Modelling Cooperation in Network Games with Spatio-Temporal Complexity
暂无分享,去创建一个
Joel Z. Leibo | Richard Everett | Michiel A. Bakker | Laura Weidinger | Iason Gabriel | Edward Hughes | William S. Isaac | Edward Hughes | Richard Everett | Laura Weidinger | Iason Gabriel
[1] Hongyuan Zha,et al. Learning to Incentivize Other Learning Agents , 2020, NeurIPS.
[2] Eric Maskin,et al. Introduction to mechanism design and implementation† , 2019, Transnational Corporations Review.
[3] E. Fehr. A Theory of Fairness, Competition and Cooperation , 1998 .
[4] W. Hamilton,et al. The evolution of cooperation. , 1984, Science.
[5] Julian Togelius,et al. Procedural Level Generation Improves Generality of Deep Reinforcement Learning , 2018, ArXiv.
[6] John Shawe-Taylor,et al. Adaptive Mechanism Design: Learning to Promote Cooperation , 2018, 2020 International Joint Conference on Neural Networks (IJCNN).
[7] Ralf Lämmel,et al. WES: Agent-based User Interaction Simulation on Real Infrastructure , 2020, ICSE.
[8] Alexander Peysakhovich,et al. Maintaining cooperation in complex social dilemmas using deep reinforcement learning , 2017, ArXiv.
[9] Joan Cocks,et al. The Ethics of Care: Personal, Political, and Global , 2006, Perspectives on Politics.
[10] Martin A Nowak,et al. Direct reciprocity on graphs. , 2007, Journal of theoretical biology.
[11] Joel Z. Leibo,et al. Multi-agent Reinforcement Learning in Sequential Social Dilemmas , 2017, AAMAS.
[12] Paul Dütting,et al. Optimal auctions through deep learning , 2017, ICML.
[13] Guy Lever,et al. Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward , 2018, AAMAS.
[14] G. Owen,et al. A Simple Expression for the Shapley Value in a Special Case , 1973 .
[15] Abhijit Gosavi,et al. Global supply chain management: A reinforcement learning approach , 2002 .
[16] Guy Lever,et al. Human-level performance in 3D multiplayer games with population-based reinforcement learning , 2018, Science.
[17] Jonathan P. How,et al. Learning to Teach in Cooperative Multiagent Reinforcement Learning , 2018, AAAI.
[18] Shimon Whiteson,et al. Learning with Opponent-Learning Awareness , 2017, AAMAS.
[19] Iason Gabriel,et al. Artificial Intelligence, Values, and Alignment , 2020, Minds and Machines.
[20] Miklós Pintér,et al. The Shapley value for airport and irrigation games , 2011 .
[21] Joel Z. Leibo,et al. Inequity aversion improves cooperation in intertemporal social dilemmas , 2018, NeurIPS.
[22] Stephen J. Roberts,et al. Optimising Worlds to Evaluate and Influence Reinforcement Learning Agents , 2019, AAMAS.
[23] Alex Graves,et al. Asynchronous Methods for Deep Reinforcement Learning , 2016, ICML.
[24] Lawrence V. Snyder,et al. A Deep Q-Network for the Beer Game with Partial Information , 2017, ArXiv.
[25] Yuandong Tian,et al. M^3RL: Mind-aware Multi-agent Management Reinforcement Learning , 2018, ICLR.
[26] Thore Graepel,et al. A Neural Architecture for Designing Truthful and Efficient Auctions , 2019, ArXiv.
[27] Maria-Florina Balcan,et al. Mechanism design via machine learning , 2005, 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS'05).
[28] R. Trivers. The Evolution of Reciprocal Altruism , 1971, The Quarterly Review of Biology.
[29] Michael P. Wellman. Methods for Empirical Game-Theoretic Analysis , 2006, AAAI.
[30] G. Brady. Governing the Commons: The Evolution of Institutions for Collective Action , 1993 .
[31] Pingzhong Tang,et al. Reinforcement mechanism design , 2017, IJCAI.
[32] Lloyd S. Shapley,et al. Notes on the n-Person Game — II: The Value of an n-Person Game , 1951 .
[33] Doina Precup,et al. Gifting in Multi-Agent Reinforcement Learning (Student Abstract) , 2020, AAAI.
[34] Kagan Tumer,et al. Collective Intelligence, Data Routing and Braess' Paradox , 2002, J. Artif. Intell. Res..
[35] Nancy J. Hirschmann,et al. Moral Boundaries: A Political Argument for an Ethic of Care. By Joan Tronto. New York: Routledge, 1993. 242 pp. $173.00 (hardcover), $53.95 (paperback). , 2018, Politics & Gender.
[36] E. Ostrom. A General Framework for Analyzing Sustainability of Social-Ecological Systems , 2009, Science.
[37] Shane Legg,et al. IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures , 2018, ICML.
[38] J. Forrester. Industrial Dynamics: A Major Breakthrough for Decision Makers , 2012 .
[39] Özlem Ergun,et al. Mechanism design for a multicommodity flow game in service network alliances , 2008, Oper. Res. Lett..
[40] Nando de Freitas,et al. Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning , 2018, ICML.
[41] M. Jackson,et al. Games on Networks , 2012 .
[42] Alexander Peysakhovich,et al. Consequentialist conditional cooperation in social dilemmas with imperfect information , 2017, AAAI Workshops.
[43] Vincent Conitzer,et al. Complexity of Mechanism Design , 2002, UAI.
[44] P. Klemperer. What Really Matters in Auction Design , 2001 .
[45] Igor Mordatch,et al. Emergent Tool Use From Multi-Agent Autocurricula , 2019, ICLR.
[46] Dan W. Brockt,et al. The Theory of Justice , 2017 .
[47] Nikolaos Tziortziotis,et al. Reinforcement learning for supply chain optimization , 2018 .
[48] Ioannis P. Vlahavas,et al. Learning to Teach Reinforcement Learning Agents , 2017, Mach. Learn. Knowl. Extr..
[49] Tom Eccles,et al. Learning Reciprocity in Complex Sequential Social Dilemmas , 2019, ArXiv.
[50] Malte Risto,et al. The social behavior of autonomous vehicles , 2016, UbiComp Adjunct.