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Edward Hughes · SciRah

Researcher profile · Semantic Scholar

Edward Hughes

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Edward Hughes — researcher profile on SciRah

h-index: 24
Works: 40
Citations: 3,918

Most-cited papers

Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning
Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre +4 more
2018International Conference on Machine Learning579 citations
Semantic Scholar
The Hanabi Challenge: A New Frontier for AI Research
Nolan Bard, Jakob N. Foerster, A. P. Sarath Chandar, Neil Burch +11 more
2019Artificial Intelligence456 citations Open access
Semantic Scholar
OpenSpiel: A Framework for Reinforcement Learning in Games
Marc Lanctot, Edward Lockhart, Jean-Baptiste Lespiau, V. Zambaldi +23 more
2019arXiv.org350 citations
Semantic Scholar
Open Problems in Cooperative AI
Allan Dafoe, Edward Hughes, Yoram Bachrach, Tantum Collins +4 more
2020arXiv.org298 citations
Semantic Scholar
Inequity aversion improves cooperation in intertemporal social dilemmas
Edward Hughes, J. Leibo, Matthew Phillips, K. Tuyls +8 more
2018Neural Information Processing Systems287 citations
Semantic Scholar
Collaborating with Humans without Human Data
DJ Strouse, Kevin R. McKee, M. Botvinick, Edward Hughes +1 more
2021Neural Information Processing Systems246 citations
Semantic Scholar
Human-Timescale Adaptation in an Open-Ended Task Space
A. Team, Jakob Bauer, Kate Baumli, Satinder Baveja +24 more
2023International Conference on Machine Learning180 citations Open access
Semantic Scholar
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster, H. F. Song, Edward Hughes, Neil Burch +4 more
2018International Conference on Machine Learning175 citations
Semantic Scholar
Learning to Understand Goal Specifications by Modelling Reward
D. Bahdanau, F. Hill, Jan Leike, Edward Hughes +3 more
2018International Conference on Learning Representations172 citations
Semantic Scholar
Causal Reasoning from Meta-reinforcement Learning
Ishita Dasgupta, Jane X. Wang, S. Chiappa, Jovana Mitrovic +6 more
2019arXiv.org140 citations
Semantic Scholar
Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research
J. Leibo, Edward Hughes, Marc Lanctot, T. Graepel
2019arXiv.org125 citations
Semantic Scholar
A Generalized Training Approach for Multiagent Learning
Paul Muller, Shayegan Omidshafiei, Mark Rowland, K. Tuyls +11 more
2019International Conference on Learning Representations118 citations
Semantic Scholar
Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning
Kevin R. McKee, I. Gemp, B. McWilliams, Edgar A. Duéñez-Guzmán +2 more
2020Adaptive Agents and Multi-Agent Systems108 citations Open access
Semantic Scholar
Learning to Incentivize Other Learning Agents
Jiachen Yang, Ang Li, Mehrdad Farajtabar, P. Sunehag +2 more
2020Neural Information Processing Systems106 citations
Semantic Scholar
Evolving intrinsic motivations for altruistic behavior
Jane X. Wang, Edward Hughes, Chrisantha Fernando, W. Czarnecki +2 more
2018Adaptive Agents and Multi-Agent Systems84 citations Open access
Semantic Scholar
Learning Reciprocity in Complex Sequential Social Dilemmas
Tom Eccles, Edward Hughes, János Kramár, S. Wheelwright +1 more
2019arXiv.org58 citations
Semantic Scholar
Intrinsic Social Motivation via Causal Influence in Multi-Agent RL
Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre +4 more
2018arXiv.org58 citations
Semantic Scholar
Negotiating team formation using deep reinforcement learning
Yoram Bachrach, Richard Everett, Edward Hughes, Angeliki Lazaridou +5 more
2020Artificial Intelligence47 citations Open access
Semantic Scholar
Malthusian Reinforcement Learning
J. Leibo, J. Pérolat, Edward Hughes, S. Wheelwright +5 more
2018Adaptive Agents and Multi-Agent Systems43 citations Open access
Semantic Scholar
Bounds and dynamics for empirical game theoretic analysis
K. Tuyls, J. Pérolat, Marc Lanctot, Edward Hughes +4 more
