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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/OpenAI_Lunar_Lander

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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. A complete guide for how to install the LunarLander and LunarLanderContinuous enviornments can be found at the following link, https://medium.com/@brian.s.haney44/installing-spinningup-for-mac-os-x-9d5e24dc565a. A more general guide on reinforcement learning can be found here: https://medium.com/@brian.s.haney44/reinforcement-learning-5d578a0de1ff. A video of the optimized algorithm can be found at the following link, https://www.youtube.com/watch?v=5_f66jrAWiM.

Some scholarly articles on Deep Reinforcement Learning technology:

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3570254

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3527154

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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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