Implemented Linear, Ridge and Non Linear Regression models to predict diabetes level from the medical data provided as features and carried out performance analysis between the three types based on root mean square errors on the test data. (Note: No built in libraries were used for regression, as the purpose was to explore the topic in hand)

reinforcejs

Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)

reinforcement-learning

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

reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

reinforcement-learning-with-tensorflow

Reinforcement learning tutorials

reinforcement-trading

This project uses Deep Q learning on stock market and agent tries to learn trading. I want to check if the agent can learn to read tape. The project is dedicated to my Hero in life great Jesse Livermore.

reinforcement_learning_for_stock_prediction

This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube

relacy

Relacy Race Detector - reworked

relu

Reinforcement learning for Language Understanding (on larger scale tasks)

remotedesktop

A from-scratch re-implementation of VNC / TeamViewer / Remote Desktop. Working screen transfer, NAT traversal / UDP hole punching, uses a mirror driver.