mateoguaman

Reinforcement Learning and Robotics.

Tufts University

Pinned Repositories

RAPDR
Research in Action Primitive Discovery for Robotics
Language:Python1 5 03
academic-kickstart
Easily create a beautiful website using Academic and Hugo
Language:Shell0 1 00
academic-website
Language:HTML0 1 00
action_primitive_variation
Language:Makefile0 2 00
agentlace
Connect agent policies for distributed ML applications
Language:Python0 0 00
CRISP-Lab-land-robot
Land robot being developed at CRISP Lab
Language:Arduino0 2 00
Kalman-Filter
Repository for implementation of Kalman Filter for IMU sensor fusion on stm32 and teensy
Language:C++2 2 00
MachineLearningHW
HW for Andrew Ng's Machine Learning class on Coursera
Language:MATLAB0 2 00
Reinforcement-Learning
Repository for Reinforcement Learning class at Tufts University
Language:Python0 2 00
Semantic-Autonomous-Mapping
Repository for SAM (Semantic Autonomous Mapping) project for COMP 50
Language:Python0 3 02

mateoguaman/CRISP-Lab-land-robot
Land robot being developed at CRISP Lab
Language:Arduino0 2 00
mateoguaman/baxter_playground
Repo for research with Baxter
Language:Python
mateoguaman/BerryIMU
Code related to BerryIMU
Language:C
mateoguaman/deeplearning-papernotes
Summaries and notes on Deep Learning research papers
mateoguaman/Example-Sketch-for-IMU-including-Kalman-filter
Software for "Guide to gyro and accelerometer with Arduino including Kalman filtering"
Language:C++
mateoguaman/httprequests
Library to abstract HTTP Requests
Language:Python
mateoguaman/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Language:Jupyter Notebook2 0