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  • Shaojun is a software engineer at Motive, working on deploying AI for the physical economy.
  • He worked on perception for autonomous driving at Argo AI.
  • Before that, he was a Ph.D. student (dropped out) in Computer Science at Rutgers University working with Kostas Bekris and Abdeslam Boularias. He received a Master of Science in Engineering of robotics from the University of Pennsylvania in 2014. Before studying in Philadelphia, he received Bachelor's degree in Electronics and Information Engineering from Huazhong University of Science and Technology, Wuhan, P.R.China in June 2012.

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Shaojun Zhu's Projects

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

distro icon distro

Torch installation in a self-contained folder

epsilon_free_inference icon epsilon_free_inference

Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

geometry icon geometry

Packages for common geometric calculations including the ROS transform library, "tf". Also includes ROS bindings for "bullet" physics engine and "kdl" kinematics/dynamics package.

gpy icon gpy

Gaussian processes framework in python

gpyopt icon gpyopt

Gaussian Process Optimization using GPy

guided-policy-search icon guided-policy-search

Implementation is mostly based on Sergey Levine work (http://www.eecs.berkeley.edu/~svlevine/).

gym-extensions icon gym-extensions

This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement learning, etc.)

hip-mdp-public icon hip-mdp-public

Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning

naivephysics icon naivephysics

Data generation for the Naive Physics project using Unreal Engine

nips2015 icon nips2015

Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games"

pazel icon pazel

pazel - generate Bazel BUILD files for Python

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