137 lines
4 KiB
TeX
137 lines
4 KiB
TeX
\documentclass[11pt]{article}
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% Essential packages
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\usepackage[utf8]{inputenc}
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\usepackage[T1]{fontenc}
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\usepackage{amsmath,amssymb}
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\usepackage{graphicx}
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\usepackage[margin=1in]{geometry}
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\usepackage{hyperref}
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\usepackage{algorithm}
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\usepackage{algorithmic}
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\usepackage{float}
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\usepackage{booktabs}
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\usepackage{caption}
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\usepackage{subcaption}
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% Custom commands
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\newcommand{\sectionheading}[1]{\noindent\textbf{#1}}
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% Title and author information
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\title{\Large{Your Project Title: A Study in Optimal Control and Reinforcement Learning}}
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\author{Your Name\\
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Course Name\\
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Institution}
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\date{\today}
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\begin{document}
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\maketitle
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\begin{abstract}
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Solar Racing is a competition with the goal of creating highly efficient solar-assisted electric vehicles. Effective solar racing
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requires awareness and complex decision making to determine optimal speeds to exploit the environmental conditions, such as winds,
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cloud cover, and changes in elevation. We present an environment modelled on the dynamics involved for a race, including generated
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elevation and wind profiles. The model uses the \texttt{gymnasium} interface to allow it to be used by a variety of algorithms.
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We demonstrate a method of designing reward functions for multi-objective problems. The environment shows to be solvable by modern
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reinforcement learning algorithms.
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\end{abstract}
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\section{Introduction}
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Start with a broad context of your problem area in optimal control/reinforcement learning. Then narrow down to your specific focus. Include:
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\begin{itemize}
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\item Problem motivation
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\item Brief overview of existing approaches
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\item Your specific contributions
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\item Paper organization
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\end{itemize}
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Solar racing was invented in the early 90s as a technology incubator for high-efficiency motor vehicles. The first solar races were speed
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focused, however a style of race that focused on minimal energy use within a given route was developed to push focus towards vehicle efficiency.
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The goal of these races is to arrive at a destination within a given time frame, while using as little grid (non-solar) energy as possible.
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Aerodynamic drag is one of the most significant sources of energy consumption, along with elevation changes. The simplest policy to meet
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the constraints of on-time arrival is:
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$$
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V_{\text{avg}} = \frac{D}{T}
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$$
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Where $D$ is the distance needed to travel, and $T$ is the maximum allowed time.
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\section{Background}
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Provide necessary background on:
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\begin{itemize}
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\item Your specific application domain
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\item Relevant algorithms and methods
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\item Previous work in this area
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\end{itemize}
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\section{Methodology}
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Describe your approach in detail:
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\begin{itemize}
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\item Problem formulation
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\item Algorithm description
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\item Implementation details
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\end{itemize}
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% Example of how to include an algorithm
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\begin{algorithm}[H]
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\caption{Your Algorithm Name}
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\begin{algorithmic}[1]
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\STATE Initialize parameters
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\WHILE{not converged}
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\STATE Update step
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\ENDWHILE
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\RETURN Result
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\end{algorithmic}
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\end{algorithm}
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\section{Experiments and Results}
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Present your findings:
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\begin{itemize}
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\item Experimental setup
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\item Results and analysis
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\item Comparison with baselines (if applicable)
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\end{itemize}
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% Example of how to include figures
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\begin{figure}[H]
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\centering
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\caption{Description of your figure}
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\label{fig:example}
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\end{figure}
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% Example of how to include tables
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\begin{table}[H]
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\centering
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\caption{Your Table Caption}
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\begin{tabular}{lcc}
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\toprule
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Method & Metric 1 & Metric 2 \\
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\midrule
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Approach 1 & Value & Value \\
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Approach 2 & Value & Value \\
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\bottomrule
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\end{tabular}
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\label{tab:results}
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\end{table}
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\section{Discussion}
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Analyze your results:
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\begin{itemize}
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\item Interpretation of findings
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\item Limitations and challenges
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\item Potential improvements
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\end{itemize}
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\section{Conclusion}
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Summarize your work:
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\begin{itemize}
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\item Key contributions
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\item Practical implications
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\item Future work directions
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\end{itemize}
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\bibliography{references}
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\bibliographystyle{plain}
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\end{document}
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