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A web-based interactive reinforcement learning demonstration for games.
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README.md

RL-Playground

A web-based interactive reinforcement learning demonstration for games, created for my A-level Computer Science coursework.

It provides a sandbox for experimenting with different reinforcement learning techniques including Q-Learning and Policy Gradients using neural networks to learn to play common games such as Pong or find optimal strategies for tasks such as the mountain-car problem.

The website is available at: https://basimkhajwal.github.io/RL-Playground/

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