暂无分享,去创建一个
[1] Attila Szolnoki,et al. Punishment and inspection for governing the commons in a feedback-evolving game , 2018, PLoS Comput. Biol..
[2] Tobias Galla,et al. Intrinsic noise in game dynamical learning. , 2009, Physical review letters.
[3] Tom Lenaerts,et al. A selection-mutation model for q-learning in multi-agent systems , 2003, AAMAS '03.
[4] M. Common,et al. Natural resource and environmental economics , 1996 .
[5] Stuart J. Russell,et al. Approximating Optimal Policies for Partially Observable Stochastic Domains , 1995, IJCAI.
[6] Tobias Galla,et al. Complex dynamics in learning complicated games , 2011, Proceedings of the National Academy of Sciences.
[7] Juan C. Burguillo,et al. Timing Uncertainty in Collective Risk Dilemmas Encourages Group Reciprocation and Polarization , 2020, iScience.
[8] D. Blackwell. Equivalent Comparisons of Experiments , 1953 .
[9] R. Dukas,et al. Cognitive ecology II , 2009 .
[10] Karl Tuyls,et al. Evolutionary Dynamics of Multi-Agent Learning: A Survey , 2015, J. Artif. Intell. Res..
[11] Martin A. Nowak,et al. Evolutionary dynamics with game transitions , 2019, Proceedings of the National Academy of Sciences.
[12] Carl T. Bergstrom,et al. Stewardship of global collective behavior , 2021, Proceedings of the National Academy of Sciences.
[13] J. Kurths,et al. When optimization for governing human-environment tipping elements is neither sustainable nor safe , 2018, Nature Communications.
[14] ZhangChi,et al. Taming the uncertainty , 2016 .
[15] Josef Hofbauer,et al. Evolutionary Games and Population Dynamics , 1998 .
[16] Sam P. Brown,et al. An oscillating tragedy of the commons in replicator dynamics with game-environment feedback , 2016, Proceedings of the National Academy of Sciences.
[17] Alex McAvoy,et al. Asymmetric evolutionary games with environmental feedback. , 2018, Journal of theoretical biology.
[18] B. Kendall. Nonlinear Dynamics and Chaos , 2001 .
[19] John Loch,et al. Using Eligibility Traces to Find the Best Memoryless Policy in Partially Observable Markov Decision Processes , 1998, ICML.
[20] Jürgen Kurths,et al. Deterministic limit of temporal difference reinforcement learning for stochastic games , 2018, Physical review. E.
[21] Aram Galstyan,et al. Continuous strategy replicator dynamics for multi-agent Q-learning , 2009, Autonomous Agents and Multi-Agent Systems.
[22] Donald D Hoffman,et al. Natural selection and veridical perceptions. , 2010, Journal of theoretical biology.
[23] C. Hauert,et al. Evolutionary games and population dynamics: maintenance of cooperation in public goods games , 2006, Proceedings of the Royal Society B: Biological Sciences.
[24] Richard S. Sutton,et al. Predictive Representations of State , 2001, NIPS.
[25] Wolfram Barfuss,et al. Deep reinforcement learning in World-Earth system models to discover sustainable management strategies , 2019, Chaos.
[26] Donald D. Hoffman,et al. The Interface Theory of Perception , 2015, Psychonomic bulletin & review.
[27] Tobias Galla,et al. Fixation in finite populations evolving in fluctuating environments , 2014, Journal of The Royal Society Interface.
[28] Peter Dayan,et al. Q-learning , 1992, Machine Learning.
[29] Georgios Piliouras,et al. Game dynamics as the meaning of a game , 2019, SECO.
[30] P. Dayan,et al. Reinforcement learning: The Good, The Bad and The Ugly , 2008, Current Opinion in Neurobiology.
[31] Attila Szolnoki,et al. Environmental feedback drives cooperation in spatial social dilemmas , 2017, ArXiv.
[32] Karl Tuyls,et al. Evolutionary Dynamics of Regret Minimization , 2010, ECML/PKDD.
[33] Wolfgang Lucht,et al. Sustainable use of renewable resources in a stylized social–ecological network model under heterogeneous resource distribution , 2016 .
[34] Linda B. Smith. Cognition as a dynamic system: Principles from embodiment , 2005 .
[35] M. Nowak,et al. Evolution of cooperation in stochastic games , 2018, Nature.
[36] Dirk Helbing,et al. Adding noise to the institution: an experimental welfare investigation of the contribution-based grouping mechanism , 2017, Social Choice and Welfare.
[37] J. Crutchfield,et al. Coupled replicator equations for the dynamics of learning in multiagent systems. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[38] R. Mann. Optimal use of simplified social information in sequential decision-making , 2021, bioRxiv.
[39] Wolfram Barfuss,et al. Reinforcement Learning Dynamics in the Infinite Memory Limit , 2020, AAMAS.
[40] Michael I. Jordan,et al. Learning Without State-Estimation in Partially Observable Markovian Decision Processes , 1994, ICML.
