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pat-coady / walker2d.ipynb
Last active January 11, 2019 10:25
OpenAI Gym Walker2d
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pat-coady / README.md
Last active August 17, 2017 18:42
Proximal Policy Optimization with Generalized Advantage Estimation

Proximal Policy Optimization with Generalized Advantage Estimation

By Patrick Coady: Learning Artificial Intelligence

Summary

The same learning algorithm was used to train agents for each of the ten OpenAI Gym MuJoCo continuous control environments. The only difference between evaluations was the number of episodes used per training batch, otherwise all options were the same. The code is available in the GitHub repository. The exact code used to generate the submissions is in the aigym_evaluation branch.

The README.md file in the GitHub repository provides additional details on the algorithm and usage instructions.

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pat-coady / hopper.ipynb
Last active February 2, 2018 02:03
OpenAI Gym Hopper
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pat-coady / predict_and_saliency.ipynb
Last active July 17, 2023 13:01
Tiny ImageNet: view images, predictions, and saliency maps
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pat-coady / kernel_viz_conv4.ipynb
Last active August 17, 2017 18:43
Visualize Convolutional Neural Net (CNN) filters
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pat-coady / kernel_viz.ipynb
Last active October 2, 2018 13:01
Visualize Convolutional Neural Net (CNN) filters
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pat-coady / racetrack_sarsa.ipynb
Last active April 21, 2024 21:01
Sutton and Barto Racetrack: Sarsa
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pat-coady / racetrack.ipynb
Last active April 6, 2024 22:48
Sutton and Barto Racetrack: Off-Policy Monte Carlo Control
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pat-coady / jacks_car_rental_value_iteration.ipynb
Last active September 1, 2019 18:33
Jack's Car Rental: Value Iteration
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pat-coady / jacks_car_rental_policy_iteration.ipynb
Last active August 17, 2017 18:45
Jack's Car Rental: Policy Iteration
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