The r2d3 package provides a suite of tools for using D3 visualizations with R, including: Translating R objects into D3 friendly data structures. Rendering D3 scripts within the RStudio Viewer and R Notebooks. Publishing D3 visualizations to the web. Incorporating D3 scripts into R Markdown reports, presentations, and dashboards

R2D3 is an experiment in expressing statistical thinking with interactive design. Find us at @r2d3us. Questions? Check out the FAQs.

Supports translating objects into 'D3' friendly data structures, rendering 'D3' scripts, publishing 'D3' visualizations, incorporating 'D3' in R Markdown, creating interactive 'D3' applications with Shiny, and distributing 'D3' based 'htmlwidgets' in R packages.

To use r2d3, write a D3 script and then pass R data to it using the r2d3() function. For example, here’s a simple D3 script that draws a bar chart (“barchart.js”):

R2D3是在R2D2的基础上改进而来，而R2D2则在Ape-x的基础上发展而来，都是并行强化学习使用的架构方法，其中R2D3中就利用了专家经验来提升性能。 对于 Ape-x 架构如下：

R2D2结合了 (1) Recurrent State 来使策略有记忆能力，（2）Prioritized Experience Replay来提升样本采样效率，以及（3）Distributed Training 来提升训练的速度和样本多样性。 本文提出的 R2D3 在此基础上多了一个D，是指 Demonstrations，即专家数据。 在训练中，R2D3 算法不仅使用智能体产生的数据，还使用专家数据进行学习。 具体的，使用两个独立的 replay buffer，左侧的 demo replay 来存储专家数据，右侧的 agent replay 来存储交互的数据，分别使用R2D2的方法 …

There are a number of excellent resources available for learning how to do data visualization with D3, including online tutorials, self-paced courses, and books. There are also sites that provide numerous examples to learn from.

2018年10月5日 · To use r2d3, write a D3 script and then pass R data to it using the r2d3() function. For example, here’s a simple D3 script that draws a bar chart (“barchart.js”): .data(data) .enter().append('rect') .attr('width', function(d) { return d * width; }) .attr('height', barHeight) .attr('y', function(d, i) { return i * barHeight; })

R2D2主要还是在Apex上面做了改进，加入例如循环神经网络，buffer每一次存放的是一个序列的数据，还引入了 burn-in，如下： 与其他文章clipreward不同，R2D2直接对value值进行缩放了。 在atari效果还是可以的秒apex的，但是在DMLab-30可能还有些差于impala。 RL就是这样，没有一个方法对所有的游戏都能提升。 接下来说R2D3.文章链接. 主要是为了解决下面三个问题： Recur. 这是deepmind在R2D2上又加了一个D，这个D代表的是专家数据的意思。

The viewer argument to the r2d3() function enables you to customize how D3 visualizations are viewed when printed from within the RStudio console. The following options are available: