Clement Gehring

According to our database, Clement Gehring authored at least 13 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Functional Risk Minimization.

Ferran Alet, Clement Gehring, Tomás Lozano-Pérez, Kenji Kawaguchi, Joshua B. Tenenbaum, Leslie Pack Kaelbling

CoRR, 2024

Do Transformer World Models Give Better Policy Gradients?

Michel Ma, Tianwei Ni, Clement Gehring, Pierluca D'Oro, Pierre-Luc Bacon

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Bridging State and History Representations: Understanding Self-Predictive RL.

Tianwei Ni, Benjamin Eysenbach, Erfan Seyedsalehi, Michel Ma, Clement Gehring, Aditya Mahajan, Pierre-Luc Bacon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Course Correcting Koopman Representations.

Mahan Fathi, Clement Gehring, Jonathan Pilault, David Kanaa, Pierre-Luc Bacon, Ross Goroshin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Efficient reinforcement learning via singular value decomposition, end-to-end model-based methods and reward shaping

Clement Gehring

PhD thesis, 2022

Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators.

Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021

Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization.

Clement Gehring, Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust Reinforcement Learning: A Constrained Game-theoretic Approach.

Jing Yu, Clement Gehring, Florian Schäfer, Animashree Anandkumar

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

2018

Adaptable replanning with compressed linear action models for learning from demonstrations.

Clement Gehring, Leslie Pack Kaelbling, Tomás Lozano-Pérez

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Batched Large-scale Bayesian Optimization in High-dimensional Spaces.

Zi Wang, Clement Gehring, Pushmeet Kohli, Stefanie Jegelka

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2016

Incremental Truncated LSTD.

Clement Gehring, Yangchen Pan, Martha White

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Incremental Truncated LSTD.

Clement Gehring, Martha White

CoRR, 2015

2013

Smart exploration in reinforcement learning using absolute temporal difference errors.

Clement Gehring, Doina Precup

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013