Ryan Rizzo's repositories
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.
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.
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.
Dijkstra-Implementation-in-Cpp
DIjkstra Implementation for line following robot to find shortest path to machinary on shop floor.
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!
Vehicle-Routing-Problem-2-Opt-
Implementation of the 2-opt algorithm as a solution to the Vehicle Routing Problem
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
COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
baselines
Forked from OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
gym-FetchCustom
Custom Fetch robotics environment to mimic our hardware
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
Reinforcement-Learning
This repo will contain Implementations of different RL algorithms, worked examples and requests for research from OpenAI.