Ralami1859

Generalized-Likelihood-Ratio-GLR-Python-

Restarted-BOCPD

Stochastic-Multi-Armed-Bandit

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

awesome-rl-competitions

List of competitions related to Reinforcement Learning

bsuite

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

covid19model

Code for modelling estimated deaths and cases for COVID19.

DDQN-with-PyTorch-for-OpenAI-Gym

Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

dqn-timeseries

fastbook

Draft of the fastai book

mama-bandits

Code for Multi-Agent Multi-Armed Bandits, final project for CS 136 – i.e. (💪🎰💪) x n

micrograd

A tiny autograd engine and a neural net library on top of it, potentially for educational purposes

MONAI

AI Toolkit for Healthcare Imaging

MonteCarloTreeSearch

Monte carlo tree search algorithm

NeurIRS2019DroneChallengeRL

Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones

ORGAN

Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

PracticalSessions2019

Materials for the practical sessions at EEML2019

PracticalSessions2020

Repository for tutorial sessions at EEML2020

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

ReAgent

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

realworldrl_suite

Real-World RL Benchmark Suite

Reinforcement-Learning-2

reinforcement-learning-3

Reinforcement-Learning-4

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

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.

rudder-demonstration-code

Code for demonstration example-task in RUDDER blog

simple_rl

A simple framework for experimenting with Reinforcement Learning in Python.

spinningup

An educational resource to help anyone learn deep reinforcement learning.