ledmands
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Updated README
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README.md
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# Agent using DQN to play ALE/Pacman-v5
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## UPDATE 16 May 2024: Latest DQN model is version 2.
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This is an agent that is trained using Stable Baselines3 as part of the capstone project for South Hills School in Spring 2024.
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The goal of this project is to gain familiarity with reinforcement learning concepts and tools, and to train an agent to score up into the 400-500 point range in Pacman.
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This will plot the evaluation data that was gathered during the training run of the specified agent using MatPlotLib.
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Charts can be saved to a directory of the user's choosing.
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Currently in major development.
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# Agent using DQN to play ALE/Pacman-v5
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## UPDATE 16 May 2024: Latest DQN model is version 2.7.
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This is an agent that is trained using Stable Baselines3 as part of the capstone project for South Hills School in Spring 2024.
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The goal of this project is to gain familiarity with reinforcement learning concepts and tools, and to train an agent to score up into the 400-500 point range in Pacman.
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This will plot the evaluation data that was gathered during the training run of the specified agent using MatPlotLib.
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Charts can be saved to a directory of the user's choosing.
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Currently in major development.
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### plot_improvement.py
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This plots the score of an agent averaged over all evaluation episodes during a training run. Also plots the
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standard deviation. Removes the lowest and highest episode scores from each evaluation.
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