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deep-reinforcement-learning
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Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Updated
Oct 26, 2022
Python
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Updated
Dec 19, 2022
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Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Updated
Nov 5, 2022
Jupyter Notebook
Open-source simulator for autonomous driving research.
Trax — Deep Learning with Clear Code and Speed
Updated
Feb 15, 2023
Python
FinRL: Financial Reinforcement Learning. 🔥
Updated
Mar 23, 2023
Jupyter Notebook
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
Updated
Dec 9, 2021
Python
Updated
Mar 23, 2023
Jupyter Notebook
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Updated
Feb 27, 2023
Jupyter Notebook
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
Updated
Mar 11, 2023
JavaScript
A course in reinforcement learning in the wild
Updated
Feb 22, 2023
Jupyter Notebook
Repo for the Deep Reinforcement Learning Nanodegree program
Updated
Mar 9, 2023
Jupyter Notebook
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Updated
Jun 30, 2020
Jupyter Notebook
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Updated
Dec 6, 2022
Jupyter Notebook
Tensorforce: a TensorFlow library for applied reinforcement learning
Updated
Jan 15, 2023
Python
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Updated
May 29, 2022
Python
Minimal and Clean Reinforcement Learning Examples
Updated
Nov 22, 2022
Python
Modularized Implementation of Deep RL Algorithms in PyTorch
Updated
Oct 18, 2022
Python
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