Richard Everett
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Collaborating with humans without human data
DJ Strouse, K McKee, M Botvinick, E Hughes, R Everett
Advances in Neural Information Processing Systems 34, 14502-14515, 2021
The anatomy of online deception: What makes automated text convincing?
RM Everett, JRC Nurse, A Erola
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 1115-1120, 2016
Learning to play no-press diplomacy with best response policy iteration
T Anthony, T Eccles, A Tacchetti, J Kramár, I Gemp, T Hudson, N Porcel, ...
Advances in Neural Information Processing Systems 33, 17987-18003, 2020
Bounds and dynamics for empirical game theoretic analysis
K Tuyls, J Perolat, M Lanctot, E Hughes, R Everett, JZ Leibo, ...
Autonomous Agents and Multi-Agent Systems 34, 1-30, 2020
Spurious normativity enhances learning of compliance and enforcement behavior in artificial agents
R Köster, D Hadfield-Menell, R Everett, L Weidinger, GK Hadfield, ...
Proceedings of the National Academy of Sciences 119 (3), e2106028118, 2022
Negotiating team formation using deep reinforcement learning
Y Bachrach, R Everett, E Hughes, A Lazaridou, JZ Leibo, M Lanctot, ...
Artificial Intelligence 288, 103356, 2020
Quantifying the effects of environment and population diversity in multi-agent reinforcement learning
KR McKee, JZ Leibo, C Beattie, R Everett
Autonomous Agents and Multi-Agent Systems 36 (1), 21, 2022
D3C: Reducing the Price of Anarchy in Multi-Agent Learning
I Gemp, KR McKee, R Everett, EA Duéñez-Guzmán, Y Bachrach, ...
arXiv preprint arXiv:2010.00575, 2020
Uncovering surprising behaviors in reinforcement learning via worst-case analysis
A Ruderman, R Everett, B Sikder, H Soyer, J Uesato, A Kumar, C Beattie, ...
Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent
I Gemp, R Savani, M Lanctot, Y Bachrach, T Anthony, R Everett, ...
arXiv preprint arXiv:2106.01285, 2021
Using the Veil of Ignorance to align AI systems with principles of justice
L Weidinger, KR McKee, R Everett, S Huang, TO Zhu, MJ Chadwick, ...
Proceedings of the National Academy of Sciences 120 (18), e2213709120, 2023
Optimising Worlds to Evaluate and Influence Reinforcement Learning Agents.
R Everett, AD Cobb, A Markham, SJ Roberts
AAMAS, 1943-1945, 2019
Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria
K Kopparapu, EA Duéñez-Guzmán, J Matyas, AS Vezhnevets, ...
arXiv preprint arXiv:2201.01816, 2022
Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus
AD Cobb, R Everett, A Markham, SJ Roberts
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Inferring agent objectives at different scales of a complex adaptive system
D Hendricks, A Cobb, R Everett, J Downing, SJ Roberts
arXiv preprint arXiv:1712.01137, 2017
Scaffolding cooperation in human groups with deep reinforcement learning
KR McKee, A Tacchetti, MA Bakker, J Balaguer, L Campbell-Gillingham, ...
Nature Human Behaviour, 1-10, 2023
Learning Robust Real-Time Cultural Transmission without Human Data
CGI Team, A Bhoopchand, B Brownfield, A Collister, AD Lago, A Edwards, ...
arXiv preprint arXiv:2203.00715, 2022
Developing, evaluating and scaling learning agents in multi-agent environments
I Gemp, T Anthony, Y Bachrach, A Bhoopchand, K Bullard, J Connor, ...
AI Communications, 1-14, 2022
Modelling Cooperation in Network Games with Spatio-Temporal Complexity
MA Bakker, R Everett, L Weidinger, I Gabriel, WS Isaac, JZ Leibo, ...
arXiv preprint arXiv:2102.06911, 2021
Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas
U Madhushani, KR McKee, JP Agapiou, JZ Leibo, R Everett, T Anthony, ...
arXiv preprint arXiv:2305.00768, 2023
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