Martin J. Chadwick

According to our database, Martin J. Chadwick authored at least 11 papers between 2014 and 2025.

Collaborative distances:

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

2025

Modeling human reputation-seeking behavior in a spatio-temporally complex public good provision game.

Edward Hughes, Tina O. Zhu, Martin J. Chadwick, Raphael Koster, Antonio García Castañeda, Charles Beattie, Thore Graepel, Matthew M. Botvinick, Joel Z. Leibo

CoRR, June, 2025

Increasing happiness through conversations with artificial intelligence.

Joseph Heffner, Chongyu Qin, Martin J. Chadwick, Chris Knutsen, Christopher Summerfield, Zeb Kurth-Nelson, Robb B. Rutledge

CoRR, April, 2025

2022

Improving alignment of dialogue agents via targeted human judgements.

Amelia Glaese, Nat McAleese, Maja Trebacz, John Aslanides, Vlad Firoiu, Timo Ewalds, Maribeth Rauh, Laura Weidinger, Martin J. Chadwick, Phoebe Thacker, Lucy Campbell-Gillingham, Jonathan Uesato, Po-Sen Huang, Ramona Comanescu, Fan Yang, Abigail See, Sumanth Dathathri, Rory Greig, Charlie Chen, Doug Fritz, Jaume Sanchez Elias, Richard Green, Sona Mokrá, Nicholas Fernando, Boxi Wu, Rachel Foley, Susannah Young, Iason Gabriel, William Isaac, John Mellor, Demis Hassabis, Koray Kavukcuoglu, Lisa Anne Hendricks, Geoffrey Irving

CoRR, 2022

Teaching language models to support answers with verified quotes.

Jacob Menick, Maja Trebacz, Vladimir Mikulik, John Aslanides, H. Francis Song, Martin J. Chadwick, Mia Glaese, Susannah Young, Lucy Campbell-Gillingham, Geoffrey Irving, Nat McAleese

CoRR, 2022

Fine-tuning language models to find agreement among humans with diverse preferences.

Michiel A. Bakker, Martin J. Chadwick, Hannah Sheahan, Michael Henry Tessler, Lucy Campbell-Gillingham, Jan Balaguer, Nat McAleese, Amelia Glaese, John Aslanides, Matt M. Botvinick, Christopher Summerfield

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Role of Human-AI Interaction in Selective Prediction.

Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Deep reinforcement learning models the emergent dynamics of human cooperation.

Kevin R. McKee, Edward Hughes, Tina O. Zhu, Martin J. Chadwick, Raphael Koster, Antonio García Castañeda, Charlie Beattie, Thore Graepel, Matthew M. Botvinick, Joel Z. Leibo

CoRR, 2021

2020

MEMO: A Deep Network for Flexible Combination of Episodic Memories.

Andrea Banino, Adrià Puigdomènech Badia, Raphael Köster, Martin J. Chadwick, Vinícius Flores Zambaldi, Demis Hassabis, Caswell Barry, Matthew M. Botvinick, Dharshan Kumaran, Charles Blundell

Proceedings of the 8th International Conference on Learning Representations, 2020

2018

Vector-based navigation using grid-like representations in artificial agents.

Andrea Banino, Caswell Barry, Benigno Uria, Charles Blundell, Timothy P. Lillicrap, Piotr Mirowski, Alexander Pritzel, Martin J. Chadwick, Thomas Degris, Joseph Modayil, Greg Wayne, Hubert Soyer, Fabio Viola, Brian Zhang, Ross Goroshin, Neil C. Rabinowitz, Razvan Pascanu, Charlie Beattie, Stig Petersen, Amir Sadik, Stephen Gaffney, Helen King, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Dharshan Kumaran

Nat., 2018

2016

Sexual Dimorphism in White Matter Developmental Trajectories Using Tract-Based Spatial Statistics.

Kiran K. Seunarine, Jonathan D. Clayden, Sebastian Jentschke, Mónica Muñoz, Janine M. Cooper, Martin J. Chadwick, Tina Banks, Faraneh Vargha-Khadem, Christopher A. Clark

Brain Connect., 2016

2014

Sparse encoding of automatic visual association in hippocampal networks.

Oliver J. Hulme, Martin Skov, Martin J. Chadwick, Hartwig R. Siebner, Thomas Z. Ramsøy

NeuroImage, 2014