2019Autonomous Agents and Multi-Agent Systems41 citations Open access
Semantic Scholar
Learning to Follow Language Instructions with Adversarial Reward Induction
D. Bahdanau, F. Hill, Jan Leike, Edward Hughes +2 more
2018arXiv.org33 citations
Semantic Scholar
Neural Recursive Belief States in Multi-Agent Reinforcement Learning
Pol Moreno, Edward Hughes, Kevin R. McKee, B. '. Pires +1 more
2021arXiv.org31 citations
Semantic Scholar
Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning
Michael Bradley Johanson, Edward Hughes, Finbarr Timbers, J. Leibo
2022arXiv.org27 citations
Semantic Scholar
Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences
R. Koster, Kevin R. McKee, Richard Everett, Laura Weidinger +6 more
2020arXiv.org26 citations
Semantic Scholar
Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games
Edward Hughes, Thomas W. Anthony, Tom Eccles, J. Leibo +2 more
2020Adaptive Agents and Multi-Agent Systems23 citations Open access
Semantic Scholar
Reinforcement Learning Agents acquire Flocking and Symbiotic Behaviour in Simulated Ecosystems
P. Sunehag, Guy Lever, Siqi Liu, J. Merel +5 more
2019Artificial Life Conference Proceedings22 citations
Semantic Scholar
Inequity aversion resolves intertemporal social dilemmas
Edward Hughes, J. Leibo, Matthew Philips, K. Tuyls +8 more
2018arXiv.org20 citations
Semantic Scholar
Smooth markets: A basic mechanism for organizing gradient-based learners
David Balduzzi, W. Czarnecki, Thomas W. Anthony, I. Gemp +4 more
2020International Conference on Learning Representations15 citations
Semantic Scholar
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning
Jonathan Cook, Chris Lu, Edward Hughes, J. Leibo +1 more
2024Neural Information Processing Systems14 citations
Semantic Scholar
Deep reinforcement learning models the emergent dynamics of human cooperation
Kevin R. McKee, Edward Hughes, Tina Zhu, M. Chadwick +6 more
2021arXiv.org13 citations
Semantic Scholar
Learning Robust Real-Time Cultural Transmission without Human Data
Avishkar Bhoopchand, Bethanie Brownfield, Adrian Collister, Agustin Dal Lago +14 more
2022arXiv.org12 citations Open access
Semantic Scholar
A multi-agent reinforcement learning model of reputation and cooperation in human groups
Kevin R. McKee, Edward Hughes, Tina Zhu, M. Chadwick +6 more
202110 citations
Semantic Scholar
The Imitation Game: Learned Reciprocity in Markov games
Tom Eccles, Edward Hughes, János Kramár, S. Wheelwright +1 more
2019Adaptive Agents and Multi-Agent Systems8 citations
Semantic Scholar
Modelling Cooperation in Network Games with Spatio-Temporal Complexity
Michiel A. Bakker, Richard Everett, Laura Weidinger, Iason Gabriel +3 more
2021Adaptive Agents and Multi-Agent Systems5 citations
Semantic Scholar
Modeling human reputation-seeking behavior in a spatio-temporally complex public good provision game
Edward Hughes, Tina Zhu, Martin J. Chadwick, Raphael Koster +5 more
2025arXiv.org4 citations
Semantic Scholar
Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas
Udari Madhushani, Kevin R. McKee, J. Agapiou, J. Leibo +5 more
2023arXiv.org4 citations Open access
Semantic Scholar
Developing, evaluating and scaling learning agents in multi-agent environments
I. Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand +23 more
2022AI Communications4 citations Open access
Semantic Scholar
Jointly Learning "What" and "How" from Instructions and Goal-States
D. Bahdanau, F. Hill, Jan Leike, Edward Hughes +2 more
2018International Conference on Learning Representations3 citations
Semantic Scholar
Meta-reinforcement learning of causal strategies
Ishita Dasgupta, Z. Kurth-Nelson, S. Chiappa, Jovana Mitrovic +4 more
20192 citations
Semantic Scholar
Supplementary Material for ‘ Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning ’
Jakob N. Foerster, H. F. Song, Edward Hughes, Neil Burch +4 more
20190 citations
Semantic Scholar

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