Charlie Griffin

According to our database, Charlie Griffin authored at least 6 papers between 2021 and 2024.

Collaborative distances:

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

2024

Games for AI Control: Models of Safety Evaluations of AI Deployment Protocols.

Charlie Griffin, Louis Thomson, Buck Shlegeris, Alessandro Abate

CoRR, 2024

On the Expressivity of Objective-Specification Formalisms in Reinforcement Learning.

Rohan Subramani, Marcus Williams, Max Heitmann, Halfdan Holm, Charlie Griffin, Joar Max Viktor Skalse

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Goodhart's Law in Reinforcement Learning.

Jacek Karwowski, Oliver Hayman, Xingjian Bai, Klaus Kiendlhofer, Charlie Griffin, Joar Max Viktor Skalse

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Reinforcement Learning Fine-tuning of Language Models is Biased Towards More Extractable Features.

Diogo Cruz, Edoardo Pona, Alex Holness-Tofts, Elias Schmied, Víctor Abia Alonso, Charlie Griffin, Bogdan-Ionut Cirstea

CoRR, 2023

2022

Lexicographic Multi-Objective Reinforcement Learning.

Joar Skalse, Lewis Hammond, Charlie Griffin, Alessandro Abate

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Privacy-preserving Object Detection.

Peiyang He, Charlie Griffin, Krzysztof Kacprzyk, Artjom Joosen, Michael Collyer, Aleksandar Shtedritski, Yuki Markus Asano

CoRR, 2021