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agents

TF-Agents is a library for Reinforcement Learning in TensorFlow

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

baselines

Forked from OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

custom-ddpg

dijkstra-implementation-in-cpp

DIjkstra Implementation for line following robot to find shortest path to machinary on shop floor.

energy-based-hindsight-experience-prioritization

Exploring different buffer sampling techniques to improve Hindisght Experience Replay on continuous control robotic application tasks. Continous action spaces & sparse rewards.

gym-fetchcustom

Custom Fetch robotics environment to mimic our hardware

industrial-path-planning-application

Application was built as part of an Engineering Project. A line-following robot capable of transporting material to machines on a shop floor. The robot will be able to: Scan the shop floor for machinery. Detect obstacles in it's path. Find the shortest route to the machine that is low on material. Allows user to enter a diagrammatic representation of the shop-floor.The application will process the image and come up with the shortest possible route. Commands sent to the robotic system allowing it to navigate to the machine.

leetcode-in-python

LeetCode Exercises in written Python, including submission benchmarks for Runtime and Memory

prioritizedexperiencereplay_cliffwalk_schaul2015

(Prioritized experience replay, random uniform replay) with tabular-Q for blind cliffwalk problem introduced as a motivating example in the publication Schaul et al., 2015

pytorch-hindsight-experience-replay

quadrupedrobot_deeprn

Project involving Deep Learning using TensorFlow, which involves GAIT learning of a quadrupedal robotic system. The robotic system is modeled in Unity3D, and utilizes recurrent neural networks.

reinforcement-learning

This repo will contain Implementations of different RL algorithms, worked examples and requests for research from OpenAI.

rl_baselines

A merge between OpenAI Baselines and Stable Baselines with increased focus on HER+DDPG and ease of use. Simply run the bash script to get started!

spotipy

An object oriented, Python implementation of an MP3 player

vehicle-routing-problem-2-opt-

Implementation of the 2-opt algorithm as a solution to the Vehicle Routing Problem