Clement Gehring

18 papers A* 6A 2Misc 1Journal 7Unranked 1

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