Jonathan Richens

According to our database, Jonathan Richens authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

The Limits of Predicting Agents from Behaviour.

Alexis Bellot, Jonathan Richens, Tom Everitt

CoRR, June, 2025

General agents need world models.

Jonathan Richens, David Abel, Alexis Bellot, Tom Everitt

CoRR, June, 2025

Plasticity as the Mirror of Empowerment.

David Abel, Michael Bowling, André Barreto, Will Dabney, Shi Dong, Steven Hansen, Anna Harutyunyan, Khimya Khetarpal, Clare Lyle, Razvan Pascanu, Georgios Piliouras, Doina Precup, Jonathan Richens, Mark Rowland, Tom Schaul, Satinder Singh

CoRR, May, 2025

Evaluating the Goal-Directedness of Large Language Models.

Tom Everitt, Cristina Garbacea, Alexis Bellot, Jonathan Richens, Henry Papadatos, Siméon Campos, Rohin Shah

CoRR, April, 2025

Agency Is Frame-Dependent.

David Abel, André Barreto, Michael Bowling, Will Dabney, Shi Dong, Steven Hansen, Anna Harutyunyan, Khimya Khetarpal, Clare Lyle, Razvan Pascanu, Georgios Piliouras, Doina Precup, Jonathan Richens, Mark Rowland, Tom Schaul, Satinder Singh

CoRR, February, 2025

2024

Robust agents learn causal world models.

Jonathan Richens, Tom Everitt

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Discovering Agents (Abstract Reprint).

Zachary Kenton, Ramana Kumar, Sebastian Farquhar, Jonathan Richens, Matt MacDermott, Tom Everitt

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Discovering agents.

Zachary Kenton, Ramana Kumar, Sebastian Farquhar, Jonathan Richens, Matt MacDermott, Tom Everitt

Artif. Intell., September, 2023