Lihong Li (ÀîÁ¦ºè)

[Education] [Interests] [Publications] [Software] [Professional Activities] [Working Experience] [Teaching Experience]

• 01/2005 - present, PhD candidate, Computer Science, Rutgers University, New Brunswick, NJ, USA
  • Advisor: Michael L. Littman
• 09/2002 - 07/2004, M.Sc., Computing Science, University of Alberta, Edmonton, AB, Canada
  • Advisors: Vadim Bulitko and Russell Greiner
• 09/1998 - 07/2002, B.Eng., Computer Science and Technology, Tsinghua University, Beijing, P.R. China

• Vowpal Wabbit is a C++ implementation of two fast online learning algorithms (with John Langford and Alex Strehl)
• MyAgent is a C++ implementation of reinforcement-learning agents that allows fast creation of many RL agents. It incorporates a number of techniques for function approximation, exploration, and value-function learning. (To be released soon)

• 05/2008 - 08/2008 (expected), research intern at AT&T Shannon Labs (mentored by Jason D. Williams)
• 05/2007 - 08/2007, research intern at Yahoo! Research NYC (mentored by John Langford)
• 05/2006 - 08/2006, engineer intern at Google NYC (mentored by Lee Laroco)
• 01/2005 - present, graduate research assistant at the Rutgers University
• 09/2002 - 07/2004, teaching/research assistant at the University of Alberta

• In Fall 2007, I helped organize a light seminar on Planning in Learned Environments
• In Summer 2005, I organized a seminar on Abstraction and Hierarchies for Learning and Planning
• From Fall 2002 to Winter 2004, I was a teaching assistant for discrete mathematics courses (Formal Systems and Logic in Computer Science), and won the University of Alberta UTS Teaching Award in 2004