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This repository contains information relating to experiments on Proximal Policy Optimization algorithm performance in the OpenAI LunarLander gym environment.

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Bhaney44/Cool-Lunar-AI-Robot-CLaiR

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OpenAI Lunar Lander

This repository contains information relating to experiments on algorithm performance in the OpenAI gym LunarLander-v2 environment. The experiments test and record the performance of various differentiations for deep reinforcement learning algorithms.

The Solved folder includes my writeup and information regarding an algorithm solving OpenAI's LunarLander-v2 enviornment. The Figure section contains graphs of performance metrics for algorithms with variations in performance and structure. I wrote a complete guide for how to install the LunarLander and LunarLanderContinuous enviornments. I also wrote a more general guide on reinforcement learning. I also posted a video of the optimized algorithm for the lunar lander.

Lunar Lander Simulation

Screenshot 2024-12-12 at 12 14 09 AM

Lunar Lander Simulation Data

Screenshot 2024-12-12 at 12 14 34 AM

Scholarly articles I've written on Deep Reinforcement Learning technology.

Reinforcement Learning Patents: A Transatlantic Review

Deep Reinforcement Learning Patents: An Empirical Survey

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This repository contains information relating to experiments on Proximal Policy Optimization algorithm performance in the OpenAI LunarLander gym environment.

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