Generate Atcoder Contest

Go - Generating Random Test Inputs for Tests

Problem: You want to generate random test data for running your test functions. Solution: Use fuzzing , which is an automated testing technique to gen ......
Generating Random Inputs Tests Test