Yiwei Bai  

Ph.D. Student
CS Department@Cornell University

Office: 305, Gates Hall, Cornell, Ithaca, NY 14853
Email: yb263 [at] cornell (dot) edu

GitHub  /  LinkedIn

Biography

Hi! I am a CS Ph.D. student at Cornell University, where I am supervised by professor Carla P. Gomes. My research interests lie in the intersection of reinforcement learning, decision making and computational sustainability. I resecived a B.Eng from ACM Honors Class, Zhiyuan College, Shanghai Jiao Tong University.

Education
Cornell University, USA
Ph.D. in Computer Science, Aug. 2018 to Present
Shanghai Jiao Tong University, China
Bachelor of Engineering, Sep. 2014 to Jun. 2018
Cornell University, USA
Research Intern, June. 2017 to Dec. 2017
Publication

Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Networks
Johan Bjorcks, Yiwei Bai, Yexiang Xue, Xiaojian Wu, Mark Whitemore, Carla P. Gomes In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018.

  • In this research, we solved an important problem in computational sustainability -- biological control of invasive species.

  • We proposed an approximation algorithm based on a width relaxation and randomized projections, which is quite scalable compared with previous work and can be used for realistic problem

  • We evaluated our algorithm in the context of biocontrol for the insect pest Hemlock Wolly Adelgid(HWA) in eastern North America.
  • An Empirical Study of Collective Behaviors in Many-agent Reinforcement Learning (Extended Abstract)
    Yiwei Bai*, Lantao Yu*, Yaodong Yang*, Jun Wang, Weinan Zhang, Ying Wen, Yong Yu In the Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018.

  • In this research, we designed and developed Million-level Multi-Agent Reinforcement Learning Platform. You could find the platform here.

  • We tried to understand AI population with multi-agent reinforcement learning and verify the principles developed in the real world could be applied to AI population.

  • Research Projects

    Yi, an AI platform playing the GO(game)
    Yiwei Bai, Lequn Chen, and colleagues in Tianrang, (advised by Professor Guirong Xue), Jan. 2017

  • Yi won the Four-th prize in the first International Computer Go Competition
  • Yi won the Ninth place in the 10th UEC Cup
  • I and colleagues trained and tuned the policy network and value network
  • I and colleagues designed and implemented the reinforcement learning framework of the value network incorporated with policy network