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Add q-learning and improve value iteration pseudocode

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Martin Thoma 2016-07-14 15:20:45 +02:00
parent 807b9268d0
commit 001350bae4
6 changed files with 88 additions and 3 deletions

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\documentclass{article}
\usepackage[pdftex,active,tightpage]{preview}
\setlength\PreviewBorder{2mm}
\usepackage[utf8]{inputenc} % this is needed for umlauts
\usepackage[ngerman]{babel} % this is needed for umlauts
\usepackage[T1]{fontenc} % this is needed for correct output of umlauts in pdf
\usepackage{amssymb,amsmath,amsfonts} % nice math rendering
\usepackage{braket} % needed for \Set
\usepackage{caption}
\usepackage{algorithm}
\usepackage[noend]{algpseudocode}
\DeclareCaptionFormat{myformat}{#3}
\captionsetup[algorithm]{format=myformat}
\begin{document}
\begin{preview}
\begin{algorithm}[H]
\begin{algorithmic}
\Require
\Statex Sates $\mathcal{X} = \{1, \dots, n_x\}$
\Statex Actions $\mathcal{A} = \{1, \dots, n_a\},\qquad A: \mathcal{X} \Rightarrow \mathcal{A}$
\Statex Reward function $R: \mathcal{X} \times \mathcal{A} \rightarrow \mathbb{R}$
\Statex Black-box (probabilistic) transition function $T: \mathcal{X} \times \mathcal{A} \rightarrow \mathcal{X}$
\Statex Learning rate $\alpha \in [0, 1]$, typically $\alpha = 0.1$
\Statex Discounting factor $\gamma \in [0, 1]$
\Procedure{QLearning}{$\mathcal{X}$, $A$, $R$, $T$, $\alpha$, $\gamma$}
\State Initialize $Q: \mathcal{X} \times \mathcal{A} \rightarrow \mathbb{R}$ arbitrarily
\State Start in state $s \in \mathcal{X}$
\While{$Q$ is not converged}
\State Select $a \in \mathcal{A}$ by $Q$ and an exploration policy (e.g. $\varepsilon$ greedy)
\State $r \gets R(s, a)$
\State $s' \gets T(s, a)$ \Comment{Receive the new state}
\State $Q(s', a) \gets (1 - \alpha) \cdot Q(s, a) + \alpha \cdot (r + \gamma \cdot \max_{a'} Q(s', a'))$
\State $s \gets s'$
\EndWhile
\Return $Q$
\EndProcedure
\end{algorithmic}
\caption{$Q$-learning: Learn function $Q: \mathcal{X} \times \mathcal{A} \rightarrow \mathbb{R}$}
\label{alg:q-learning}
\end{algorithm}
\end{preview}
\end{document}