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Clement Gehring
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2020 – today
- 2024
- [c9]Mahan Fathi, Clement Gehring, Jonathan Pilault, David Kanaa, Pierre-Luc Bacon, Ross Goroshin:
Course Correcting Koopman Representations. ICLR 2024 - [c8]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 - [i6]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 abs/2401.08898 (2024) - [i5]Michel Ma, Tianwei Ni, Clement Gehring, Pierluca D'Oro, Pierre-Luc Bacon:
Do Transformer World Models Give Better Policy Gradients? CoRR abs/2402.05290 (2024) - 2023
- [i4]Mahan Fathi, Clement Gehring, Jonathan Pilault, David Kanaa, Pierre-Luc Bacon, Ross Goroshin:
Course Correcting Koopman Representations. CoRR abs/2310.15386 (2023) - 2022
- [c7]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: 588-596 - 2021
- [c6]Jing Yu, Clement Gehring, Florian Schäfer
, Animashree Anandkumar:
Robust Reinforcement Learning: A Constrained Game-theoretic Approach. L4DC 2021: 1242-1254 - [c5]Clement Gehring, Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling:
Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization. NeurIPS 2021: 703-714 - [i3]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 abs/2109.14830 (2021)
2010 – 2019
- 2018
- [c4]Zi Wang, Clement Gehring, Pushmeet Kohli, Stefanie Jegelka:
Batched Large-scale Bayesian Optimization in High-dimensional Spaces. AISTATS 2018: 745-754 - [c3]Clement Gehring, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Adaptable replanning with compressed linear action models for learning from demonstrations. CoRL 2018: 432-442 - 2017
- [i2]Zi Wang, Clement Gehring, Pushmeet Kohli, Stefanie Jegelka:
Batched Large-scale Bayesian Optimization in High-dimensional Spaces. CoRR abs/1706.01445 (2017) - 2016
- [c2]Clement Gehring, Yangchen Pan, Martha White:
Incremental Truncated LSTD. IJCAI 2016: 1505-1511 - 2015
- [i1]Clement Gehring, Martha White:
Incremental Truncated LSTD. CoRR abs/1511.08495 (2015) - 2013
- [c1]Clement Gehring, Doina Precup:
Smart exploration in reinforcement learning using absolute temporal difference errors. AAMAS 2013: 1037-1044
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last updated on 2024-08-08 19:19 CEST by the dblp team
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