diff --git a/chapter_reinforcement_learning/distributed_node_rl.md b/chapter_reinforcement_learning/distributed_node_rl.md index dfb5b90..773b307 100644 --- a/chapter_reinforcement_learning/distributed_node_rl.md +++ b/chapter_reinforcement_learning/distributed_node_rl.md @@ -28,9 +28,9 @@ Ray :cite:`moritz2018ray`是由伯克利大学几名研究人员发起的一个分布式计算框架,基于Ray之上构建了一个专门针对强化学习的系统RLlib :cite:`liang2017ray`。RLlib是一个面向工业级应用的开源强化学习框架,同时包含了强化学习的算法库,它对非强化学习专家使用也很方便。 -![RLlib分布式训练](../img/ch12/ch12-rllib-distributed.svg) +![RLlib分布式训练](../img/ch12/ch12-rllib-distributed.png) -:width:`800px` +:width:`600px` :label:`ch12/ch12-rllib_dist` diff --git a/img/ch12/ch12-rllib-distributed.png b/img/ch12/ch12-rllib-distributed.png index 6949273..e3a9017 100644 Binary files a/img/ch12/ch12-rllib-distributed.png and b/img/ch12/ch12-rllib-distributed.png differ diff --git a/img/ch12/ch12-rllib-distributed.svg b/img/ch12/ch12-rllib-distributed.svg index 7a2a71b..63d1b58 100644 --- a/img/ch12/ch12-rllib-distributed.svg +++ b/img/ch12/ch12-rllib-distributed.svg @@ -8,7 +8,7 @@ version="1.1" id="svg5" inkscape:version="1.1.1 (1:1.1+202109281949+c3084ef5ed)" - sodipodi:docname="rllib_dist1.svg" + sodipodi:docname="ch12-rllib-distributed.svg" xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape" xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd" xmlns="http://www.w3.org/2000/svg" @@ -28,8 +28,8 @@ fit-margin-right="0" fit-margin-bottom="0" inkscape:zoom="0.45291836" - inkscape:cx="442.68464" - inkscape:cy="325.66576" + inkscape:cx="301.37882" + inkscape:cy="473.59529" inkscape:window-width="1848" inkscape:window-height="1136" inkscape:window-x="72" @@ -174,9 +174,10 @@ id="path17845" sodipodi:nodetypes="cccc" /> + style="fill:none;stroke:#000000;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Mend)" + d="m 59.75092,108.92605 -0.01464,7.19111" + id="path18293" + sodipodi:nodetypes="cc" />