Peide Huang

I am a second-year Ph.D. student advised by Prof. Ding Zhao @ SafeAI Lab and co-advised by Prof. Fei Fang @ AI and Social Good Lab at Carnegie Mellon University. My research interests lie at the intersection of reinforcement learning, multi-agent system and game theory.

Prior to joining CMU, I received my Bachelor's degree from Nanyang Technological University, Singapore and Master's degree from Stanford University.

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Research

I'm interested in reinforcement learning, machine learning, robotics, game theory and multi-agent system.

hpp Latent Goal Allocation for Multi-Agent Goal-Conditioned Self-Supervised Learning
Peide Huang*, Laixi Shi*, Rui Chen*
Preprint, under review
Paper
Abridged in NeurIPS 2021 Workshop in Bayesian Deep Learning. Workshop
hpp Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling
Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao
Preprint, under review
Paper / bibtex
Abridged in ICLR 2021 Workshop in Security and Safety in Machine Learning Systems. Workshop / Poster
*: Equal contribution
Teaching
hpp Head of Teaching Assistants, Linear Control Systems, Fall 2020

Head of Teaching Assistants, Modern Control: Theory and Design, Fall 2021

Side Fun Projects
  • Autonomous Vehicle Racing
  • The Remote-controlled Walking Robot: Eletric Beest
  • The Autonomous "Garbage" Collection Robot
  • Multi-agent System Coverage with Time-variant Density Function