Fetching the paper…
Reading the bibliography…
Cooperation is challenging in biological systems, human societies, and multi-agent systems in general.
The Logic of Collective Action: Public Goods and the Theory of Groups
Mancur Olson. 1965 · 1965
Earlier work this paper cites.
The Tragedy of the Commons
Garrett Hardin. 1968 · 1968
Earlier work this paper cites.
Social Dilemmas
Robyn M Dawes. 1980 · 1980
Earlier work this paper cites.
The evolution of cooperation
R Axelrod and W D Hamilton. 1981 · 1981
Earlier work this paper cites.
Social Networks and Collective Action: A Theory of the Critical Mass. III
Gerald Marwell, Pamela E Oliver, and Ralph Prahl. 1988 · 1988
Earlier work this paper cites.
Cooperation in a repeated prisoners dilemma with ostracism
David Hirshleifer and Eric Rasmusen. 1989 · 1989
Earlier work this paper cites.
A strategy of win-stay, lose-shift that outperforms tit-for-tat in the Prisoner’s Dilemma game
M Nowak and K Sigmund. 1993 · 1993
Earlier work this paper cites.
The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems. In Proceedings of the Fifteenth National/Tenth Conference on Artificial Intelligence/Innovative Applications of Artificial Intelligence (Madison, Wisconsin, USA) (AAAI ’98/IAAI ’98) . American Association for Artificial Intelligence, USA, 746–752
Caroline Claus and Craig Boutilier. 1998 · 1998
Earlier work this paper cites.
Collective Action and the Evolution of Social Norms
Elinor Ostrom. 2000 · 2000
Earlier work this paper cites.
In Search of Homo Economicus: Behavioral Experiments in 15 Small-Scale Societies
Joseph Henrich, R Boyd, Samuel Bowles, Colin Camerer, Ernst Fehr, Herbert Gintis, and Richard McElreath. 2001 · 2001
Earlier work this paper cites.
Reinforcement Learning of Coordination in Cooperative Multi-Agent Systems. In Eighteenth National Conference on Artificial Intelligence (Edmonton, Alberta, Canada). American Association for Artificial Intelligence, USA, 326–331
Spiros Kapetanakis and Daniel Kudenko. 2002 · 2002
Earlier work this paper cites.
Evolutionary game theory and multi-agent reinforcement learning
Karl Tuyls and Ann Nowé. 2005 · 2005
Earlier work this paper cites.
Learning to cooperate in multi-agent social dilemmas. In Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (Hakodate, Japan) (AAMAS ’06) . Association for Computing Machinery, New York, NY, USA, 783–785
Enrique Munoz de Cote, Alessandro Lazaric, and Marcello Restelli. 2006 · 2006
Earlier work this paper cites.
Evolutionary Dynamics
Martin A Nowak. 2006 · 2006
Earlier work this paper cites.
A simple rule for the evolution of cooperation on graphs and social networks
Hisashi Ohtsuki, Christoph Hauert, Erez Lieberman, and Martin A Nowak. 2006 · 2006
Earlier work this paper cites.
Reputation-based partner choice promotes cooperation in social networks
Feng Fu, Christoph Hauert, Martin A Nowak, and Long Wang. 2008 · 2008
Earlier work this paper cites.
The coevolution of choosiness and cooperation
John M McNamara, Zoltan Barta, Lutz Fromhage, and Alasdair I Houston. 2008 · 2008
Cited alongside, same era.
Social diversity promotes the emergence of cooperation in public goods games
Francisco C Santos, Marta D Santos, and Jorge M Pacheco. 2008 · 2008
Cited alongside, same era.
Coevolutionary games—A mini review
Matjaž Perc and Attila Szolnoki. 2010 · 2010
Cited alongside, same era.
Co-evolution of behaviour and social network structure promotes human cooperation
Katrin Fehl, Daniel J van der Post, and Dirk Semmann. 2011 · 2011
Cited alongside, same era.
Coordination and cooperation in asymmetric commons dilemmas
Marco A Janssen, John M Anderies, and Sanket R Joshi. 2011 · 2011
Cited alongside, same era.
Dynamic social networks promote cooperation in experiments with humans
David G Rand, Samuel Arbesman, and Nicholas A Christakis. 2011 · 2011
Resilient cooperators stabilize long-run cooperation in the finitely repeated Prisoner’s Dilemma
Andrew Mao, Lili Dworkin, Siddharth Suri, and Duncan J Watts. 2017 · 2017
Later among the works it cites.
Deep decentralized multi-task multi-agent reinforcement learning under partial observability. In International Conference on Machine Learning . PMLR, 2681–2690
Shayegan Omidshafiei, Jason Pazis, Christopher Amato, Jonathan P How, and John Vian. 2017 · 2017
Later among the works it cites.
Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov. 2017 · 2017
Later among the works it cites.
Collapse and rescue of cooperation in evolving dynamic networks
Erol Akçay. 2018 · 2018
Later among the works it cites.
Emergent communication through negotiation
Kris Cao, Angeliki Lazaridou, Marc Lanctot, Joel Z Leibo, Karl Tuyls, and Stephen Clark. 2018 · 2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Evolution of cooperation driven by zealots
Naoki Masuda. 2012 · 2012
Cited alongside, same era.
Evolution of extortion in Iterated Prisoner’s Dilemma games
Christian Hilbe, Martin A Nowak, and Karl Sigmund. 2013 · 2013
Cited alongside, same era.
Human cooperation
David G Rand and Martin A Nowak. 2013 · 2013
Cited alongside, same era.
Quality versus quantity of social ties in experimental cooperative networks
Hirokazu Shirado, Feng Fu, James H Fowler, and Nicholas A Christakis. 2013 · 2013
Cited alongside, same era.
Gossip and Ostracism Promote Cooperation in Groups
Matthew Feinberg, Robb Willer, and Michael Schultz. 2014 · 2014
Cited alongside, same era.
Inequality and visibility of wealth in experimental social networks
Akihiro Nishi, Hirokazu Shirado, David G Rand, and Nicholas A Christakis. 2015 · 2015
Cited alongside, same era.
Later among the works it cites.
Inequity aversion improves cooperation in intertemporal social dilemmas
Edward Hughes, Joel Z Leibo, Matthew Phillips, Karl Tuyls, Edgar Dueñez-Guzman, Antonio García Castañeda, Iain Dunning, Tina Zhu, Kevin McKee, Raphael Koster, et al · 2018
Later among the works it cites.
Cooperation, clustering, and assortative mixing in dynamic networks
David Melamed, Ashley Harrell, and Brent Simpson. 2018 · 2018
Later among the works it cites.
Acme: A Research Framework for Distributed Reinforcement Learning
Matthew W. Hoffman, Bobak Shahriari, John Aslanides, Gabriel Barth-Maron, Nikola Momchev, Danila Sinopalnikov, Piotr Stańczyk, Sabela Ramos, Anton Raichuk, Damien Vincent, Léonard Hussenot, Robert Dadashi, Gabriel Dulac-Arnold, Manu Orsini, Alexis Jacq, Johan Ferret, Nino Vieillard, Seyed Kamyar Seyed Ghasemipour, Sertan Girgin, Olivier Pietquin, Feryal Behbahani, Tamara Norman, Abbas Abdolmaleki, Albin Cassirer, Fan Yang, Kate Baumli, Sarah Henderson, Abe Friesen, Ruba Haroun, Alex Novikov, Sergio Gómez Colmenarejo, Serkan Cabi, Caglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, Andrew Cowie, Ziyu Wang, Bilal Piot, and Nando de Freitas. 2020 · 2020
Later among the works it cites.
Heterogeneous knowledge transfers via hierarchical teaching in cooperative multiagent reinforcement learning. In Proc of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020) . 1–8
Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Gerald Tesauro, Murray Campbell, Sami Mourad, Golnaz Habibi, and Jonathan P How. 2020 · 2020
Later among the works it cites.
Evolution of cooperation on temporal networks
Aming Li, Lei Zhou, Qi Su, Sean P Cornelius, Yang-Yu Liu, Long Wang, and Simon A Levin. 2020 · 2020
Later among the works it cites.
Gifting in Multi-Agent Reinforcement Learning. In Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS ’20) . International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 789–797
Andrei Lupu and Doina Precup. 2020 · 2020
Later among the works it cites.
Network Engineering Using Autonomous Agents Increases Cooperation in Human Groups
Hirokazu Shirado and Nicholas A Christakis. 2020 · 2020
Later among the works it cites.
Temporal difference and return optimism in cooperative multi-agent reinforcement learning. In AAMAS ALA Workshop
Mark Rowland, Shayegan Omidshafiei, Daniel Hennes, Will Dabney, Andrew Jaegle, Paul Muller, Julien Pérolat, and Karl Tuyls. 2021 · 2021
Later among the works it cites.
Spurious normativity enhances learning of compliance and enforcement behavior in artificial agents
Raphael Köster, Dylan Hadfield-Menell, Richard Everett, Laura Weidinger, Gillian K Hadfield, and Joel Z Leibo. 2022 · 2022
Later among the works it cites.
Scaffolding cooperation in human groups with deep reinforcement learning
Kevin R McKee, Andrea Tacchetti, Michiel A Bakker, Jan Balaguer, Lucy Campbell-Gillingham, Richard Everett, and Matthew Botvinick. 2023 · 2023
Closest in time.