Clement Gehring

PhD Student
Learning and Intelligent Systems Group
MIT CSAIL
${lastname} at csail.mit.edu


Teaching

I am currently TA for "Intro to Machine Learning", 6.036. Due to the size of the class, please use piazza for any questions or issues. My email should be reserved for emergencies or sensitive/personal issues.

Research

I am a PhD student in the Learning and Intelligent Systems Group in MIT CSAIL with Professors Tomas Lozano-Perez and Leslie Pack Kaelbling.

Conference Publications

  • Zi Wang, Clement Gehring, Pushmeet Kohli, Stefanie Jegelka. Batched Large-scale Bayesian Optimization in High-dimensional Spaces. Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS). 2018.
  • Clement Gehring, Yangchen Pan, Martha White. Incremental Truncated LSTD. Proceedings of the 2016 International Joint Conference on Artificial Intelligence (IJCAI). 2016. [paper] [code]
  • Clement Gehring, Doina Precup. Smart exploration in reinforcement learning using absolute temporal difference errors. Proceedings of the 2013 international conference on Autonomous Agents and Multi-Agent Systems (AAMAS). International Foundation for Autonomous Agents and Multiagent Systems, 2013. [paper]

Archive Publications

  • Zi Wang, Clement Gehring, Pushmeet Kohli, Stefanie Jegelka. Ensemble Bayesian Optimization.arXiv:1706.01445. 2017. [paper]

Workshop Publications

  • Zi Wang, Clement Gehring, Pushmeet Kohli, Stefanie Jegelka. Batched Large-scale Bayesian Optimization in High-dimensional Spaces. NIPS Workshop on Bayesian Optimization (BAYESOPT). 2017. [paper]
  • Anwarissa Asbah*, André MS Barreto*, Clement Gehring*, Joelle Pineau, and Doina Precup. Reinforcement Learning Competition: Helicopter Hovering with Controllability and Kernel-Based Stochastic Factorization. In Proceedings of International Conference on Machine Learning (ICML), Reinforcement Learning Competition Workshop. 2013. [paper]

Extended Abstract

  • Clement Gehring. Approximate Linear Successor Representation. The multi-disciplinary conference on Reinforcement Learning and Decision Making (RLDM). 2015. [paper]

Other Publications

  • Caelan R. Garrett*, Clement Gehring*, Gustavo Goretkin*, Zelda Mariet*, Zi Wang*. Motion Planning using Naturally Annoying Grammars (NAGs), SIGTBD, 2016. [paper]