4/11/2023 0 Comments Qwop gameWithout the need to make requests to the official site that hosts the game. The first thing is figuring out a way to run the game reliably Inspired by this video, the following is an attempt to code an agent using reinforcement learning that reaches consistently the 100 meter mark with under 8 hours of training.īefore we dig into the approach, here’s what I found to be the most useful writeup about getting started with reinforcement learning and an example of what is used in this project.īesides that here this are some useful resources to get started with RL.Īs usual, some leg work is required in order to have a runnable environment. As simple as it might seem, reaching the 100 meter mark took Mike approximately 8 hours. On one of this challenges, he tries to learn QWOP ( )Ī game (writen by Bennett Foddy) in which there are four input buttons Q,W,O,P that control tighs and calves of an infuriating To learn skills like juggling, stacking dice, and others while recording himself until he / ![]() ![]() Mike, as he likes to put it, is an average guy that tries Have you watched Mike Boyd’s channel on youtube?.
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