David Quarel

According to our database, David Quarel authored at least 4 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Interpreting Reinforcement Learning Agents with Susceptibilities.

Chris Elliott, Einar Urdshals, David Quarel, Daniel Murfet

CoRR, May, 2026

Stagewise Reinforcement Learning and the Geometry of the Regret Landscape.

Chris Elliott, Einar Urdshals, David Quarel, Matthew Farrugia-Roberts, Daniel Murfet

CoRR, January, 2026

2025

SCALAR: Benchmarking SAE Interaction Sparsity in Toy LLMs.

Sean P. Fillingham, Andrew Gordon, Peter Lai, Xavier Poncini, David Quarel, Stefan Heimersheim

CoRR, November, 2025

2023

Universal Agent Mixtures and the Geometry of Intelligence.

Samuel Allen Alexander, David Quarel, Len Du, Marcus Hutter

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023