GitHub - reggiejohanes/RL_SARSA_F1RaceStrategy: This program utilizes reinforcement learning (SARSA algorithm) to calculate optimal F1 race strategies.

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This program utilizes reinforcement learning (SARSA algorithm) to calculate optimal F1 race strategies.

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Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
Data		Data
Figures		Figures
AE4350Assignment_2023_ReggieJohanes5477506.pdf		AE4350Assignment_2023_ReggieJohanes5477506.pdf
getraceinfo.m		getraceinfo.m
racesim_main_v5.m		racesim_main_v5.m
readme.txt		readme.txt
tiredeg_model.m		tiredeg_model.m

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> Course          : AE4350 Bio-Inspired Intelligence and Learning for Aerospace Applications
> Student Name    : Reggie Johanes
> Student Number  : 5477506
> Email           : reggiejohanes@student.tudelft.nl
> Submission Date : 31 August 2023

> Main file: racesim_main_v5
> Input folders:
	- Data: Contains raw laptime data from multiple races.
> Output folders:
	- Figures: Figures will be exported to this folder.
> Learning process will take roughly 1-2 minutes to complete with 80,000 episodes.