Clement Gehring

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 13

Top Topics

Deterministic Domains

Reinforcement Learning

Top Venues

Publications

Michel Ma, Tianwei Ni, Clement Gehring, Pierluca D'Oro, Pierre-Luc Bacon
Do Transformer World Models Give Better Policy Gradients? CoRR (2024)
Mahan Fathi, Clement Gehring, Jonathan Pilault, David Kanaa, Pierre-Luc Bacon, Ross Goroshin
Course Correcting Koopman Representations. ICLR (2024)
Tianwei Ni, Benjamin Eysenbach, Erfan Seyedsalehi, Michel Ma, Clement Gehring, Aditya Mahajan, Pierre-Luc Bacon
Bridging State and History Representations: Understanding Self-Predictive RL. ICLR (2024)
Tianwei Ni, Benjamin Eysenbach, Erfan Seyedsalehi, Michel Ma, Clement Gehring, Aditya Mahajan, Pierre-Luc Bacon
Bridging State and History Representations: Understanding Self-Predictive RL. CoRR (2024)
Mahan Fathi, Clement Gehring, Jonathan Pilault, David Kanaa, Pierre-Luc Bacon, Ross Goroshin
Course Correcting Koopman Representations. CoRR (2023)
Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. ICAPS (2022)
Jing Yu, Clement Gehring, Florian Schäfer, Animashree Anandkumar
Robust Reinforcement Learning: A Constrained Game-theoretic Approach. L4DC (2021)
Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. CoRR (2021)
Clement Gehring, Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling
Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization. NeurIPS (2021)
Zi Wang, Clement Gehring, Pushmeet Kohli, Stefanie Jegelka
Batched Large-scale Bayesian Optimization in High-dimensional Spaces. AISTATS (2018)
Clement Gehring, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Adaptable replanning with compressed linear action models for learning from demonstrations. CoRL (2018)
Zi Wang, Clement Gehring, Pushmeet Kohli, Stefanie Jegelka
Batched Large-scale Bayesian Optimization in High-dimensional Spaces. CoRR (2017)
Clement Gehring, Yangchen Pan, Martha White
Incremental Truncated LSTD. IJCAI (2016)
Clement Gehring, Martha White
Incremental Truncated LSTD. CoRR (2015)
Clement Gehring, Doina Precup
Smart exploration in reinforcement learning using absolute temporal difference errors. AAMAS (2013)