Clement Gehring

PhD Student
Learning and Intelligent Systems Group
32-330, CSAIL, MIT
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I am a PhD student in the Learning and Intelligent Systems Group in MIT CSAIL with Professors Tomas Lozano-Perez and Leslie Pack Kaelbling.


  • Clement Gehring, Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling. Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization. NeurIPS, 2021. [paper]
  • Clement Gehring*, Masataro Asai*, Rohan Chitnis, Tom Silver, Leslie Kaelbling, Shirin Sohrabi and Michael Katz. Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. Planning and Reinforcement Learning Workshop, ICAPS, 2021. [paper]
  • Jing Yu, Clement Gehring, Florian Schäfer, Animashree Anandkumar. Robust Reinforcement Learning: A Constrained Game-theoretic Approach. Learning for Dynamics and Control, pp. 1242-1254, PMLR. 2021. [paper]
  • Pierre-Luc Bacon, Florian Schäfer, Clement Gehring, Animashree Anandkumar, Emma Brunskill. A Lagrangian Method for Inverse Problems in Reinforcement Learning. Optimization Foundations for Reinforcement Learning Workshop, NeurIPS. 2019. [paper][code]
  • Peter M. Gehring, Zhijun Xu, C. Stock, Guangyong Xu, D. Parshall, L. Harriger, Clement Gehring, Xiaobing Li, and Haosu Luo. Comment on "Giant electromechanical coupling of relaxor ferroelectrics controlled by polar nanoregion vibrations". Science advances 5.3 (2019): eaar5066. [link]
  • Clement Gehring, Leslie Pack Kaelbling, Tomas Lozano-Perez. Adaptable replanning with compressed linear action models for learning from demonstrations. Proceedings of the Conference on Robot Learning (CoRL). 2018. [paper][code][video]
  • 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.
  • 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]
  • 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. Approximate Linear Successor Representation. The multi-disciplinary conference on Reinforcement Learning and Decision Making (RLDM). 2015. [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]
  • 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]


  • fax: a python library for optimizing fixed-points using JAX.