Name: Ryan Julian
Type: User
Company: USC, @rlworkgroup, @google
Bio: Roboticist and PhD student at USC studying the intersection of robotics and machine learning. Formerly at Berkeley, Leap Motion, and Google X.
Location: Los Angeles, CA
Blog: ryanjulian.me
Ryan Julian's Projects
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Machine Learning frameworks, libraries and software.
Reinforcement learning resources curated
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Shared files for PCB designs
The DeepMind Control Suite and Package
Embedding to Learn
Tensorflow implementation of generative adversarial imitation learning
Compute and visualise stats about GitHub issues
A toolkit for developing and comparing reinforcement learning algorithms.
H2Bird tracking and visual servoing using OpenCV on an OMAP3
Code for tracking robots using OpenCV on a OMAP.
Shared library for ImageProc projects
A set of test functions and a python interface to test the Biomimetic Millisystems ImageProc board + motor controller daughter board
ImageProc printed circuit boards
Contains an implementation of "Trust Region Policy Optimization" (TRPO)
Terrain classification code for "Performance analysis and terrain classification for a legged robot over rough terrain"
Terrain classification framework for IROS 2012 Paper (doi: 10.1109/IROS.2012.6386243)
Simple scripts which migrate Mailman archives to Google Groups for Business using the Groups Migration API
Manuscript for ICRA 2013 iBird tracking paper
Template and style files for ICLR
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
Multitask Environments for RL
EE192 Spring 2012 Group 10
Firmware for the OctoRoACH robot
OMAP Backpack PCBs
A collection of simple worlds
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.