Minimal Policy Search Toolbox
-
Updated
May 19, 2020 - MATLAB
Minimal Policy Search Toolbox
Simple and self-contained TensorFlow implementation of reinforcement learning algorithms for continuous control, integrated with OpenAI Gym and other physics engines.
Relative entropy policy search (REPS) using neural networks in OpenAI Gym environments
Week 1 Javascript homework using arrays and objects with mocha/chai tests [js, basics, intro, arrays, objects, fundamentals, tests, mocha]
Week 1 JS homework: function drilling, scope practice, mocha tests. [js, basics, fundamentals, scope, functions, mocha]
Get your (react) reps in!
Week 1 javascript homework: js basic drills [boolean, string, array, objects, intro, js]
1 Rep Max calculator, simple Vanilla JavaScript (no React or other libraries)
Dotfiles for Reps & Co MacBook Pro running Mojave
A dynamic workout tracker that uses a Mongo database with a Mongoose schema and handles routes with Express. The app tracks the name, type, weight, sets, reps, distance and duration of exercise.
Add a description, image, and links to the reps topic page so that developers can more easily learn about it.
To associate your repository with the reps topic, visit your repo's landing page and select "manage topics."