Code for conservative Q-learning

An ongoing repository of data on coronavirus cases and deaths in the U.S.

A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning

Models and examples built with TensorFlow

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Code from "Intro to OpenAI Gym" tutorial video: https://youtu.be/8MC3y7ASoPs

Working repository for Causal Tree and extensions

This is the code for "Time Series Prediction" By Siraj Raval on Youtube

Python implementations of the RL algorithms in examples and figures in Sutton & Barto, Reinforcement Learning: An Introduction

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Predict and recommend the news articles, user is most likely to click in real time.

The Python programming language

A Survey of Multi-Factor Models

SDS 385: Statistical Models for Big Data