All Publications

Conference Papers (Published and In Submission)

• (In Preparation) Modeling Bounded Rationality in Multi-Agent Simulations with Rationally Inattentive Reinforcement Learning
  Link to Code
  Tong Mu, Stephan Zheng, Alexander Trott

• Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning
  Link to Code
  Tong Mu, Georgios Theocharous, David Arbour, Emma Brunskill
  AAAI 2022

• Automatic Adaptive Sequencing in a Foreign Language Game
  Tong Mu, Shuhan Wang, Erik Andersen, Emma Brunskill
  ITS 2021, Best Short Paper Award

• Towards Suggesting Actionable Interventions for Wheel Spinning Students
  Tong Mu, Andrea Jetten, Emma Brunskill
  EDM 2020 (Educational Data Mining)
  There is also an article from Stanford HAI about this.

• PLOTS: Procedure Learning from Observations using subTask Structure
  Tong Mu, Karan Goel, Emma Brunskill
  AAMAS 2019

• Combining Adaptivity with Progression Ordering for Intelligent Tutoring Systems
  Tong Mu, Shuhan Wang, Erik Andersen, Emma Brunskill
  LAS 2018 (Learning at Scale)

Journal Papers

• Allocating Redundancy Between Erasure Coding and Channel Coding When Fading Channel Diversity Grows with Codeword Length.
  Sudarsan Ranganathan, Tong Mu, Richard Wesel
  IEEE Transactions on Communications 2017

Workshop, Posters, and Demonstrations

• Constraint Sampling Reinforcement Learning
  Tong Mu, Georgions Theocharous, David Arbour
  The Challenges of Real World Reinforcement Learning Workshop, Neurips 2021.

• Automatic Curriculum Generation Applied to Teaching Novices a Short Bach Piano Segment
  Emma Brunskill, Tong Mu, Karan Goel, Jonathan Bragg
  NeurIPS 2018 Demonstration

• Shared Autonomy for Interactive Systems
  Sharon Zhou, Tong Mu, Karan Goel, Michael Bernstein, Emma Brunskill
  UIST 2018 Poster

• Program2Tutor: Combining Automatic Curriculum Generation with Multi-Armed Bandits for Intelligent Tutoring Systems
  Tong Mu, Karan Goel, Emma Brunskill
  Teaching Machines, Robots, and Humans NIPS workshop, 2017