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reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-for-decision-making-in-self-driving-cars

Reinforcement-Learning-for-Decision-Making-in-self-driving-cars

reinforcement-learning-in-portfolio-management-

In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.

reinforcement-learning-playground

Reinforcement Learning Experiments

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

reinforcement_learning

Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

reinforcement_learning_course_materials

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

restarted-bocpd

rl-bitcoin-trading-bot

Trying to create Reinforcement Learning powered Bitcoin trading bot

rl4rs

A Real-World Benchmark for Reinforcement Learning based Recommender System

rlberry

An easy-to-use reinforcement learning library for research and education.

rlss-2019

[RLSS 2019] Bandits, RL & Deep RL: Practical Sessions.

rlstructures

RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, and different RL algorithms provided as examples.

rltorch

A RL package for Torch that can also be used with openai gym

roerich

Roerich is a python library of change point detection algorithms for time series.

rudder-demonstration-code

Code for demonstration example-task in RUDDER blog

sg-d3qn

Robot Navigation in a Crowd by Integrating Deep Reinforcement Learning and Online Planning

simple_rl

A simple framework for experimenting with Reinforcement Learning in Python.

solar_panels_rl

Repository for code experimenting with RL and Solar Tracking

spinningup

An educational resource to help anyone learn deep reinforcement learning.

stochastic-multi-armed-bandit

Implementation of 9 multi-armed bandit algorithm for the stationary stochastic environment

stochastic-multi-armed-bandit-python-

survey_ai_drug_discovery

tensor-house

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

trademaster

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:

trfl

TensorFlow Reinforcement Learning

trl

Train transformer language models with reinforcement learning.

tscp2

Time Series Change Point Detection based on Contrastive Predictive Coding

tum_masters_thesis

Master's thesis in Computer Science at Technical University of Munich. Written in latex.

ucrl