Browse Source

Compactify table

arxiv-v3
Markus Kaiser 3 years ago
parent
commit
b419023e07
  1. 33
      dynamic_dirichlet_deep_gp.tex

33
dynamic_dirichlet_deep_gp.tex

@ -523,32 +523,31 @@ At $x = -10$ the inferred modes and assignment processes start reverting to thei
\sisetup{
table-format=-1.3(3),
table-number-alignment=center,
separate-uncertainty,
separate-uncertainty=false,
% table-align-uncertainty,
table-figures-uncertainty=1,
detect-weight,
}
\newcolumntype{H}{>{\setbox0=\hbox\bgroup}c<{\egroup}@{}}
\footnotesize
\setlength{\tabcolsep}{1pt}
\begin{tabular}{HlSSSSSS}
\toprule
\toprule
& & \multicolumn{2}{c}{Mixed} & \multicolumn{2}{c}{Default only} & \multicolumn{2}{c}{Short-pole only} \\
\cmidrule(lr){3-4} \cmidrule(lr){5-6} \cmidrule(lr){7-8}
Runs & & {Train} & {Test} & {Train} & {Test} & {Train} & {Test} \\
\midrule
10 & DAGP & \bfseries 0.575 \pm 0.013 & \bfseries 0.521 \pm 0.009 & 0.855 \pm 0.002 & 0.844 \pm 0.002 & 0.686 \pm 0.009 & 0.602 \pm 0.005 \\
% 10 & U-DAGP & 0.472 \pm 0.002 & 0.425 \pm 0.002 & {\textemdash} & {\textemdash} & {\textemdash} & {\textemdash} \\
10 & DAGP 2 & 0.548 \pm 0.012 & \bfseries 0.519 \pm 0.008 & 0.851 \pm 0.003 & 0.859 \pm 0.001 & 0.673 \pm 0.013 & 0.599 \pm 0.011 \\
10 & DAGP 3 & 0.527 \pm 0.004 & 0.491 \pm 0.003 & 0.858 \pm 0.002 & 0.852 \pm 0.002 & 0.624 \pm 0.011 & 0.545 \pm 0.012 \\
% 10 & DAGP 4 & 0.517 \pm 0.006 & 0.485 \pm 0.003 & 0.858 \pm 0.001 & 0.852 \pm 0.002 & 0.602 \pm 0.011 & 0.546 \pm 0.010 \\
% 10 & DAGP 5 & 0.535 \pm 0.004 & 0.506 \pm 0.005 & 0.851 \pm 0.003 & 0.851 \pm 0.003 & 0.662 \pm 0.009 & 0.581 \pm 0.012 \\
\addlinespace
10 & BNN+LV & 0.519 \pm 0.005 & \bfseries 0.524 \pm 0.005 & {\textemdash} & {\textemdash} & {\textemdash} & {\textemdash} \\
10 & GPR Mixed & 0.452 \pm 0.003 & 0.421 \pm 0.003 & {\textemdash} & {\textemdash} & {\textemdash} & {\textemdash} \\
10 & GPR Default & {\textemdash} & {\textemdash} & \bfseries 0.873 \pm 0.001 & \bfseries 0.867 \pm 0.001 & -7.01 \pm 0.11 & -7.54 \pm 0.14 \\
10 & GPR Short & {\textemdash} & {\textemdash} & -5.24 \pm 0.04 & -5.14 \pm 0.04 & \bfseries 0.903 \pm 0.003 & \bfseries 0.792 \pm 0.003 \\
\bottomrule
Runs & & {Train} & {Test} & {Train} & {Test} & {Train} & {Test} \\
\midrule
10 & DAGP & \bfseries 0.575 \pm 0.013 & \bfseries 0.521 \pm 0.009 & 0.855 \pm 0.002 & 0.844 \pm 0.002 & 0.686 \pm 0.009 & 0.602 \pm 0.005 \\
% 10 & U-DAGP & 0.472 \pm 0.002 & 0.425 \pm 0.002 & {\textemdash} & {\textemdash} & {\textemdash} & {\textemdash} \\
10 & DAGP 2 & 0.548 \pm 0.012 & \bfseries 0.519 \pm 0.008 & 0.851 \pm 0.003 & 0.859 \pm 0.001 & 0.673 \pm 0.013 & 0.599 \pm 0.011 \\
10 & DAGP 3 & 0.527 \pm 0.004 & 0.491 \pm 0.003 & 0.858 \pm 0.002 & 0.852 \pm 0.002 & 0.624 \pm 0.011 & 0.545 \pm 0.012 \\
% 10 & DAGP 4 & 0.517 \pm 0.006 & 0.485 \pm 0.003 & 0.858 \pm 0.001 & 0.852 \pm 0.002 & 0.602 \pm 0.011 & 0.546 \pm 0.010 \\
% 10 & DAGP 5 & 0.535 \pm 0.004 & 0.506 \pm 0.005 & 0.851 \pm 0.003 & 0.851 \pm 0.003 & 0.662 \pm 0.009 & 0.581 \pm 0.012 \\
\addlinespace
10 & BNN+LV & 0.519 \pm 0.005 & \bfseries 0.524 \pm 0.005 & {\textemdash} & {\textemdash} & {\textemdash} & {\textemdash} \\
10 & GPR Mixed & 0.452 \pm 0.003 & 0.421 \pm 0.003 & {\textemdash} & {\textemdash} & {\textemdash} & {\textemdash} \\
10 & GPR Default & {\textemdash} & {\textemdash} & \bfseries 0.873 \pm 0.001 & \bfseries 0.867 \pm 0.001 & -7.01 \pm 0.11 & -7.54 \pm 0.14 \\
10 & GPR Short & {\textemdash} & {\textemdash} & -5.24 \pm 0.04 & -5.14 \pm 0.04 & \bfseries 0.903 \pm 0.003 & \bfseries 0.792 \pm 0.003 \\
\bottomrule
\end{tabular}
\end{table*}
Our third experiment is based on the cart-pole benchmark for reinforcement learning as described by~\textcite{barto_neuronlike_1983} and implemented in OpenAI Gym~\parencite{brockman_openai_2016}.

Loading…
Cancel
Save