[41] Richard S. Sutton,et al. Learning to predict by the methods of temporal differences , 1988, Machine Learning.
[42] Charles D. Kolstad,et al. Systematic uncertainty in self-enforcing international environmental agreements , 2007 .
[43] Chaitanya S. Gokhale,et al. Eco-evolutionary dynamics of social dilemmas. , 2015, Theoretical population biology.
[44] J. Kurths,et al. The physics of governance networks: critical transitions in contagion dynamics on multilayer adaptive networks with application to the sustainable use of renewable resources , 2019, The European Physical Journal Special Topics.
[45] Marcello Restelli,et al. Evolutionary Dynamics of Q-Learning over the Sequence Form , 2014, AAAI.
[46] S. Shettleworth. Cognition, evolution, and behavior , 1998 .
[47] P. Kollock. SOCIAL DILEMMAS: The Anatomy of Cooperation , 1998 .
[48] J. Norberg,et al. Modeling experiential learning: The challenges posed by threshold dynamics for sustainable renewable resource management , 2014 .
[49] Kyle D Stephens,et al. Fitness Beats Truth in the Evolution of Perception , 2020, Acta Biotheoretica.
[50] Jonathan P. How,et al. Decision Making Under Uncertainty: Theory and Application , 2015 .
[51] C. Kolstad,et al. Uncertainty, Learning and Heterogeneity in International Environmental Agreements , 2011 .
[52] Wolfram Barfuss,et al. Dynamical systems as a level of cognitive analysis of multi-agent learning , 2021, Neural Computing and Applications.
[53] Erol Akçay,et al. Evolutionary games with environmental feedbacks , 2018, Nature Communications.
[54] P. Todd,et al. Ecological Rationality: Intelligence in the World , 2012 .
[55] Jochem Marotzke,et al. The collective-risk social dilemma and the prevention of simulated dangerous climate change , 2008, Proceedings of the National Academy of Sciences.
[56] Satinder P. Singh,et al. Experimental Results on Learning Stochastic Memoryless Policies for Partially Observable Markov Decision Processes , 1998, NIPS.
[57] Jürgen Kurths,et al. Caring for the future can turn tragedy into comedy for long-term collective action under risk of collapse , 2020, Proceedings of the National Academy of Sciences.
[58] Pascal Poupart,et al. Partially Observable Markov Decision Processes , 2010, Encyclopedia of Machine Learning.
[59] J. Ponssard,et al. The values of information in some nonzero sum games , 1977 .
[60] Gerd Gigerenzer,et al. Heuristic decision making. , 2011, Annual review of psychology.
[61] Tilman Börgers,et al. Learning Through Reinforcement and Replicator Dynamics , 1997 .
[62] Scott Barrett,et al. Climate negotiations under scientific uncertainty , 2012, Proceedings of the National Academy of Sciences.
[63] Lenka Zdeborová,et al. Understanding deep learning is also a job for physicists , 2020, Nature Physics.
[64] Olivier Buffet,et al. Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing , 2020, ICML.
[65] M. Nowak. Five Rules for the Evolution of Cooperation , 2006, Science.
[66] Frans A. Oliehoek,et al. A Concise Introduction to Decentralized POMDPs , 2016, SpringerBriefs in Intelligent Systems.
[67] Shlomo Zilberstein,et al. Dynamic Programming for Partially Observable Stochastic Games , 2004, AAAI.
[68] Maja Schlüter,et al. The Survival of the Conformist: Social Pressure and Renewable Resource Management , 2010, Journal of theoretical biology.
[69] A. Dannenberg,et al. Tipping versus Cooperating to Supply a Public Good , 2015, SSRN Electronic Journal.
[70] J. Cross. A Stochastic Learning Model of Economic Behavior , 1973 .
[71] Elijah Roberts,et al. Cooperation dilemma in finite populations under fluctuating environments. , 2013, Physical review letters.
[72] Peter Dayan,et al. A Neural Substrate of Prediction and Reward , 1997, Science.
[73] G. Hardin,et al. The Tragedy of the Commons , 1968, Green Planet Blues.
[74] Adib Bagh,et al. On the Economic Value of Signals , 2019, The B.E. Journal of Theoretical Economics.
[75] Y. Moreno,et al. Cooperation in changing environments: Irreversibility in the transition to cooperation in complex networks , 2013, 1308.1133.
[76] Neil Immerman,et al. The Complexity of Decentralized Control of Markov Decision Processes , 2000, UAI.
[77] Martin L. Puterman,et al. Markov Decision Processes: Discrete Stochastic Dynamic Programming , 1994 .
[78] Peter Stone,et al. Reinforcement learning , 2019, Scholarpedia.
[79] Joseph Y. Halpern. Reasoning about uncertainty , 2003 .
[80] Vincent Marchau,et al. Decision Making under Deep Uncertainty: From Theory to Practice , 2019 .