Search

TRAIL
TRAIL
  • Home
  • About
    News People Facilities
  • Projects
  • Courses
    All Courses DL Basic DRL Seminar World Models and Intelligence AI Application Project
  • Resources
    All Resources Robot System Tutorial
  • Publications
  • Blog
  • Contact
  • English
    English
    日本語
Shixiang Shane Gu

Shixiang Shane Gu

Visiting Associate Professor

Interests
  • Deep Learning
  • Reinforcement Learning
  • Bayesian Machine Learning
  • Robotics
  • Artificial Life
Education
  • PhD in Machine Learning, 2018

    University of Cambridge

  • B.A.Sc. in Engineering Science, 2013

    University of Toronto

Latest

  • World robot challenge 2020 – partner robot: a data-driven approach for room tidying with mobile manipulator
  • Our Ecology Theory of RL workshop is accepted to NeurIPS 2021!
  • Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning
  • Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
  • Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization

Published with Wowchemy — the free, open source website builder that empowers creators.

Cite
Copy Download